Alexander Chapman is a leading global search firm specializing in comprehensive staffing and talent management solutions tailored to the unique needs of local, regional, national, and international businesses. With a dedicated focus on niche recruiting expertise and expert project management, Alexander Chapman excels in providing innovative solutions within the Finance sectors.

Alexander Chapman

Information Technology Recruitment Consultant

Jon Luzha

Machine learning expert needed in SF. In-office 6 days/week. Must have large-scale model training experience on 64+ GPUs, deep understanding of ML fundamentals, and real-time optimization skills. Experience with PyTorch/JAX, TensorRT/CUDA/Triton, and distributed training essential. Small company/startup background preferred. No visa sponsorship. Salary: $100K-$400K.

Guchan Ozbilgin

Shashank Rajput

Punit Bhatt

Stephane R.

Xinlei P.

We're putting dexterous robots to work in the real world, right now. Our team drives breakthroughs in high-performance runtimes, low-latency cross-continent control, novel teleoperation devices, robust inference algorithms, and more. We were the first company to deploy dexterous robots to solve meaningful customer challenges, performing a canonically difficult robotics task for months without failure. Modern infrastructure has become as intricate and dynamic as living organisms - requiring constant maintenance, monitoring, and care to thrive. We're creating an immune system that enables vastly more ambitious infrastructure projects, as robots can operate in environments and at scales that humans simply cannot.

Watney

We're looking for a machine learning virtuoso - someone who's been through the lifecycle of large-scale model development and real-world deployment. Previously, you might have trained perception models for autonomous vehicles, developed multi-modal transformers for manipulation, or scaled production ML systems handling petabytes of data. The models you'll architect will power thousands of deployed robots.

ML Engineer

San Mateo-based, on-site, no visa sponsorship. 150k-200k. Seeking experienced engineer with Python, AWS, PostgreSQL, RESTful APIs, cloud architecture. Diverse backgrounds encouraged. Mix of startup/big tech experience preferred. Must work Mon/Wed/Fri in SF Bay Area HQ. Build scalable AI-driven marketing systems, collaborate with design/product teams.

Maxim Glaezer

Millan Batra

Tofu is an early stage generative AI startup located in the SF Bay Area (San Mateo is our HQ) building a unified platform for creating hyper-personalized, omnichannel campaigns at scale that converts leads for B2B marketing teams. We sell to mid-market and enterprise Marketing leaders and work closely with their demand generation, product marketing, and content teams.

Tofu

We're after someone who doesn't just code, but crafts. Someone who enjoys solving customer problems and gets things done end-to-end. You should excel in:<ul><li>Python, AWS services and cloud architecture</li><li>PostgreSQL and database optimization</li><li>Designing and implementing RESTful APIs</li><li>Writing clean, efficient, and maintainable code</li><li>Building scalable, distributed systems</li><li>Thinking about system design holistically</li><li>At least 4 years of working experience (mix of startup and big company experience preferred)</li></ul>Bonus points if you have experience working with AI/LLMs and knowledge of AI model deployment and optimization.

Software Engineer (Backend and ML)

Backend Software Engineer (ML) needed in San Francisco, CA. Hybrid work, 3 days in-office. Visa sponsorship available. Must have proven backend systems experience, expertise in Go/Python/Java/C++, AI product experience, cloud services (AWS/Google Cloud), strong database skills. Responsibilities: API development, scalable ML models, document processing, knowledge graph enhancement, cross-functional collaboration. Salary: $200k-$220k. Prioritize female candidates with robust backend skills.

Alfred Ajay Aureate Rajakumar

Infinitus is a Healthcare AI communication company that automates routine calls for leading brands. With our digital assistant Eva, healthcare companies can offload thousands of benefit verification, prior authorization, and pharmacy calls per day. Infinitus automates calls between entities such as Pharmacies, Patient Access Programs, Hospitals, Providers, and Payors, enabling the US healthcare system to spend less time on hold and more time improving the patient experience.

Infinitus Systems

Infinitus offers a unique AI platform that provides AI agents and AI copilots to automate each step in support of the patient journey.  AI agents harness digital and voice-powered AI to efficiently gather data from government and commercial payors and PBMs to save time and accelerate patient access to care.   Our AI copilot, FastTrack, enables employees to bypass tedious IVR systems and hold times in making calls to payors to save time and scale your business.  These AI agents and copilots are built on a platform that combines a highly powerful AI system with robust operational guardrails to ensure safety and compliance.

Infinitus is automating routine tedious administrative work for healthcare workers. Tens of millions of Americans are under medical debt, and over half of healthcare workers are concerned about burnout. We are working to bring down costs, get patients to care faster, and free up healthcare workers to focus on patients.We’re looking for a seasoned senior Backend Software Engineer (ML) to help build and scale the core of our innovative healthcare solutions. As our system grows to serve an increasing number of customers, support a broader range of tasks for Eva—our digital health AI Agent —and automate critical administrative workflows in healthcare, this role offers an incredible opportunity to drive impact at scale. If you know someone excited about applying AI, NLP, and cutting-edge software engineering to healthcare challenges, we’d love to connect with them.

Backend Software Engineer (ML)

We’re looking for a seasoned Backend Software Engineer (ML) to help build and scale the core of our innovative healthcare solutions. As our system grows to serve an increasing number of customers, support a broader range of tasks for Eva—our digital health AI Agent —and automate critical administrative workflows in healthcare, this role offers an incredible opportunity to drive impact at scale. If you’re excited about applying AI, NLP, and cutting-edge software engineering to healthcare challenges, we’d love to connect.
In this role, you’ll contribute to:
●	API Backend Development: Architect, scale, and optimize the APIs that form the backbone of our platform, enabling seamless integrations and data flows across our ecosystem.
●	Statistical Machine Learning: Design and implement scalable ML models to improve automation, efficiency, and accuracy in solving complex healthcare tasks.
●	Document Understanding: Advance our ability to extract and process critical information from healthcare documents to power smarter decision-making.
●	Knowledge Graph Development: Build and enhance our knowledge graph to link and structure vast healthcare data for better insights and automation.
●	Cross-Functional Collaboration: Partner closely with our NLP team to integrate advanced language models, ensuring Eva continues to excel at understanding and automating routine healthcare communications..
Infinitus is automating routine tedious administrative work for healthcare workers. Tens of millions of Americans are under medical debt, and over half of healthcare workers are concerned about burnout. We are working to bring down costs, get patients to care faster, and free up healthcare workers to focus on patients.

We're a team of ex-Googlers, startup veterans, industry and healthcare experts. We're backed by Kleiner Perkins, Coatue Management, Andreessen Horowitz and Google Ventures, along with individual investments from a selection of executives across AI and tech: Ian Goodfellow, Gokul Rajaram, Aparna Chennapragada and Qasar Younis. 
Competencies
●	Has worked across multiple tech-stacks, and thrived in collaborating with Data Science, Machine Learning, Frontend/Applications and Infra teams. 
●	Has delivered, scaled and maintained a number of highly successful enterprise or consumer products. 
●	Has led and influenced multiple teams of engineers on technical design, and implementation. 
●	Has shown entrepreneurial spirit (e.g. worked at an early stage startup, or has started and delivered on a new product from the ground-up). 
●	Has led technical excellence efforts, and recognized, and reduced tech debt while delivering customer value. 
●	Is a prolific individual contributor, who role models developing quality software and technical design. 
●	Great cross functional communicator, who partners with product managers, designers, and analysts to deeply understand the needs of our users and build a product that serves those needs. 
●	Contribute to the short and long term roadmaps, and make effective tradeoffs between impact, user experience, and a high-quality technical foundation. 
●	Improve the team and company - be an active participant in our culture (hiring, mentoring, new initiatives). 
●	Aligns with our values of: Customer Obsessed; Optimistic; Disagree+Commit; Engage Employees; See, Say, Do.
Minimum Requirements
●	Proven experience in designing and implementing scalable, robust backend systems.
●	Curiosity of machine learning concepts, algorithms and infrastructure requirements.
●	Expertise in languages such as Go, Python, Java, C++ or similar, with a focus on backend development.
●	Hands-on experience with cloud services like AWS, Google Cloud.
●	Extensive experience in designing, developing and maintaining APIs for seamless integration of backend services.
●	Strong knowledge of database technologies, both SQL and NoSQL and experience in optimizing database performance.
●	7 years of hands-on engineering experience, with demonstrated growth



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.

Mojtaba Komeili

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.

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