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    Director, Machine Learning - Cambridge, MA, United States - Money Fit by DRS

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    Description

    Our Mission

    Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

    You will manage a blended team of machine learning modelers, infrastructure experts, and data engineers. This team builds data and algorithm-driven platforms as well as ML-oriented features in existing platforms. The team also directly supports our focused Research Projects. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer/stakeholder empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into deployment and maintenance.


    What You will Do

    • Provide both highly technical leadership and effective people management to manage a team of engineers responsible for going from ideation to data acquisition to modeling to deployment and maintenance, serving our internal customers
    • Attract, recruit, hire, and develop a high-performing ML and Data Engineering team
    • Drive technical excellence, operational maturity, and code quality within your team
    • Drive and influence strategy, roadmap creation and execution for the ML and Data Engineering teams by working cross-functionally with stakeholders from other Engineering and Research Project teams
    • Provide strong leadership to the team, fostering a culture of collaboration, innovation, and continuous improvement
    • Collaborate with the other Engineering teams in Software, Hardware, Dev & MLOps and Test Operations to deliver on cross-functional features and capabilities
    • Get your hands dirty, and build things with us

    What You Will Need

    • Ph.D. or equivalent in Computer Science or related field AND 6 or more years full-time Software Engineering work experience; OR
    • 10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: computer vision, natural language processing, foundational model training, reinforcement learning
    • least 4 years experience in managing high-performing teams in Machine Learning and Data Engineering
    • Proven track record managing and scaling machine learning teams
    • Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders
    • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making


    Additional Qualifications

    • Experience managing machine learning teams at two or more companies
    • Experience training and deploying ML Models for robotics
    • Experience with robotics toolkits (ROS/ROS2)Experience with big data and orchestration systems in production: eg, Spark, Ray, Airflow DevOps experience (e.g. CI/CD Pipelines, Infrastructure as Code, Containers)

    We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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