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Engineering Manager, Machine Learning (Remote - US)

Engineering Manager, Machine Learning (Remote - US)

JobgetherUS
6 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Machine Learning in the United States.

This role offers the opportunity to lead a high-impact data science team focused on building and deploying advanced machine learning models, including NLP and LLM-based solutions, that directly improve the efficiency of clinical trials. You will guide technical strategy, mentor data scientists, and collaborate with cross-functional teams to integrate ML models into production systems. The position allows for hands-on contribution while shaping the long-term vision for machine learning initiatives, delivering measurable impact on patient outcomes and accelerating access to life-saving therapies. This is an environment that combines mission-driven work with cutting-edge ML technology in a fast-paced, dynamic setting.

Accountabilities :

  • Lead, mentor, and manage a team of data scientists to design, develop, and deploy ML models at scale.
  • Oversee model development, including GenAI / LLM-based algorithms, for clinical trial execution and patient recruitment.
  • Collaborate with cross-functional teams (clinicians, engineers, informaticists, and stakeholders) to align data initiatives with business objectives.
  • Define model specifications, gather requirements, and supervise dataset generation for training and validation.
  • Guide integration of ML models into production infrastructure, ensuring reliability, scalability, and maintainability.
  • Drive innovation in data science practices and establish long-term technical vision and standards for the team.
  • Communicate technical and business value of ML initiatives to both technical and non-technical audiences.

Requirements

  • PhD or Master’s in Data Science, Statistics, Computer Science, or a related field.
  • 7+ years of experience in data science, preferably in healthcare or related industries.
  • 2+ years of leadership experience managing ML or data science teams.
  • Strong expertise in machine learning, including model training, evaluation, and deployment.
  • Hands-on experience with Python and knowledge of ML algorithms and statistical methods.
  • Experience managing production-level ML infrastructure, including pipelines, deployment, and monitoring.
  • Excellent problem-solving, strategic thinking, and communication skills.
  • Comfortable working in a fast-paced, high-ambiguity startup environment.
  • Bonus : Experience with oncology or clinical trial data, GenAI / LLM model development, and early-stage startup environments.
  • Benefits

  • Competitive base salary : $200,000 – $230,000 USD per year.
  • Comprehensive health, dental, and vision insurance.
  • Mental health support for you and your family.
  • Equity package and 401(k) plan with company match.
  • Unlimited paid time off and 16 weeks of paid parental leave.
  • Flexible work arrangements, including remote and hybrid options.
  • Company-paid life insurance, short-term and long-term disability coverage.
  • One Medical membership for healthcare support.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile undergoes an AI-powered screening designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the role’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, the three candidates with the highest match are automatically shortlisted.

    🧠 When needed, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are determined by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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