המקום בו המומחים והחברות הטובות ביותר נפגשים
Key job responsibilities
As a senior ML engineer, you will* Lead the vision and architecture for AI-powered mobility solution across navigation stack involving mapping, path planning and data services
* Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production
* Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations
* Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 2+ years of experience building, scaling, and optimizing ML systems
- Prior experience working in collaboration with ML/scientists and taking concepts from ideation to production systems.
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- MS or PhD in Computer Science or equivalent experience in ML
- ML data management, creating training datasets, building and training machine learning infrastructure, model deployment, ML infrastructure monitoring and maintenance, familiarity with architectural choices for ML systems.
- Adept at handling ambiguous or undefined problems
משרות נוספות שיכולות לעניין אותך