$150,000–$350,000
Applied Research Engineer
Posted by Applied Compute · open on Ashby as of
$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
Median $190K
This job$200K–$320KSenior FDE postings1,849 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
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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
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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