Job Description
Job Description
About the job
were building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If youre an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, wed love to meet you.
What to Expect
As a Machine Learning Engineer, youll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes.
- Schedule : Remote and asynchronousset your own hours
- Commitment : ~20 hours / week
- Duration : Through December 22nd, with potential extension into 2026
What Youll Do
Draft detailed natural-language plans and code implementations for machine learning tasksConvert novel machine learning problems into agent-executable tasks for reinforcement learning environmentsIdentify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasksWhat Youll Bring
Experience : 02 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required)Required Skills : Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc.Bonus : Contributor to ML benchmarksLocation : MUST be based in the United StatesCompensation Terms
Rate : $80-$120 / hr, depending on region and experiencePayments : Weekly via Stripe ConnectEngagement : Independent contractorHow to Apply
Submit your resumeComplete the System Design Session ( 30 minutes)Fill out the Machine Learning Engineer Screen (5 minutes)