5-8 years of experience in machine learning and engineering roles
Expertise in the entire lifecycle of production machine learning models
Proven ability to develop data-driven hypotheses from product insights
Experience managing complex projects with cross-functional teams
Strong mentoring skills for interns and junior team members
Advanced degree (Masters) or relevant equivalent experience (B.S. with 8+ years)
Deep knowledge of a machine learning framework (e.g., TensorFlow, PyTorch)
Responsibilities
Build, deploy, and enhance machine learning models for product functionalities
Design and analyze offline and online experiments for ML features
Collaborate with ML Infrastructure team to improve technical platforms
Mentor and guide interns and team members in machine learning
Recruit diverse talent to strengthen the ML engineering team
Benefits
Access to professional development opportunities
Collaborative work environment fostering innovation
Flexible work hours and supportive work-life balance
Health and wellness programs
Opportunity to work on impactful, real-world machine learning projects
Full Job Description
In this role you will:
Build, deploy, and improve robust machine learning models for product features.
Design both offline and online experiments to test ML product features, and perform data-driven analysis on the results to find actionable insights.
Provide input and collaborate closely with the ML Infrastructure team towards the development of technical platforms that power ML systems and engineering infrastructure and operations.
Mentor ML engineering interns and team members.
Source and interview diverse talent to build and grow a strong ML engineering team.
An ideal candidate has:
Experience building production machine learning models and systems: Expertise with the full lifecycle of machine learning algorithms in production, including research, deployment, improvements, and maintenance.
Ability to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions.
Experience leading cross-functional teams on strategic machine learning product initiatives from conception to successful product outcomes.
Demonstrated ability to collaborate with a diverse set of stakeholders such as researchers, business leaders, domain experts (such as doctors), and product managers to solve complex cross-disciplinary problems.
Masters with at least 6 years of relevant experience, or BS with at least 8 years of relevant experience.
In-depth experience with at least one machine learning framework (such as TensorFlow, PyTorch, etc.)
