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Machine Learning Research Lead Jobs (NOW HIRING)

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

Machine Learning Research Engineer

New York, NY ยท On-site

$142K - $184K/yr

D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields. * Demonstrated experience working in cross-functional teams bridging ML research with ...

Machine Learning Research Engineer

New York, NY ยท On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Machine Learning Research Engineer

Cupertino, CA ยท On-site

$252K/yr

The Machine Learning Research Engineer will propose and conduct research to optimize performance on Sohu, collaborating with hardware architects to develop software solutions that leverage the unique ...

Machine Learning Research Engineer

New York, NY ยท On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

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Machine Learning Research Engineer

Manhattan, NY โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
The D.E. Shaw Group seeks a Machine Learning Research Engineer to apply their ML and software engineering expertise in designing and building computational architectures for knowledge discovery in financial data. The role involves leveraging cutting-edge ML research to create proof-of-concept implementations and improve the efficiency and scalability of the firm's ML efforts.
Responsibilities:
โ€ข Designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions
โ€ข Assembling these modules into end-to-end systems
โ€ข Interacting with researchers to achieve highly productive experimentation, model construction, and validation.
Qualifications:
Required:
โ€ข Bachelorโ€™s degree or higher is required.
โ€ข Proven track record of collaborating with researchers to translate ML ideas into high-performance solutions.
โ€ข Experience driving computational and architectural innovation by rapidly prototyping and demonstrating novel ML ideas within a high-performance environment.
โ€ข Interest in staying current with ML research and swift application of new techniques.
โ€ข Expertise in performance optimization, low-level engineering, GPU programming and libraries (e.g., Pytorch, JAX, CUDA, XLA, Triton, or PTX).
โ€ข Demonstrated ability to quickly solve complex computational problems, create inspiring technical demos, and transition work to broader teams.
โ€ข Proactive approach in driving agendas and anticipating engineering bottlenecks in large systems.
โ€ข Proficiency in modern ML frameworks, facility with deep learning tooling, and a solid understanding of hardware and architectural challenges.
Company:
The D. E. Shaw group is trusted by investors across the world to seek an optimal balance of risk and reward. Founded in 1988, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.