Performance Engineer, Rust
Adaptive ML
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Tech Stack
About the role
- Build the foundational technology powering Adaptive ML, with a relentless focus on high-performance software engineering;
- Write production-grade Rust, combining correctness, performance, and robustness across large-scale distributed systems;
- Identify and resolve complex bugs at the intersection of software and hardware correctness in distributed environments;
- Contribute to the product roadmap by identifying promising trends and surfacing high-impact technical findings;
- Engage with research developments in generative AI and reinforcement learning to inform engineering decisions;
- Report clearly on your work to a distributed, collaborative team with a strong bias for asynchronous written communication;
- Partner with teammates across engineering, research, and product to deliver robust, scalable solutions.
Requirements
- A M.Sc. or Ph.D. in Computer Science, or equivalent demonstrated experience in software engineering, preferably with a focus on machine learning;
- Strong Rust skills, or a clear inclination to develop them — especially in distributed systems where performance is key;
- Contributions to relevant open-source projects, such as efficient model implementations or reinforcement learning libraries;
- Passionate about the future of generative AI, and eager to build foundational technology that helps machines deliver more singular experiences.
Benefits
- Comprehensive medical insurance covering health, dental, and vision;
- 401(k) plan with 4% matching (or equivalent);
- Unlimited PTO — we strongly encourage at least 5 weeks each year;
- Mental health, wellness, and personal development stipend.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Rustsoftware engineeringdistributed systemsbug resolutionhigh-performance softwaregenerative AIreinforcement learningopen-source contributionsmodel implementations
Soft Skills
communicationcollaborationproblem-solvingasynchronous communication
Certifications
M.Sc. in Computer SciencePh.D. in Computer Science