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Machine Learning Research Lead Jobs (NOW HIRING)

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252K/yr

The Machine Learning Research Engineer will propose and conduct novel research to achieve results on Sohu, translating core mathematical operations into performant instruction sequences and ...

Apple

Machine Learning Research Engineer

Cupertino, CA · On-site

$150K - $277K/yr

... research practical ML algorithms and build with us the next generation of video technology. We are ... frontier of machine learning - including computer vision, image and video generation ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$125 - $150/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

Profluent

Machine Learning Research Engineer

Emeryville, CA · On-site +1

$237K/yr

We're looking for an experienced Machine Learning Engineer to build and improve the models and ML ... Partner with ML and protein design scientists to prototype research ideas and bring them into ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research. Minimum Qualifications: • Master's degree ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$150 - $200/hr

Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning ...

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Machine Learning Research Engineer

Cupertino, CA • On-site

Etched
See more jobs at Etchedexternal

$252K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Etched is building AI chips that are hard-coded for individual model architectures. The Machine Learning Research Engineer will propose and conduct novel research to achieve results on Sohu, translating core mathematical operations into performant instruction sequences and collaborating with hardware architects to optimize software performance.
Responsibilities:
• Propose and conduct novel research to achieve results on Sohu that are unviable on GPUs
• Translate core mathematical operations from the most popular Transformer-based models into maximally performant instruction sequences for Sohu
• Develop deep architectural knowledge informing best-in-the-world software performance on Sohu HW, collaborating with HW architects and designers.
• Co-design and finetune emerging model architectures for highest efficiency on Sohu
• Guide and contribute to the Sohu software stack, performance characterization tools, and runtime abstractions by implementing frontier models using Python and Rust.
• Propose and implement a novel test time compute algorithm that leverages Sohu’s unique capabilities to unlock a product could never be achieved on a typical GPU
• Implement diffusion models on Sohu to achieve GPU-impossible latencies that allow for real-time image generation
• Optimize model instructions and scheduling algorithms to optimize for utilization, latency, throughput, and/or a mix of these metrics.
• Implement model-specific inference-time acceleration techniques such as speculative decoding, tree search, KV cache sharing, priority scheduling, etc by interacting with the rest of the inference serving stack.
Qualifications:
Required:
• An ML Research background with interests in HW co-design
• Experience with Python, Pytorch, and / or JAX
• Familiarity with transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.) and/or experience working in distributed inference/training environments
• Experience working cross-functionally in diverse software and hardware organizations
Preferred:
• ML Systems Research and HW Co-design backgrounds
• Published inference-time compute research and/or efficient ML research
• Experience with Rust
• Familiarity with GPU kernels, the CUDA compilation stack and related tools, or other hardware accelerators
Company:
Etched is an AI chip startup that designs and manufactures hardware systems optimized for artificial intelligence model inference workloads. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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