
High-Performance Machine Learning Engineer
2 weeks ago
We are seeking a highly skilled ML research software engineer to join our team. This is an exciting opportunity for you to build high-performance and scalable software addressing novel ML research algorithms.
As a key member of our team, you will work closely with researchers to design, develop, and implement software solutions that meet the needs of our clients.
The ideal candidate will have expertise in Python programming, including tensor operations, and experience with at least one ML framework such as PyTorch, TensorFlow, or JAX.
Additionally, you should have hands-on experience in establishing ML benchmarks, involvement in open-source projects, and excellent communication skills.
This role requires strong problem-solving skills, the ability to adapt to new challenges, and a passion for continuous learning.
You will be part of a small, dedicated team focused on advancing ML algorithms and techniques. If you are passionate about developing innovative software solutions and working collaboratively with experts in the field, we encourage you to apply.
Requirements- Bachelor's or Master's degree in Computer Science or related field (or equivalent experience)
- Expertise in Python programming and tensor operations
- Experience with at least one ML framework (PyTorch, TensorFlow, or JAX)
- Hands-on experience in establishing ML benchmarks
- Involved in open-source projects
- Excellent communication skills
- Strong problem-solving skills and ability to adapt to new challenges
- Experience with CUDA programming and/or High-Performance Computing
- Active development in open-source projects
- Excellent communication skills
- Past research experience
- C++ programming skills
- MLX experience
This role offers a unique opportunity to contribute to cutting-edge ML research and work collaboratively with experts in the field. You will have the chance to:
- Design, develop, and implement high-performance software solutions
- Work closely with researchers to advance ML algorithms and techniques
- Be part of a small, dedicated team focused on innovation and collaboration
As a valued member of our team, you will have access to:
- State-of-the-art infrastructure and resources
- Opportunities for professional growth and development
- A collaborative and supportive work environment
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