Machine Learning Engineer

Coframe; San Francisco (CA); On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

Unlimited PTO

Medical, Dental, Vision

Life Insurance

401k with Coframe match

All meals in-office

Gym membership

Job summary

Coframe is building a future where user and agent interfaces adapt and personalize themselves. As a Machine Learning Engineer in San Francisco, you will train foundation and customer-specific models, own their lifecycle, and deploy production-ready solutions that optimize user engagement and conversions.

You will work with a top-tier team to translate business metrics into modeling objectives, build robust ML infrastructure, and push the boundaries of real-time model serving in a fast-growing,

Qualifications

• Experience fine-tuning vision-language models (VLMs) or large language models (LLMs).
• Experience training ranking, click-through rate (CTR), conversion, or engagement models.
• Strong ML infrastructure experience, including training pipelines, data systems, and model serving.
• Ability to own models end to end, from research and experimentation to production deployment.
• Strong software engineering fundamentals and experience shipping reliable production systems.
• Ability to translate business metrics into modeling objectives and rigorous evaluations.
• Curiosity, pragmatism, and excitement about working on problems with no established playbook.
• A track record of exceptional achievement, whether in industry, research, or academics.
• Experience building agent loops, edge or low-latency model serving, and working with e-commerce, growth, or experimentation teams.

Responsibilities

• Build foundation models and customer-specific models for performance optimization.
• Fine-tune VLMs and LLMs to understand and improve digital experiences.
• Train ranking, CTR, conversion, and engagement models that guide what Coframe generates and ships.
• Own the full model lifecycle, from idea and research through training, evaluation, and deployment.
• Build and scale the ML infrastructure for training, serving, and monitoring models in production.
• Develop online and offline evaluation systems that tie model performance to real customer outcomes.
• Build feedback loops that let models continuously improve from real-world experiment results.
• Work with technical and non-technical teams to turn customer goals into models, metrics, and product improvements.

Skills

Vision-language fine-tuning

LLMs CTR/engagement models

ML infrastructure

End-to-end model ownership

Software engineering fundamentals

Metrics-driven modeling

Curiosity & pragmatism

Track record of achievement

Agent loops / low-latency serving

Job description

About Coframe:

At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are generating revenue, growing rapidly, and trusted by companies you definitely know.

Coframe is a primarily in-person company based in San Francisco, well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. Our team is small and talent-dense, consisting of competitive programmers, former founders (including our founder who previously co-founded a unicorn), and AI researchers from top institutions who have created some of the most popular open-source code generation projects.

About the role:

As a Machine Learning Engineer, you’ll build the models that power performance optimization at Coframe. You’ll train both foundation models and customer-specific models that predict and improve how users engage, click, and convert, and you’ll own each model’s lifecycle end to end: from initial idea, through research and training, to the infrastructure that deploys it.

You’re a great fit if you have:

• Experience fine-tuning vision-language models (VLMs) or large language models (LLMs)

• Experience training ranking, click-through rate (CTR), conversion, or engagement models

• Strong ML infrastructure experience, including training pipelines, data systems, and model serving

• The ability to own models end to end, from research and experimentation to production deployment

• Strong software engineering fundamentals and experience shipping reliable production systems

• The ability to translate business metrics into modeling objectives and rigorous evaluations

• Curiosity, pragmatism, and excitement about working on problems with no established playbook

• A track record of exceptional achievement, whether in industry, research, or academics

• Experience building agent loops, edge or low-latency model serving, and working with e-commerce, growth, or experimentation teams

What you’ll do:

• Build foundation models and customer-specific models for performance optimization

• Fine-tune VLMs and LLMs to understand and improve digital experiences

• Train ranking, CTR, conversion, and engagement models that guide what Coframe generates and ships

• Own the full model lifecycle, from idea and research through training, evaluation, and deployment

• Build and scale the ML infrastructure for training, serving, and monitoring models in production

• Develop online and offline evaluation systems that tie model performance to real customer outcomes

• Build feedback loops that let models continuously improve from real-world experiment results

• Work with technical and non-technical teams to turn customer goals into models, metrics, and product improvements

Benefits:

• Flexible (Unlimited) Paid Time Off

• Top-of-the-line Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• 401k Plan with Coframe match

• All meals fully covered in-office

• Gym membership

Why Coframe:

Elite Team: Our founder is a serial entrepreneur who previously co-founded a $2B+ unicorn with Tom Brady and guest lectures AI at Stanford. Our team includes researchers from top institutions who created some of the world's most popular open-source code generation projects.

OpenAI: We’re the only marketing technology company officially partnered with OpenAI. Our engineers and researchers work directly with their team to co-train a model specifically for our use case, which is a differentiator, and a testament to the technical caliber of our team.

Inbound Leads: We’re currently growing at 120% QoQ with a consistent flood of inbound demand. We’re looking for the right saleshumans to capture this demand and market opportunity.

Top VCs: We’re backed by tier-1 investors including Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (Android co-founder). Joining now means getting a seat on the rocket ship before our Series A: a once-in-a-lifetime opportunity to join in the early innings.

Already Crushing It: For our first product, we built proprietary generative AI technology that enables our Agents to autonomously design, code, debug, and deploy A/B tests, Landing Pages, and Personalization experiences. We effectively 10x testing velocity, replacing agencies, legacy tools, and the need to pull in-house designers and engineers for testing. In the last 6 months, we have already driven $221.4M in incremental revenue for our customers like Dropbox, Replit, and Intuit.

“You guys are insane." - OpenAI team

“Coframe makes you feel like you have a team of 100 people." - Replit team

Coframe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.