At a Glance
- Tasks: Drive AI research and enhance model performance while working remotely.
- Company: Mercor connects top talent with leading AI research labs.
- Benefits: Earn up to $150/hr, set your own hours, and get paid weekly.
- Other info: Remote work with potential for extension and excellent career growth.
- Why this job: Make a real impact in AI while enjoying flexibility and independence.
- Qualifications: 5+ years in machine learning or a PhD; strong Python skills required.
Overview
Senior Machine Learning Engineer | Upto $150/hr Remote
Mercor connects elite creative and technical talent with leading AI research labs. Base pay range: $150.00/hr - $150.00/hr. This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Role details
- Position: Machine Learning Engineer – Independent Contractor, Remote
- Commitment: 20 hours per week, Duration: 2+ months with possible extension.
- Remote and asynchronous — set your own hours.
- Structured as an independent contractor engagement.
- Pay: Up to $150/hour depending on region and experience.
- Paid weekly via Stripe Connect.
Responsibilities
- Drive AI research by benchmarking and enhancing model performance and training speed across machine learning tasks.
- Compile external ML competitions into challenging tasks reflecting real-world responsibilities like training models, prepping datasets, and running experiments.
- Draft detailed, executable natural language plans for completing MLE tasks.
- Implement plans in Python code within a provided Docker environment.
- Validate implementations against original plans and mark discrepancies.
Requirements / Qualifications
- 5+ years of experience in applied machine learning OR PhD in machine learning or adjacent fields.
- Strong Python engineering skills, especially for model training and data handling.
- Familiarity with Docker-based development environments.
- Detail-oriented approach to technical planning and code validation.
Preferred Qualifications
- Experience with reproducibility and benchmarking in ML research.
- Comfortable working independently under strict compliance constraints.
Engagement Details
- Remote and asynchronous — set your own hours.
- Up to $150/hour depending on region and experience.
- Paid weekly via Stripe Connect.
- Structured as an independent contractor engagement.
Application Process
- Submit your resume.
- Complete an AI interview (<10>
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Engineering, Research, and Information Technology
- Industries: Software Development
Senior Machine Learning Engineer | Upto $150/hr Remote employer: Mercor
At Mercor, we pride ourselves on being an exceptional employer that champions flexibility and independence for our Senior Machine Learning Engineers. With the ability to set your own hours and work remotely, you can achieve a perfect work-life balance while engaging in cutting-edge AI research. Our culture fosters creativity and technical excellence, providing ample opportunities for professional growth and collaboration with elite talent in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer | Upto $150/hr Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend virtual meetups or webinars to meet potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your best work in machine learning. Include links to GitHub repositories or any competitions you've participated in. This will give recruiters a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on common machine learning concepts and be ready to discuss your past experiences. Practise coding challenges in Python to ensure you're sharp and ready to impress.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, you’ll get updates directly from us about your application status. Don’t miss out on your dream job!
We think you need these skills to ace Senior Machine Learning Engineer | Upto $150/hr Remote
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume highlights your experience in applied machine learning and Python engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing your passion for AI research and how you can drive model performance improvements.
Showcase Your Technical Skills:Since this role involves implementing plans in Python and working within Docker environments, make sure to mention any specific projects or experiences that demonstrate your proficiency. We’re keen on detail-oriented candidates!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Mercor
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss your past projects in detail, especially those that involved model training and data handling. This will show that you’re not just familiar with the theory but have practical experience too.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of Docker environments and benchmarking in ML research. Practise coding challenges in Python and be prepared to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
✨Showcase Your Independence
Since this role is remote and structured as an independent contractor engagement, highlight your ability to work autonomously. Share examples of how you've successfully managed projects independently, met deadlines, and maintained compliance with strict guidelines.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or their approach to AI research. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
