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Senior Engineer, ML Data Services

Job not on LinkedIn

đź•’ July 6

🎰 Nevada, Massachusetts, +1 more states – Remote

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đź’µ $149k - $198.5k / year

⏰ Full Time

đźź  Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 12%

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Logo of Motional

Motional

1001 - 5000 employees

Founded 2020

đź’Ľ Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

đź“‹ Description

• Design and implement RESTful APIs and microservices for data labeling and annotations • Architect, build, and maintain scalable data-processing pipelines using cloud ETL technology • Deliver datasets for Autonomy teams, ML training, simulation, and evaluation • Own highly available critical backend services and APIs storing and exposing terabytes of data • Work with leadership and stakeholders to define objectives, align timelines, agree on deliverables, and build execution plans • Design and develop monitoring and observability services for MLOps data-service pipelines • Mentor and teach junior engineers through pairing sessions to improve SDLC skills and code quality

🎯 Requirements

• 5+ years of software development experience; Python preferred, with relevant experience in Java or Go • 5+ years of web backend development experience with REST APIs and microservices • 3+ years of AWS cloud experience, including technologies such as DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, and S3 • 3+ years of data engineering experience with AWS Step Functions, Airflow, or Prefect • Strong written and oral communication skills • Experience working in cross-functional development teams, including quarterly roadmap design • Hands-on experience using modern AI coding tools such as Cursor, Claude Code, or GitHub Copilot • Ability to mentor junior engineers • BS or MS in Computer Science or a related field • Work authorization and employment eligibility verification through E-Verify

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Potential bonus compensation • Potential company equity • Inclusive and diverse workplace culture

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