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Applied Research Engineer

$200,000–$320,000 + equitySan Francisco, CAOn-siteFull-time

Own enterprise customer engagements from understanding their data and workflows through deploying agents, while feeding customer learnings back into the platform.

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At a glance

Posted base pay

$200K–$320KAbove the median

Midpoint $260K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Visa

  • Sponsors visas

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Conditions

Location
San Francisco, CA
Work arrangement
On-site
Employment type
Full-time
Visa sponsorship
Available
Pay
Pay details

The U.S. base salary range for this full-time position is $200,000–$320,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

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The job description from Applied Compute

Posted by Applied Compute on

The role

As an applied research engineer, you’ll own customer engagements end-to-end: understanding their data, their workflows, and their problems, then building and deploying agents that deliver real value. For our largest customers, you'll train custom models tailored to their specific needs. For others, you'll take what you learn and bring it back to improve our general agents.

What you'll do

  • Train and post-train models for enterprises, from environment design through deployment
  • Own engagements end-to-end, working directly with technical and business stakeholders
  • Navigate new customer architectures, data systems, and requirements quickly
  • Surface learnings from customers and contribute them back to our platform
  • Collaborate across research, product, and infrastructure to define architectures, evaluation frameworks, and best practices

What we're looking for

  • Meaningful AI research experience, either in industry or academic work
  • Comfort diving into unfamiliar codebases and training models on real-world, messy data
  • Strong problem-solving skills, especially in ambiguous, fast-changing environments
  • Ability to work directly with customers: listening, empathizing, and understanding how their organizations operate
  • Desire to own problems end-to-end and deliver outcomes

Strong candidates also have

  • Experience training or fine-tuning language models in production settings
  • Background building RL environments, evaluation frameworks, or agent systems
  • Previous experience as a founder or early engineer at a zero-to-one company
  • Technical creativity through side projects, open source contributions, or published work
  • Experience at companies with forward-deployed or customer-facing engineering cultures

The U.S. base salary range for this full-time position is $200,000–$320,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

Benefits & Logistics

This role is based in San Francisco. We work from our office in the Mission. We offer:

  • Competitive compensation and equity
  • 100% employer-paid health insurance coverage for you and your family
  • Unlimited PTO
  • Paid parental leave
  • Daily lunches and dinners
  • Transportation and relocation support
  • 5% 401(k) match

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

View posting at Applied Compute

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About Applied Compute

Builds 'specific intelligence' AI agents trained from scratch on each enterprise customer's own data, sold to companies like DoorDash, Mercor, and Cognition.

Series A · 10–50 people

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