# Machine Learning Engineer at Coframe

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Acoframe%3Ae58e6bae-73bb-47e1-ba80-c0a3f51c048b (read 2026-11-11).

## Facts (observed)

- Company: [Coframe](https://alderhq.app/companies/coframe)
- Location text: SF Bay Area
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: SF Bay Area")
- Posted: 2026-11-10 (1 days ago)
- First seen by alder: 2026-11-10 · last verified: 2026-11-10
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/Coframe/e58e6bae-73bb-47e1-ba80-c0a3f51c048b
- Skills listed (inferred): Android, LLMs

## Pay and sponsorship

- Posted pay: $180k–$300k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 547): p25 $200k, median $248k, p75 $300k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Acoframe%3Ae58e6bae-73bb-47e1-ba80-c0a3f51c048b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
