Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Research Engineer, Post-Training role.
Rezi rewrites your resume against Cognition's job description. Free.
Tailor your resume to this Research Engineer, Post-Training role.
Rezi rewrites your resume against Cognition's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Engineer, Post-Training posting at Cognition — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Research Engineer, Post-Training posting at Cognition — free, in seconds.
About the Role
We are an applied AI lab building end-to-end software agents, including Devin, the first AI software engineer. This role focuses on post-training, the critical bridge between raw model capability and real-world usefulness, safety, and effectiveness. You will shape agent learning by iterating on training recipes, evaluations, and alignment methods, blending deep research with hands-on engineering.
Responsibilities
- Iterate on the full stack of datasets, training stages, and hyperparameters that determine model behavior.
- Measure how choices compound across evals and production performance, not just isolated benchmarks.
- Build evaluations that capture what matters, iterating through definition, optimization, gap identification, and rebuilding.
- Dig deep to understand why training produces unexpected results, carrying that understanding forward.
- Apply and advance techniques like RLHF, RLAIF, and constitutional approaches to shape agent reasoning, action, and collaboration.
- Measure performance scaling with data and compute.
- Develop new methodologies when existing ones hit ceilings, demonstrating rigor and invention.
Requirements
- A track record of advancing ML systems through post-training, alignment, or related methods (RLHF, RLAIF, preference modeling, reward learning, or equivalent).
- Strong fundamentals in probability, statistics, and ML theory.
- Ability to distinguish real effects from noise and bugs in experimental data.
- Evidence of original contributions (publications at top venues, open-source impact, or equivalent industry results).
- Experience with large-scale distributed training and associated debugging.
- Systems-level thinking, understanding the interaction of training pipelines, data, and evaluation.
- Comfort with ambiguity and fast-moving research environments with shifting priorities.
- Demonstrated capability is valued over credentials; a PhD is one signal among many.
Skills
- Post-training
- Alignment
- RLHF
- RLAIF
- Preference modeling
- Reward learning
- Probability
- Statistics
- ML theory
- Large-scale distributed training
- Systems-level thinking
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
Education Level
- PhD preferred but not required
Benefits
- Compute is not a constraint: large allocations with training jobs routinely running across thousands of GPUs from day one.
- Minimal process overhead.
- Everything needed to operate at frontier scale from day one.
About the Company
- We are an applied AI lab building end-to-end software agents.
- We're the makers of Devin, the first AI software engineer.
- Our team is extremely talent-dense, with founding members from world-class competitive programming, former founders, and leaders from AI companies like Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
- Building Devin is just the first step; our hardest challenges lie ahead.
- We are solving some of the world's biggest problems and building AI that can reason on real-world tasks.
- We are a small, highly selective team where research and product move together.
- Prototypes reach real deployment quickly.
- The environment rewards speed, autonomy, and technical depth.
Equal Opportunity
- Cognition is an equal opportunity employer.
- We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
- We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process.