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
5 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
