Research Scientist, Agents

Augment Code; Palo Alto (CA); On-site; USD 300,000 - 365,000; Full time

Job summary

An innovative firm is seeking a Research Scientist to enhance coding agents through cutting-edge reinforcement learning techniques. This role involves designing large-scale experiments and collaborating with a talented team to drive impactful research. The ideal candidate will possess a strong background in large language models and reinforcement learning, along with excellent programming and problem-solving skills. Join a dynamic environment that values trust and ownership, offering flexible work hours and a competitive salary package. If you're passionate about advancing software engineering, this opportunity is perfect for you.

Benefits

Flexible work hours

Competitive salary & Equity

Tools Stipend

Health, Dental, Vision and Life Insurance

Short Term and Long Term Disability

Unlimited Paid Time Off + Holidays

Numerous company social events

Qualifications

• 2+ years of experience in reinforcement learning and language models.
• Strong programming and problem-solving skills are essential.

Responsibilities

• Conduct research to develop models for improving coding agents.
• Design and implement large-scale RL experiments.

Skills

Reinforcement Learning Algorithms

Programming Skills

Problem-Solving Skills

Education

PhD in Computer Science or related field

Tools

Large Language Models

Job description

The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase.

About the role

The Research Scientist will be responsible for designing and implementing large-scale RL experiments for improving code agents. The ideal candidate will have extensive experience in post-training state-of-the art large language models and has a track record of driving projects from start to finish.

Key Responsibilities:

• Conduct research and develop models to improve coding agents
• Design and implement large-scale RL experiments
• Collaborate with and lead other researchers and engineers to identify research questions and prioritize projects.
• Mentor more junior researchers and research residents.
• Stay up-to-date with the latest developments in reinforcement learning and software engineering research.

Qualifications:

• 2+ years of hands-on experience developing and scaling large-scale reinforcement learning algorithms for post-training language models.
• Core IC and leadership contributions to projects delivering strong language models.
• Strong programming skills.
• Excellent problem-solving skills and ability to work independently and in a team.

While not required, it’s an added plus if you also have:

• Experience in post-training for software engineering
• PhD in Computer Science or a related field
• Strong publication record in top-tier conferences and journals

Employee Benefits:

• Flexible work hours
• Competitive salary & Equity
• Tools Stipend
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
• Numerous company social events

Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Pay Transparency Notice: The actual salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations.

Pay Range: $300,000 USD - $365,000 USD

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

Software Development