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- Tasks: Design and implement decentralised ML training pipelines and develop innovative algorithms.
- Company: Join Gensyn, a cutting-edge tech company focused on machine learning.
- Benefits: Competitive salary, equity options, remote work, and comprehensive health insurance.
- Why this job: Make an impact in ML research while enjoying high autonomy and flexibility.
- Qualifications: Strong background in applied machine learning and problem-solving skills required.
- Other info: Fully remote with opportunities for career growth and company retreats.
The predicted salary is between 36000 - 60000 £ per year.
Overview
ML Research Engineer role at Gensyn.
The Role
- Design and implement highly decentralised training pipelines. Scope can range from proof of concept development for novel ML research—e.g., our RL-Swarm reinforcement learning framework or Verde verification system—to the maintenance of highly fault-tolerant production systems.
Responsibilities
- Build scalable, distributed ML compute systems over uniquely decentralised and heterogeneous infrastructure.
- Design and develop novel machine learning algorithms, deep learning applications, and systems for Gensyn; likely from scratch or by augmenting existing systems.
- Partner with researchers and production engineers to design and run novel experiments, taking research from theory to production.
Must have
- Strong background in applied machine learning/engineering.
- Comfortable working in an experimental environment, with extremely high autonomy and unpredictable timelines.
- Proven background in training, retraining, inference or ML systems.
- Impeccable analytical and problem-solving skills.
- Familiarity with data structures and software architecture.
Preferred
- Experience building highly performant, distributed systems.
- Demonstrated background developing or implementing novel ML research.
- Experience developing mission-critical, highly complex production systems, particularly to improve fault tolerance and crash recovery.
Nice to have
- Experience working in a startup/scaleup environment.
- Competitive salary plus share of equity and token pool.
- Fully remote work; we currently hire between the West Coast (PT) and Central Europe (CET) time zones.
- Visa sponsorship available for relocation to the US after being hired.
- Company retreats and equipment provision.
- Paid sick leave and flexible vacation.
- Company-sponsored health, vision, and dental insurance, including spouse/dependents.
- Culture: ownership, clarity, and anti-fragility; avoid excessive meetings and misalignment.
- Encourage proactive communication and stay small as a team to maintain focus.
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ML Research Engineer employer: Gensyn
Contact Detail:
Gensyn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with Gensyn employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to decentralised systems or novel ML algorithms. This is your chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for the unexpected! Since Gensyn values autonomy and experimentation, be ready to discuss how you've tackled unpredictable challenges in your past roles. Share specific examples that highlight your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace ML Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the ML Research Engineer role. Highlight your experience with machine learning algorithms and any projects that showcase your skills in building scalable systems. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about ML research and how your background aligns with our needs. Be sure to mention any relevant experience in decentralised systems or fault tolerance, as these are key for us.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. Whether it's a proof of concept or a fully-fledged system, we love seeing real-world applications of your skills. Don’t forget to link to your GitHub or portfolio if you have one!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team at Gensyn!
How to prepare for a job interview at Gensyn
✨Know Your ML Stuff
Make sure you brush up on your applied machine learning knowledge. Be ready to discuss algorithms, deep learning applications, and any novel research you've been involved in. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to designing and implementing ML systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about times when you had to work with distributed systems or improve fault tolerance. This will demonstrate your analytical skills and ability to thrive in an experimental environment.
✨Familiarise Yourself with Their Culture
Gensyn values ownership, clarity, and anti-fragility. Before the interview, get a good grasp of what these terms mean in the context of their work culture. Be ready to discuss how you align with these values and how you can contribute to maintaining a small, focused team.
✨Ask Insightful Questions
Prepare some thoughtful questions about their decentralised training pipelines and the specific challenges they face. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it’s a great way to demonstrate your proactive communication skills!