Applied Research Engineer
Applied Compute11 months ago
Responsibilities
- Own customer engagements end-to-end, from understanding data, workflows, and problems to building and deploying agents.
- Train and post-train enterprise models from environment design through deployment.
- Navigate unfamiliar customer architectures, data systems, and requirements.
- Surface customer learnings and contribute them to the general agent platform.
- Collaborate with research, product, and infrastructure teams on architectures, evaluation frameworks, and best practices.
- Work directly with technical and business stakeholders to deliver production outcomes.
Requirements
- Meaningful AI research experience in industry or academia.
- Ability to work in unfamiliar codebases and train models on real-world, messy data.
- Strong problem-solving skills in ambiguous and fast-changing environments.
- Ability to work directly with technical and business stakeholders and understand customer organizations.
- Desire to own problems end-to-end and deliver outcomes.
- Experience training or fine-tuning language models in production is a strong plus.
- Experience building reinforcement learning environments, evaluation frameworks, or agent systems is a strong plus.
- Previous experience as a founder or early engineer at a zero-to-one company is a strong plus.
- Technical creativity demonstrated through side projects, open-source contributions, or published work is a strong plus.
- Experience in forward-deployed or customer-facing engineering cultures is a strong plus.
Benefits
- The role is based in San Francisco and works from the company’s Mission office.
- Competitive compensation and equity are offered.
- Generous health benefits are provided.
- Unlimited paid time off is offered.
- Paid parental leave is provided.
- Daily lunches and dinners are provided.
- Transportation and relocation support are offered.
- Retirement plans are available.
- Visa sponsorship is provided.
Categories
AI ResearchForward Deployed
About Applied Compute
Applied Compute builds enterprise AI systems that turn internal knowledge into custom models and deployable agent workforces. Its platform and forward-deployed teams create evals, train models on proprietary data, and run continually learning agents inside customer environments. The company is privately held and headquartered in San Francisco, serving enterprises that want in-house, domain-specific AI rather than generic foundation models.