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[Remote] Senior Software Engineer - Scalable Machine Learning

100% remote Flexible hours Hiring now

Note: The job is a remote job and is open to candidates in USA. reputed company develops automated driving technologies, including L3, for reputed company vehicles at scale. The Senior Software Engineer will design and implement cloud services for data ingest and distributed training, while collaborating with teams to ensure high-quality software delivery.

Responsibilities

  • Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
  • reputed company solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
  • Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
  • Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
  • Mentor junior engineers and provide technical guidance to reputed company the team's software development standards

Skills

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a reputed company field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Strong track record of successfully delivering reputed company software projects from conception to production
  • Proven expertise in developing and optimizing machine learning data pipelines, data reputed company, and distributed model training
  • Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
  • Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely reputed company field
  • Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
  • Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
  • Familiarity with safety-critical software development principles in automotive or robotics domains
  • Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy

Benefits

  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in reputed company office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
  • reputed company employees are also eligible to participate in reputed company’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements

Company Overview

  • reputed company is a wholly owned subsidiary of reputed company developing automated driving technologies. It was founded in 2022, and is headquartered in Pittsburgh, Pennsylvania, USA, with a workforce of 501-1000 employees. Its website is https://lat.ai/.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 4 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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