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Reddit Backed by a16zBacked by Sequoia
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Senior Machine Learning Engineer, Ads ML Efficiency

NewBe an early applicant RemoteNorth AmericaContractSenior Licensed UK sponsor — This employer appears on the GOV.UK register of licensed sponsors for the Skilled Worker and related work routes. The licence belongs to the employer and is not a commitment to sponsor this role.Licensed NL sponsor — This employer appears on the IND public register of recognised sponsors for work and highly skilled migrants. The recognition belongs to the employer and is not a commitment to sponsor this role.H-1B sponsor history — This employer has had H-1B petitions approved by USCIS in the last five fiscal years, per the USCIS H-1B Employer Data Hub. The approval belongs to the employer and is not a commitment to sponsor this role.Canada LMIA employer — This employer was issued a positive Labour Market Impact Assessment by Employment and Social Development Canada in the last four quarters, through the High Wage, Global Talent or Permanent Resident streams. The approval belongs to the employer and is not a commitment to sponsor this role.
United States

Senior ML engineer on Reddit's Ads ML Efficiency team, optimizing production ML workloads for speed, scalability, and cost — profiling bottlenecks across model execution, runtimes, GPU/memory, and infrastructure, then shipping improvements to inference and training. Core stack: Python, PyTorch, and GPU/inference tooling like CUDA and Triton.

AI CUDA Distributed Training GPU Machine Learning +8 skills
217K – 303K $
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