AI Summary
Work on unconventional and intellectually challenging machine learning problems in a flexible, remote environment. Contribute to cutting-edge AI solutions within a forward-thinking platform. Draft detailed natural-language plans and implement corresponding machine learning code.
Key Highlights
Work on diverse and non-standard ML problems
Flexible, remote, and asynchronous environment
Contribute to cutting-edge AI solutions
Autonomy over how and when you work
Technical Skills Required
Benefits & Perks
Salary: $80–$120 per hour
Remote work
Flexible, part-time setup
Job Description
This is a job that we are recruiting for on behalf of one of our customers.
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
Machine Learning Engineer
Salary: $80–$120 per hour
Company Description:
An innovative AI platform solving unconventional and challenging machine learning problems using cutting-edge approaches and modern ML tooling.
Job Description:
As a Machine Learning Engineer, you will work on diverse and non-standard ML problems in a flexible, remote, and asynchronous environment. This part-time role is structured around clearly defined outcomes rather than hours, giving you autonomy over how and when you work while contributing meaningfully to advanced AI systems.
Location: Remote
Why this role is remarkable:
- Work on unconventional and intellectually challenging machine learning problems
- Fully remote, asynchronous, part-time setup with clear structure and measurable outcomes
- Contribute to cutting-edge AI solutions within a forward-thinking platform
- Draft detailed natural-language plans and implement corresponding machine learning code
- Translate novel ML problems into agent-executable tasks for reinforcement learning environments
- Identify failure modes and apply targeted fixes to LLM-generated trajectories
- 0–2 years of experience as a Machine Learning Engineer, or a PhD in Computer Science with ML coursework
- Strong Python skills with experience using libraries such as TensorFlow, scikit-learn, and XGBoost
- Solid experience in data preparation, model training, and evaluation
To apply for this job speak to Jack, our AI recruiter.
Step 1. Visit our website
Step 2. Click 'Speak with Jack'.
Step 3. Login with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions
Step 5. If the hiring manager would like to meet you, Jack will make the introduction