Senior Machine Learning Engineer Join our innovative team as a
Senior Machine Learning Engineer and play a pivotal role in transforming hardware engineering with cutting-edge models. We are on a mission to autonomously create advanced hardware designs that enhance efficiency and affordability in the industry.
About Us We are revolutionizing hardware design, led by experts from prestigious institutions and backed by notable investors. Our dedicated team is focused on streamlining the hardware design process by leveraging knowledge from the fields of AI and semiconductors.
About the Role As a
Senior Machine Learning Engineer, you will be instrumental in developing and assessing extensive systems featuring interconnected LLMs, NLP models, and retrieval algorithms. You'll be responsible for structuring data for training complex models, optimizing both open-source and closed-source models while meeting various constraints, and designing innovative search and retrieval algorithms. Your role will also involve implementing and evaluating models while tackling intricate engineering challenges related to latency and expensive model inference.
What We Offer - Opportunity to lead advancements in hardware engineering through the integration of AI.
- A collaborative environment focused on innovation and state-of-the-art technology.
- Competitive salary accompanied by a comprehensive benefits package.
- Flexible working hours with potential remote work options.
- Professional development opportunities with ongoing support for continuous learning.
- A chance to be at the forefront of a rapidly growing sector that bridges AI and semiconductor industries.
Key Responsibilities - Develop and evaluate comprehensive systems that encompass interconnected LLMs, NLP models, and retrieval algorithms .
- Properly structure data for training complex models.
- Build and optimize both open-source and closed-source models while considering various constraints.
- Design and implement innovative search and retrieval algorithms.
- Conduct and oversee comprehensive model evaluations.
- Address significant engineering challenges such as latency and high model inference costs.
Ideal Candidate Profile The perfect candidate will possess a strong understanding of NLP and LLMs , coupled with strong proficiency in PyTorch . A proven track record of outstanding data engineering and AI skills is essential, including publications in top AI conferences and participation in competitions . Experience in leading AI firms and research labs, along with implementing research papers into production-quality code , is highly valued. Additionally, passion for solving complex challenges and a commitment to innovation are crucial.
Requirements - Deep understanding of NLP and LLMs.
- Proficiency in PyTorch.
- Demonstrated expertise in data engineering and AI.
- Publications in reputable AI conferences and competitions.
- Experience at leading AI companies and research institutions.
- Contemporary implementation of research papers in production.
- Exposure to complex ML domains.
- Genuine enthusiasm for solving intricate problems and innovating.
Bonus Qualifications - Experience with code generation models.
- Knowledge in reinforcement learning.
- Drive to tackle 0 to 1 challenges and to excel in the field.
This role represents an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while collaborating within a dynamic team. If you are passionate about machine learning and eager to make a meaningful impact, we encourage you to apply and help us reshape the future of hardware design.