Stack AV
Stack AV
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КонсалтингЛогистикаӨндіріс
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Staff Software Engineer, ML Training Infrastructure at Stack AV (Remote, Pennsylvania)

Lead the design of scalable machine learning training infrastructure and end-to-end model pipelines. Help advance Stack AV’s autonomous trucking systems through platform engineering, performance optimization, and cross-functional collaboration.

Сипаттама

  • Build and refine high-performance training platform components spanning orchestration, training abstractions, control-plane services, observability, and performance optimization.
  • Develop complete machine learning pipelines covering log processing, feature extraction, dataset schemas and storage, model configuration, training, profiling, and acceleration.
  • Evaluate training infrastructure to uncover and address performance constraints.
  • Promote system abstractions and developer tools that help machine learning engineers iterate quickly on models.
  • Adopt open-source technologies that let machine learning engineers independently profile and improve their workflows.
  • Uphold strong engineering standards and help foster a team culture centered on technical excellence.
  • Lead the architecture and implementation of a high-performance, multi-tenant AI training platform.
  • Partner with teams across ML Platform, Infrastructure, Autonomy, and Safety Evaluation.

Талаптар

  • Bachelor’s or master’s degree in computer science, engineering, or a related discipline.
  • At least six years of experience developing ML platforms and machine learning applications.
  • Advanced programming ability in Python, C++, or an equivalent language.
  • Experience with Lance, PyTorch, Ray Data, or comparable technologies.
  • Demonstrated success building scalable, dependable infrastructure in a fast-moving environment and partnering with machine learning engineers across modeling teams.
  • Strong grasp of system design tradeoffs, with the communication skills to build alignment among cross-functional teams.
  • Background in model training, model optimization, or large-scale data-processing pipelines.
  • Strong analytical reasoning and problem-solving ability.
  • Clear written and verbal communication skills, including the ability to explain complex technical ideas to nontechnical stakeholders.
  • May need to verify residence, U.S. person status, and/or citizenship to meet U.S. national security and export-control requirements.

Артықшылықтар

  • An equal-opportunity workplace focused on inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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