Aledade, Inc.

With Primary Care. For Primary Care.

Senior Engineering Manager – AI/ML

Engineering ManagerEngineering ManagerFull TimeRemoteTeam 501-1,000Since 2014H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishDistributed SystemsDockerKubernetesMicroservicesPython

Job Description

• Lead a team of senior ML Engineers in the development of technology that saves lives and improves mental and physical health for millions of people. • Build a high performing team by hiring and nurturing engineering talent. • Strong technical leadership - drive technical solutioning and building roadmaps. • Set aggressive and clear goals and remove all roadblocks for the team to achieve them. • Work closely with engineering leaders to drive engineering excellence in our processes and systems. • Collaborate seamlessly with stakeholders across Aledade to achieve business outcomes.

Job Requirements

  • BS/BTech (or higher) in Computer Science, Engineering or a related field required.
  • 10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software.
  • 5+ years of managerial experience building and leading technical engineering teams.
  • You have experience in attracting, hiring, and coaching world-class engineers including performance management.
  • You have experience in taking ownership of the technology decisions, while delegating and empowering team members.
  • You have experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
  • You have strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.
  • 7+ years of experience in machine learning related technologies, with a strong preference for Python.
  • Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures.
  • Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles.
  • Familiarity with current AI/ML research trends and the ability to translate published advancements into practical healthcare applications.
  • Proven track record of mentoring and developing AI/ML talent within engineering teams.
  • Exception skills in working effectively with cross-functional teams, including product managers, designers, data scientists, and clinical staff.
  • Ability to leverage data-driven insights to inform engineering and research roadmaps, resource allocation, and strategic planning.
  • Ability to prioritize AI/ML platform features that meet business needs while maintaining security, scalability, and performance.
  • Understanding of the fast-paced, dynamic environment of a startup is highly valuable.

Benefits

  • Health insurance
  • Paid time off
  • Professional development

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