At Advex, we're working on solving the hardest problem in all of computer vision – data collection. In order to train a reliable AI model, you need access to the right training data. The inability to gather the right data has been the primary obstacle in global adoption of computer vision in mission critical industries like manufacturing and industrial automation.Our technology improves model performance by 20-30% for any computer vision task while simultaneously reducing production costs by 10x. Our customers include Fortune 500 companies and some of the fastest-growing startups in the world. We invite you to join us at the ground level as we embark on rapid expansion of our product offerings and customer base.

Advex AI

As a Machine Learning Research Engineer at Advex, you will play a pivotal role in shaping the company's technical direction.We are seeking an individual who is strategic, capable of transforming research constraints and product specifications into an enterprise-ready application. We value self-starters who aren't afraid to dive into the details and iterate on prototypes in the early stages of development.

Machine Learning Research Engineer

Note: we are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey. This includes offering assistance to international students and workers with various types of visas, such as OPT, H1, EB, and more.

Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.

Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.

We've recently raised $28M.

Talent and Ops

Magic AI

Code completion that operates across your repository. Magic helps you edit code across your entire repository.

For decades, technology has been just a tool. Soon, it will be your partner. What if you had a colleague inside your computer? We're working on fundamental research challenges to make this possible.

Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?

For decades, technology was “just a tool.” Soon, it will be a partner. We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.

As a Research Engineer, you’ll work on training, evaluating, and serving large AI models, internet-scale dataset building, and help prototype new research and product ideas.

Research Engineer

We can sponsor visas for the right candidate

In-person (London, SF, NYC, or Vienna) or remote

Character’s mission is to give everyone on earth access to their own deeply personalized superintelligence that helps them live their best lives.

We recently raised $150M in funding. 

Check out our beta at https://beta.character.ai/ to get a glimpse into the future.

Growth

Character AI

We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.

Senior Software Engineer, Machine Learning Infrastructure

We can sponsor visa for the right candidate

this role is on-site in either Palo Alto or NYC. Office is in downtown Palo Alto near Stanford campus

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.We are a hybrid company, with over half of our team (and office) located in San Francisco.

Co-founder and Chief Scientist

Cleanlab

At Cleanlab you will figure out how to best leverage new Generative AI advances for better tools that automatically find &amp; fix issues in datasets. The north star of our company is to use AI to increase the value of Data. Work with text, structured/tabular, and image/video datasets from companies across diverse industries, and help them address high-impact Data/AI challenges.Help lead a brilliant team of ML engineers building the most useful Data-Centric AI platform.Publish articles and open-source code.We’re looking for PhD in Machine Learning, or equivalent tech industry experience.Extremely strong Python skills and experience productionizing code/models in cloud environments. You should be comfortable with big datasets/models.Desire to have a huge impact on your company, as well as the general way Data/AI projects are done, by building useful/practical tools quickly (simplicity over complexity).

ML Tech Lead (Science and Engineering)

URL:https://cleanlab.ai/careers/ml-scientist/
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We are willing to sponsor visas for the right candidate

Hybrid work (3 days per week in our SF office)

Extend is building the next generation document processing cloud. We're enabling ambitious technical &amp; product teams to turn their messy documents into a competitive advantage.Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Co-Founder & CTO

Extend

Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As an AI Engineer at Extend, you’ll design novel techniques, systems, and human ↔ AI interfaces for building LLM agents that operate on complex data streams. We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about empowering organizations with AI.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex problems you’ll be working on:<ul><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we deploy non-deterministic AI into mission-critical flows?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li></ul>

Senior AI Engineer

About the role
Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As an AI Engineer at Extend, you’ll design novel techniques, systems, and human ↔ AI interfaces for building LLM agents that operate on complex data streams.

We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about empowering organizations with AI.

IMPACT
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex problems you’ll be working on:

How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we deploy non-deterministic AI into mission-critical flows?
How do we help customers make tradeoffs between latency, cost, and performance?
ROLE
Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to
Monitor existing agents in production, understand what’s working well (and what isn’t), and run experiments to solve those issues
Implement the best human ↔ AI interfaces for designing data processing agents. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.
Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CEO, CTO, and other founding members and help build out our team.
About Extend
Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
TEAM
We're a small team of 5 that's fully in-person in NYC. Our backers include Homebrew, Innovation Endeavors, Character, and angels from OpenAI, Brex, Airbnb, Newfront, and more.

Fondant is on a mission to democratize creativity by building tools that make design and creation as intuitive and ergonomic as sculpting cake (hence the name Fondant).

We are particularly targeting 3D workflows, which require users to learn complex tools with high barriers of entry in terms of both cost and required skillset. Generative AI will enable new tools that simplify the learning curve for creating digital and physical art.

Fondant

Building out and deploying AI multimodal image, video and 3D pipelines at Fondant

Founding AI Engineer

 **Founding AI Engineer**

**You will be:**

- fine-tuning, optimizing, deploying models to production
- replicating SOTA papers in image/video/3D generation
- writing lots of code for model deployment in production systems
- working primarily in Python

**Required**

- you can write good code
- you can learn quick
- you can read, understand and implement dense math-y papers
- you are familiar with basic tools - github, editors (vi, emacs, vscode etc. - we don’t care as long you’re productive), working with remote instances
- familiar with pytorch/tensorflow or any other ML framework

**A plus but not required**

- a background in ML/AI
- a background/experience with diffusion models
- a background/experience with image/video/3D generation space
- familiar with CI/CD and orchestration/deployment tools (Kubernetes, Docker etc.)
- familiar with AWS/GCP/Azure

AI Engineer with 2-3 years experience, top performer, mission-driven. Work across AI stack: frontend, backend, LLM, ML. Familiar with React, TypeScript, NodeJS, Azure, SQL. Big Tech & Startup background. Pacific/Mountain/Central time zone. Remote. Visa sponsorship available. Salary: $160K-$240K.

Doctors are overworked, burnt out, and are quitting in masses.At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier.Our first product is an AI scribe that automates medical documentation. In 1 year we:<ul><li>Acquired 10,000 paying and loving clinicians and exceeded $11M ARR</li><li>Generated 70,000 patient notes daily and over 1 million monthly</li><li>Made thousands of clinicians happier</li></ul>With the backing of Sequoia, the best VC in the world, we are rapidly expanding our product offering. Patient facing assistant, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians and millions of patients.We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who take care of our health.Expect intense, clinician-focused, and interesting co-workers who want to win.

Freed

We're on the hunt for talented, high-caliber individuals who live on the bleeding edge of AI technology. As part of our team, you'll play a pivotal role in restoring joy to medicine while pushing the boundaries of what's possible with AI. Our engineering culture emphasizes speed, end-to-end ownership, responsibility, and independence, attracting top-tier talent and promoting exceptional performance.

Fullstack AI Engineer

Doctors are overworked, burnt out, and are quitting in masses.

At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier.

Our first product is an AI scribe that automates medical documentation. In 1 year we:

Acquired 10,000 paying and loving clinicians and exceeded $11M ARR

Generated 70,000 patient notes daily and over 1 million monthly

Made thousands of clinicians happier

With the backing of Sequoia, the best VC in the world, we are rapidly expanding our product offering. Patient facing assistant, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians and millions of patients.

We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who take care of our health.

Expect intense, clinician-focused, and interesting co-workers who want to win.

ABOUT THE ROLE
We're on the hunt for talented, high-caliber individuals who live on the bleeding edge of AI technology. As part of our team, you'll play a pivotal role in restoring joy to medicine while pushing the boundaries of what's possible with AI. Our engineering culture emphasizes speed, end-to-end ownership, responsibility, and independence, attracting top-tier talent and promoting exceptional performance.

HOW YOU’LL HAVE IMPACT
Full Stack: Take ownership of product features and drive implementation across the components of our software stack.

AI First: Adapt the latest AI models (language and speech) and techniques to our use case. You can contribute to any of: model training, fine-tuning, prompt engineering, and optimizing inference for latency and cost.

Empowered Teams: Collaborate with team members in a fully remote work environment (work hours are flexible but most of the team is on the west coast). Our teams are autonomous and cross-functional, including Product Management and UX Design.

Data-driven: Design experiments to validate product changes and ensure the highest quality of our software.

Clinician Obsessed: Have a passion for our mission and dedication to making a positive impact on the healthcare industry.

At Freed, we believe in empowering clinicians and transforming healthcare. Join our team of exceptional engineers and be a part of the solution. Together, we can create a brighter future for healthcare professionals and the patients they serve.

WHAT YOU’LL BRING
A history of consistent top performance and a desire for a mission-driven work culture.

5+ years of experience in full-time, post-graduation Software Engineering.

Prior experience with evaluations of ML or LLM-based product features, prompt engineering, agent-based approaches, and fine-tuning.

Familiarity with using AI for development (e.g. Copilot, ChatGPT, Cursor).

Desire to work across the stack on AI features, including frontend, backend, and interactions with LLM and ML models.

Location within Pacific, Mountain, or Central time zone.

Familiarity with our tech stack is preferred, including React, TypeScript, NodeJS, Azure and SQL.

WHAT WE WILL BRING
Competitive salary and equity in a high-growth company.

Opportunity to make an immediate impact.

Medical, dental, and vision benefits for US-based employees.

Unlimited PTO.

Company-sponsored annual retreats.

Remote (Pacific, Mountain, or Central Time Zones)

Wispr is building a more natural way to interact with technology with neural interfaces. We have an elite team of engineers, product designers, and research scientists building magic.  We've raised 19.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

Software Engineer

Wispr

As a part of Wispr's ML team, you will build foundation models that transform human-machine interaction.

Your role will include the research and development of core ML models, setting up the infrastructure to experiment, metrics to measure success, drive data curation, and more. You will be working closely with research scientists and Wispr's product team to test the models in real-world environments. Your work may touch upon unsupervised pre-training, semi-supervised learning, synthetic data generation, multi-modal feature extraction, and more.

Let's build magic.

Co-founder and CTO

ML Research Engineer, Foundation Models

We're hiring in SF Bay Area / Remote. We have flexible work arrangements to support you in working in the way that you work best.

Latent Studio makes the creation of professional quality product photos 10x cheaper & faster for e-commerce businesses and DTC brands through the use of text-to-image diffusion models, controlnets, LoRAs, upscalers, and other proprietary machine learning models. We’ve raised $3.4mm in funding from investors like Hack VC, Soma Capital, and Pioneer Fund.

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them!

Commercial photography is undergoing massive change. Using Latent Studio, any business can  conduct a professional photoshoot workflow from their computer, produce images that match the quality of those used by the biggest brands in the world, and scale their content creation process at virtually zero marginal cost.

Latent Studio (YC S20)

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them in this role!


Machine Learning Researcher

We are willing to sponsor visas if the candidate is truly exceptional

Working at the intersection of AI, cybersecurity, data, and national security.

Method Security

A full stack developer turned AI aficionado. When the tidal wave of Generative AI kicked off, they dove in and have spent the past year playing with fine-tuning, prompt-engineering, and agent modeling, even if only in free-time or as part of another role. They understand that we cannot prompt-engineer our way to becoming a sustainable and trusted product, and know how to place guard rails on the AI to make it useful.

AI Engineer

Top AI/ML talent being recruited through Paraform 

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Ashwin Sreenivas

The primary reason I like Paraform over other vendors is the quality of candidates. 100% of our professionally headhunted hires have been made through Paraform.

From AI Engineers to ML Researchers, the top AI companies are flocking to Paraform to hire the best talent in this competitive space. 

Make Paraform's network effect of AI talent your competitive advantage. Hire fast and hire the best. 

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