NewSr. System Engineer General MotorsSr. System EngineerWarren, MIExperience working with multi-tier production software systems utilizing HTTP APIs (REST and/or GraphQL) and backend datastores (PostgreSQL and/or DynamoDB, Redis). The CAE, CAT, Battery, Materials & Validation team delivers next-generation IT software solutions that support Vehicle Test Lab operations, physical validations, and proving ground activities.
Staff ML Engineer, ML Compute Platform General MotorsStaff ML Engineer, ML Compute PlatformWarren, MI$195,000–$298,000 / yearThis means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week, at minimum or other frequency dictated by the business. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.
Data Scientist II (Remote) MaximusData Scientist II (Remote)Detroit, MIRemoteFull timeMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. -Strong technical and analytical capabilities in data visualization tools such as Power BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development.
Data Scientist (Remote) MaximusData Scientist (Remote)Detroit, MIRemoteFull timeMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).