DGC Search is boutique search firm connecting industry-leading companies with exceptional talent in Quantitative Finance, Data Science, Data Engineering &amp; Software Engineering. We provide highly bespoke permanent and contract recruitment solutions.  

Our expertise streamlines the hiring process, bringing you the top talent with maximum speed and efficiency. We’re passionate about building long term partnerships, and diving deep into your culture to truly understand your talent acquisition needs. We maintain the human connection while employing cutting-edge AI recruiting tools for talent insights, sourcing, and outreach.

Founder Denis Goncharov-Carey offers 15+ years of industry experience with a proven track record of completing contingency and retained search assignments from Analyst, VP, Director, MD, to C-suite level. He has represented some of the world’s leading Investment Banks, Hedge Funds, Asset Managers, Fintech firms, and Fortune 500 companies in range of industry sectors.

DGC Search

DGC Search is boutique search firm connecting industry-leading companies with exceptional talent in Quantitative Finance, Data Science, Data Engineering & Software Engineering. We are dedicated to our mission of streamlining the recruiting process by maintaining the human connection and offering a highly bespoke service, while employing cutting-edge AI recruiting tools for talent insights, sourcing, and outreach. We provide permanent and contract recruitment solutions.We’re passionate about building long term partnerships, and diving deep into your culture to truly understand your talent acquisition needs. Fast moving sectors require an agile talent acquisition partner to enhance your search by identifying, attracting, and delivering top performers with maximum speed and efficiency.Founder Denis Goncharov-Carey offers 15+ years of industry experience with a proven track record of completing contingency and retained search assignments from Analyst, VP, Director, MD, to C-suite level. He has represented some of the world’s leading Investment Banks, Hedge Funds, Asset Managers, Fintech firms, Startups, and Fortune 500 companies in a range of industry sectors.https://dgcsearch.com/Denis@dgcsearch.com

Founder

We exist to build the House of Oculus – a coalition of the ultimate recruitment elite, always available under one accessible roof.

Our network of specialists are on a mission to meaningfully change the state of play within recruitment, becoming a master of all trades, and Jack of none.

Currently in the process of expanding and launching a series of new brands. Searching for ambitious individuals to pioneer their own industry for various new sub-brands; from tech to legal, healthcare to construction, and many more.

Bored of being the best biller in your agency but receiving a meager amount of commission?...

Then come and join the House of Oculus and earn WAY more! Plus - you work HOW you want, WHERE you want and WHEN you want!

Oculus Group, LLC

Partner

Since 1991, BrainWorks has been providing smarter executive recruiting services in the practice areas of Consumer Insights, Consumer Products, Decision Sciences, Market Research, and Relationship Marketing.

We find leaders. And innovators. And do-ers. We help our clients find the people who will drive their future success.

At our core, we are executive recruiters. We find talent. 

Great jobs. Better insight. Exceptional support.
And at BrainWorks, we have the connections to lead you to exceptional career options in your field.
When you partner with BrainWorks, we act as your career advisor and opportunity scout. Our job is to find the opportunities that are the best match to your skills, experience and ambitions.

Better talent. Faster hires.
Our professional researchers will source the best talent in the field…not those just looking for work.
When you partner with BrainWorks, your company receives business intelligence and industry expertise from professional search consultants who are trustworthy, caring and passionate about your success.

At BrainWorks, we pride ourselves on developing long-term consultative relationships that will help you enhance your career or assist your company to staff more strategically. When you partner with BrainWorks, your company receives business intelligence and industry expertise from professional search consultants who are trustworthy, caring and passionate about your success.

BrainWorks

National Practice Leader with 15+ years of recruiting industry experience within Quantitative Finance & Technology, partnering with Investment Banks, Hedge Funds, Asset Managers, FinTechs, and Startups across a range of industry sectors in Europe and the US. Contact number: +1 646 939 9734

National Practice Leader, Managing Director - Quantitative Analytics & Technology

Since 1980, ANALYTIC has been a leader in contingent and retained staffing of both permanent and contract roles that require advanced quantitative and technology-driven skills. We specialize in sourcing top talent in AI, Data Science, Quantitative Analytics, and IT.

Our nationwide practice focuses on connecting professionals with quantitative roles across diverse industries, including:

o	Data Science and AI
o	Data Analysis
o      Decision Sciences
o	Alternative Data Research
o	Asset Management
o	Consumer and Commercial Risk Management
o      Pharmaceutical and Life Sciences 
o	Capital Markets
o	Marketing and Digital Analytics
o	Quantitative Research
o	Technology
o	Structured Products
o	Investment Portfolio Management
o	Fixed Income and Equity Risk Management
o	Private Equity and Hedge Funds
o	High-Frequency Trading
o	Product Control and Valuation
o	Statistical Analysis
o	Business Intelligence
o	Operations Research
o	Supply Chain Management

For over four decades, we’ve built a reputation for delivering exceptional talent solutions to meet the evolving needs of businesses across the nation.

Please visit our website for more information at www.analyticrecruiting.com.

Analytic Recruiting Inc.

My specialist areas:•	Quantitative Analytics, Portfolio Management, Trading & Research. •	Software Engineering: Back-End, and Full-Stack; C++, Java, Python, C#, JavaScript.•	Data Science, Data Architecture, Data Engineering.

Executive Recruiter - Quantitative Analytics and Software Engineering

Founded in 1990, Solomon Page is a leading staffing and executive search firm headquartered in New York City with offices across the United States. The success of Solomon Page is defined by its people. Built on a

Solomon Page Group

I am an experienced executive search consultant with over 8 years of talent acquisition expertise across a global client base of Financial Technology firms, Investment Banks, Hedge Funds, Asset Managers and Proprietary Trading firms.I specialize in talent acquisition within software engineering and quantitative finance across multiple asset classes and business areas: electronic trading, quantitative analysis, modeling & research; systematic, automated and algorithmic trading; quantitative development and front-office software development assignments for full-time and consulting personnel. 

Executive Search Consultant

Cititec

I predominantly cover the insurance market with a specialism in the Underwriting & Broking sector. I have a successful track record of identifying and securing the top talent for clients in London, Zurich, Bermuda and North America. I am a chosen partner on complex mid-senior appointments working with reinsurers, brokers, consulting firms and boutique software houses. Separately, I am also assisting with new business and delivery in the financial technology market across London and New York. I have a successful track record of placements in Sales, Algorithmic Trading, Product Development, Quantitative Finance, Data Science, R&D and Financial Engineering. We’re proud of our ethical approach and our technical expertise. We believe in the technical training and support we give our people and we value the strong culture we've created as a team. We call our approach: Human recruitment for a technical world.

Principal Consultant

Elgin White

I covered a range of search mandates across front and middle office functions for a diverse client base consisting of investment banks, asset managers, hedge funds, brokers and financial technology providers.

Senior Consultant

Denis Goncharov-Carey

Applied Research Engineer in SF, on-site 5 days/week. Must love teamwork, video AI, and have GitHub or project showcase. Strong Python, ML/Deep learning skills. Translate customer needs into product improvements. Experience in scrappy startups preferred. Visa sponsorship available. Salary: $120K-$225K.

Arnav Kapoor

Yifan (Evan) Wu

Kenneth Koh

Dylan Ler

Ammar Haydari, PhD

Aura Arefeh Yavary

<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sievedata.com/">Sieve</a> is an AI compute platform for video. Our goal is to build useful primitives to understand, manipulate, and create video so we can accelerate all applications of it.Today, video makes up over <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.socialpilot.co/blog/video-marketing-statistics">82% of internet traffic</a> and every application of it is growing extremely quickly — media, communications, VR, gaming, robotics, automotive, etc. TikTok went from 0 → 2B users in the last decade. Video conferencing is used many times a day by every knowledge worker. <a target="_blank" rel="noopener noreferrer nofollow" href="https://deepmind.google/technologies/veo/veo-2/">Google’s Veo 2 model</a> generates physically realistic video. Waymo now has <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.thedriverlessdigest.com/p/waymos-market-share-is-now-equal">more market share than Lyft</a> in SF ride share. Tesla is scaling humanoid robots.As these applications grow, the need to process video grows too. But unlike other data types, video is complex, and applications of it require purpose-built pipelines to tackle specific problems. Some examples:<ul><li>Translating videos with perfect voice timing + intonation and on-screen text manipulation</li><li>Tracking which person is actively speaking in a video</li><li>Collecting &amp; cleaning millions of highly emotive talk head video for foundation model training</li><li>Tracking eye gaze and exact emotion of people as they react</li><li>Separating the foreground and background of a high-motion video clip</li><li>Finding all the most interesting plays in a sports game recording</li></ul>At Sieve, we engineer production-grade pipelines to understand, manipulate, and create video — along with flexible abstractions to run custom pipelines. These pipelines already power core features in some of the most popular creative and social video platforms in the world, and are also helping research teams collect &amp; annotate large datasets to train better video models.Why developers use SieveThe unique complexity of video requires both R&amp;D and infrastructure that is intricate, expensive, and time-consuming to build in-house. Sieve comes with a set of production-grade pipelines engineering teams don’t need to worry about building or maintaining, along with infrastructure abstractions that make it easy to develop increasingly complex and specific video processing tasks on top.

Co-Founder, CEO

Sieve

Sieve is the AI developer platform for video. We build & manage production-grade pipelines that can understand, manipulate, and create it for a variety of applications. These pipelines serve as useful primitives which developers can then use to power their applications across industries like communications, social, media, robotics, and VR.

We're looking for an Applied Research Engineer to join our team in SF! This person will build <a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://www.sievedata.com/explore">pipelines</a> that understand, manipulate, and generate video. Often this involves working on ambiguous research problems and finding clever techniques to solve them. We're looking for people who are comfortable working with models and squeezing every drop of performance out of them through clever pre/post-processing, pipelining, inference optimization, and fine-tuning.

Applied Research Engineer

Senior Machine Learning Engineer, San Mateo, CA, on-site. Master’s/PhD in CS/ML. Strong startup background, pre-Series A. Expertise in NLP, large language models. Full-stack ML from training to deployment. Python, Scikit-Learn, TensorFlow, PyTorch proficiency. AWS experience. Drive AI innovation for CX automation. Visa sponsorship available. $200k salary.

Thomas Pumir

Customer support automation platform powered by generative AI and Low-code. Our mission is to bring effortless customer and agent experiences to every company that is obsessed with its customers but doesn't have an army of engineers.

KODIF

As a Senior Machine Learning Engineer, you'll be at the forefront of developing cutting-edge AI solutions for customer support automation. You'll have the opportunity to work on innovative projects that directly impact our product and customers.Responsibilities<ul><li>Drive innovation in our AI-powered customer support automation platform</li><li>Collaborate closely with product &amp; design and other teams to integrate ML solutions</li><li>Stay current with the latest advancements in AI and ML, particularly in NLP and GenAI</li></ul>

Senior Machine Learning Engineer

At least 3 days a week in office in San Mateo, CA

Senior ML Engineer at Fitbod. Focus on production ML systems, personalization, and recommendation algorithms. Collaborate with data scientists and engineers. Must have strong software engineering background, Python and ML frameworks expertise, and experience in health-tech. Remote, North America preferred. No visa sponsorship. Salary: $150K-$200K.

Elna M.

Strength training is a simple, accessible way for anyone to improve quality of life that’s hiding in plain sight. Fortunately, more people are discovering strength training than ever before. We’re not just focused on the advanced gym-goer. Rather, we are unlocking functional movement, strength, flexibility, and freedom from pain for millions of people.Our recommendation AI is used by hundreds of thousands of paying customers. It employs advanced statistics, machine learning, and over 400 million fitness data points to create highly personalized and flexible fitness plans.

Fitbod

Data-backed Workouts - Fitbod’s AI learns from each workout you do so you make more progress every time you train.

Constant Personalization - Fitbod builds workouts according to your exact preferences and optimizes each with exercise science.

Advanced Metrics - Fitbod’s breakthrough metrics show your strength gains, lifting ability and recovery status.

We are seeking a Senior Machine Learning Engineer to join our growing team. In this role, you will develop and deploy machine learning models that enhance the personalization and effectiveness of our fitness platform. You will work closely with product managers, data scientists, and engineers to deliver scalable and impactful solutions.

Build machine learning systems for AI-driven capital allocation. Must have strong AI idea generation history, exceptional engineering skills, top school background (Stanford, CMU, Harvard), and fluency in English. Located in San Francisco, hybrid work model, visa sponsorship available. Salary: $150K-$250K.

Jonathan Bourne

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build the machine learning systems that power our general artificial intelligence for capital allocation. We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

Applied AI Researcher

Visa sponsorship available to exceptional candidates that don't have work rights in the US

Senior Backend Engineer: Focus on system architecture for popular products. Must have product/customer mindset, visual design eye, deep SOA knowledge. Experience with async, distributed systems (Kafka, Clickhouse), proficient in Typescript or willing to learn. Early-stage startup experience and former founder preferred. Hybrid in San Francisco. No visa sponsorship. $180K-$250K.

Jeremy Brown

Replo helps companies sell on the internet.We do this by helping teams automate performance marketing with data and AI agents.Today, companies on the internet spend a fortune trying to figure out the right audience, messaging, and experience to maximize revenue online.They spend 100s of hours digging through analytics tools, ad platforms, and spreadsheets every month, and $100,000+ on marketing agencies and developers.We think most of this can be automated in the next 4-5 years.We built Replo to analyze your online traffic, provide deep insights, test new ideas, and implement those strategies 10-100x faster. Instead of taking weeks to launch a new product online, all you'll need to do is give Replo a budget, a product, and a target market and we'll figure out the rest.

Replo

About the roleWe're hiring a senior backend engineer to join our team and focus on system architecture behind a lot of our most popular products.Things you'll be working onArchitecting and implementing backend systems in Typescript/Node is the core of what you’ll be doing. Real examples include —<ul><li>Designing and building an ingestion pipeline for Replo Analytics (&gt; 99.99% uptime on Kafka, Clickhouse, Redis)</li><li>Building out an A/B testing platform (Cloudflare)</li><li>Spiking on our CI platform to improve stability</li><li>Deploying a multi-tenant NextJS app to render pages on Cloudflare and automatically revalidate in response to queued webhook handlers</li><li>Mentoring junior engineers on best-practices</li></ul>

Senior Backend Engineer

About the role
Hiring a senior backend engineer to join our team and focus on system architecture behind a lot of our most popular products.


Things you'll be working on
Architecting and implementing backend systems in Typescript/Node is the core of what you’ll be doing. Real examples include —

Designing and building an ingestion pipeline for Replo Analytics (> 99.99% uptime on Kafka, Clickhouse, Redis)

Building out an A/B testing platform (Cloudflare)

Spiking on our CI platform to improve stability

Deploying a multi-tenant NextJS app to render pages on Cloudflare and automatically revalidate in response to queued webhook handlers

Mentoring junior engineers on best-practices

Looking for someone who
Can be hybrid in San Francisco.

Has deep knowledge in distributed systems and SOA — load balancers, databases, queuing, caching, HTTP, APIs, high-availability, fault tolerance, redundancy, at-least-two-of-everything.

Down to do full-stack work (including frontend even if it's not your main role).

Is ALWAYS SHIPPING. We don't spend weeks planning features at Replo.

Has 4+ years of professional experience with production distributed systems, service oriented architecture.

Proficient in Typescript. If you have experience writing these systems in Python/Go/Java that’s cool too, as long as you’re willing to learn Typescript/Node — the learning curve on writing TS isn’t that high for high-caliber engineers. Experience or working knowledge of React is great too, but we can teach you that if we need to.

Has a product and customer-focused mindset.

Has experience being burned by deployment and maintenance issues. If you have a a strong opinion on how backend systems should be built, that’s good.

Values writing clean, maintainable software, including documentation (e.g. the code needs to be correct and run fast, but we’re the ones that have to read it and understand it).

Is comfortable with ambiguity and defining software architecture patterns to solve customer pain points.

Bonus points if you
Have started a company before

Enjoy attending hackathons

Worked at an early-stage (Series A or earlier) startup previously

Have not wasted hours interview-prepping on Leetcode

Have an eye for visual design (or past experience in product design, Figma, etc).

The salary range offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered.

Replo is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Note on Visas — At this time, Replo is unfortunately unable to support employees on visas.

Seeking top-tier ML Engineer in SF, on-site. Must excel in competitive pursuits, grasp modern programming languages/AI frameworks (Python, LangChain, etc.), database tech (Postgres), AWS. Proven substantial build (open-source/side project). Solve real user problems, learn independently. No visa sponsorship. Salary: $150K-$250K.

Matthew E.

We're building AGI for financial institutions.Casca was founded by banking industry and machine learning experts from Stanford University. The company is backed by industry veterans &amp; top-tier venture capital investors, including: Peterson Ventures, Y Combinator, The Sarah Smith Fund, and Clocktower Technology Ventures.Experience the future of lending for yourself! FDIC-insured banks and fintechs use Casca to process business loan applications with 90% less manual effort and 300% higher conversion rates. Casca's AI Loan Assistant communicates with applicants via email and SMS - reactivating up to 50% of churned leads. Casca is built upon responsible, compliant AI practices, including human-in-the-loop monitoring.

Casca

Small businesses are the heart of the American economy and a lot of banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes and unlocks affordable, quick bank funding for the 30M+ small businesses in the US as opposed to the high interest rates from predatory online lenders.As an Senior ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get affordable funding.All-Stanford Founding Team<ul><li>Lukas (Stanford MBA), grew a banking software company to $150M+ ARR &amp; 400+ employees.</li><li>Isaiah (Stanford CS), build a conversational AI platform to handle 20M+ conversations each year @ a Series D startup ($1B+ valuation).</li></ul>Our Culture<ul><li>Ownership: We take responsibility and do not assign blame. Building great software is hard and when something is broken, we ask ourselves "How can I fix it?"</li><li>Competition &amp; Excellence: We are a fun group of former competitive athletes and gamers. We like to win and we know that the only thing between us and the title is our own ability to improve every day.</li></ul>What you'll do:<ul><li>Contribute rapidly to our software platform that automates the lending process and helps our customers operate their banks more efficiently</li><li>Develop and own new features that increase value for our customers</li><li>Propose meaningful improvements to our AI system, software architecture and design patterns</li><li>Learn and drive engineering best practices</li><li>Leverage automating testing and continuous integration / continuous delivery in order to rapidly iterate on our product</li></ul>

Senior ML Engineer

Open to candidates on OPT/STEM OPT. Currently not set up for full H1B sponsorship. 50/50 process for right candidates already in US

Backend Engineer in SF. Must-have: Python expertise, Node.js/TypeScript, GitHub/open-source contributions, scalability experience. Build/scale backend services from scratch. Work closely with product/frontend teams, manage GCP infrastructure. In-office 4+ days/week. No visa sponsorship. Salary: $100K-$175K. Collaborative startup environment, doubling team size soon.

Simplify is building the AI-enabled infrastructure to power the next generation of hiring – reimagining how people discover and secure their next career opportunity. We believe that everyone deserves an all-star talent agent helping them plan, manage, and accomplish their career goals, no matter their background, location, or education.Through our flagship product, Copilot, we've helped over 1M+ job seekers discover and apply to over 100 million jobs - and we've done this with a tight-knit team of just 7 people. We're rapidly expanding on both the candidate and recruiter fronts, focused on our vision of building a common app and personal AI agent for your career.Backed by top-tier investors including Craft and YCombinator, we're a mission-driven team working to democratize the job search and disrupt the way hiring works today.

Simplify

MUST: PythonResponsibilities<ul><li>Design, develop, and maintain scalable backend services to help us serve millions of users daily</li><li>Work closely with the product team to launch new features</li><li>Collaborate with frontend engineers to design and implement RESTful APIs and shared API client libraries</li><li>Architect and manage deployment of our cloud infrastructure on GCP</li><li>Ensure high performance, reliability, and security of backend systems</li></ul>

Founding Backend Engineer

Founding Backend Engineer
About Company
Simplify is building the AI-enabled infrastructure to power the next generation of hiring – starting by creating the best job search experience out there. Over the last 3 years, we’ve helped over 500,000 job seekers discover and apply to over 35 million jobs – with a team of just 7 people. We’re a tight-knit, mission driven team backed by the very best investors (Craft, YCombinator) on a mission to disrupt the way hiring works today. So… if you’re passionate about helping people and seeing your work directly impact hundreds of thousands of users – we’d love to have you join us! :)

Responsibilities
Design, develop, and maintain scalable backend services to help us serve millions of users daily
Work closely with the product team to launch new features
Collaborate with frontend engineers to design and implement RESTful APIs and shared API client libraries
Architect and manage deployment of our cloud infrastructure on GCP
Ensure high performance, reliability, and security of backend systems
Requirements
You consider yourself a Pythonista and stay at the forefront of Python tooling such as uv, ruff, mypy, etc.
You have equivalent project or work experience in scaffolding and scaling backend services in Python
You are knowledgeable in PostgreSQL systems and are familiar with tooling in the Postgres ecosystem, such as PGBouncer or PGVector
You are familiar with Public Cloud services, specifically GCP
You have a strong understanding with profiling and optimizing route performance
You have a sharp eye for developer tooling and are well versed in scripting
Experience with CI/CD pipelines and DevOps practices
Comfortability using bash/scripting as well as Docker and Redis
Desirable
Experience with microservices architecture
You have equivalent project or work experience in Generative AI projects and have a general understanding of agentic systems and frameworks
Contributions to open-source projects (we publish and maintain our own libraries)
Familiarity with machine learning frameworks and integration
You have experience with Node.js and Typescript
Simplify
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Founding Engineer in SF's Design District. Hybrid: 4 days in-office. Visa sponsorship available. Must have Python expertise, managerial experience, startup intensity, top-tier engineering degree. Build AI integration tools, lead projects 0 to 1, collaborate with founders. Salary: $130k-$200k. Diverse company size experience required.

Rachel Chen

At Sol, we’re building a developer-first platform to transform how voice &amp; video AI will get implemented in enterprise. Our mission is to simplify AI implementation across enterprise communication tools— like VoIP, email, SMS, and meeting platforms — while enabling real-time, high-volume data processing that’s secure and compliant.We're integration-industry veterans and backed by one of the top AI &amp; infra investors. We want to redefine the integration building-blocks and power the next generation of AI-native software companies.

At Sol, we’re redefining how developers implement voice and video AI, making enterprise communication tools smarter, more scalable, and easier to integrate.As a founding engineer, you will:<ul><li>Build and own Sol’s ingestion platform, driving key architectural decisions.</li><li>Collaborate directly with customers to develop intuitive, impactful solutions to real-world challenges.</li><li>Experiment with multi-modal AI technologies to design scalable, real-time systems.</li><li>Establish Sol’s technical foundation with a focus on security, scalability, and developer experience.</li><li>Work closely with the founders to shape our engineering culture and practices as we scale.</li></ul>In this role, you will:<ul><li>Solve complex technical challenges at the intersection of AI and enterprise communication.</li><li>Lead projects from 0 to 1, contributing to both product innovation and team growth.</li><li>Be part of a founding team backed by leading AI and infrastructure investors, helping to build a platform that powers the next generation of AI-native software companies.</li></ul>

Founding Engineer

In-person 4 days a week in SF (Design District), otherwise remote. 

First machine learning engineer needed to build intelligence layer for data activation products. Must have experience in ML, modeling, backend engineering, distributed systems, and LLMs. Strong backend and ML principles required. Remote work, visa sponsorship available. Salary: $200K-$260K. Report to Ernest.

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations. Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.Hundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

VP of Engineering

Hightouch

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

Machine Learning Engineer, AI Decisioning

Computer Vision Engineer needed. **Key requirements**: Research & implementation, 3D mathematics, classical algorithms, C++ expertise, defense sector comfort, PST collaboration. **Responsibilities**: Develop robotic perception techniques, write production C++ code, recruit & lead engineers. **Location**: Remote (US). **Visa**: No sponsorship. **Salary**: $155k-$205k.

Ian George

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.

Compound Eye

We're looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.

Senior Engineer, Computer Vision

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
As a computer vision engineer at Compound Eye you’ll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial odometry, and more. You will:
Contribute to the development of state-of-the-art techniques and algorithms for robotic perception
Write production code in C++ for a variety of platforms, including GPUs
Help to recruit and potentially lead a team of similarly-qualified engineers
To thrive in this role you have:
A good grasp of linear algebra
Extensive experience writing production quality code in C++
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL
We’re looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.

Additional Notes:
Direct classical computer vision experience
Of particular interest are people that worked with pose estimation, calibration and sensor fusion.
Experience (and interest) focused on classical algorithms.
They will be creating and implementing very mathematically involved algorithms.
They will implement them in C++.
Heavy skills in 3D math & non-linear optimization.
We don’t prioritize years of work, but I would be surprised if anyone with fewer than 3 years experience hits this.
Work history and skills are more important than degrees and alma maters.
Transparent that we work in defense. We know this isn’t for everyone and our product is focused on consumer vehicles long-term, but for now, we do have defense projects.
Posted Range: $155-205 USD
Some travel required: ~5%
At this time we can’t accept visa candidates for this role due to government contracts. US Citizens or Greencards only.
Interview Process:
Application Review
Coding Challenge
Technical Interview (45 minutes)
Multipart Technical Interview
Offer
Company Notes:
Remote First, Permanently
US Based only
Can work from our office in Redwood City, but most days it’s empty
Team get togethers a couple times a year are optional but highly recommended
Equity (still under 20 EEs)
Medical/Dental/Vision
401k w/ match
Discretionary PTO (and we mean it)
Paid Family Leave

Must be a US citizen or current green card holder

Remote (US), working in PST, up to 5% travel required

ML Engineer, NYC: Design/build ML agents for accounting workflows. Experience in LLMs, agent architectures, RL. Interdisciplinary, first-principles thinker, company builder. Full-time on-site, 5 days/week. Visa sponsorship available. Salary $100K-$300K. High growth, high responsibility, high reward. Join us to shape the future of finance tech.

Basis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getbasis.ai/about">here</a>.Why join<ul><li>World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross and many leaders from the ML and fintech community. Check out our announcement for an expansive list</li><li>Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months</li><li>Be part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1</li><li>In person &amp; interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems</li><li>High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun</li><li>Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too</li></ul>

Basis

As a leader on our Agent Design team, you'll be responsible for designing, building and iterating on our system of agents that end-to-end complete workflows. You will work closely with our ML research team to incorporate the latest research, run experiments, and bring idea to life. We look for engineers who have experience with and/or a keen interest in LLMs, agent architectures, information theory, and RL.

Member of Technical Staff - ML & Agent Design (Staff)

Full-stack Engineer in SF, hybrid 3 days/week, no visa sponsorship. Must have CS degree from top university, 3-6 years experience. Proficient in Typescript/React/Node. Experience with deployment issues, hackathons, fast-paced environments, and building products 0-1. Former founder or early-stage startup experience preferred. Salary: $120k-$250k.

Matin Massoudi

Replo helps companies sell on the internet. Today, our platform helps ecommerce businesses automate performance marketing with data and AI agents.Founded in 2021 by Yuxin Zhu and Noah Gilmore, we've experienced rapid growth, surpassing 1,000 paying customers in just six months.We are hiring a mid to senior/staff level full-stack engineer to join our team in-person 3 days/week in San Francisco and focus on shipping products.

Software Engineer (Full-Stack)

At this time, Replo is unfortunately unable to support employees on visas.

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