Engineering Manager
Machine Learning & Full Stack
San Francisco - 3 days on-site
$300,000 + equity
People in AI is seeking an exceptional Engineering Manager for our client, a leading tech company in San Francisco.
About the Company
Our client is at the forefront of AI innovation, revolutionizing how businesses and consumers interact with technology. As a rapidly growing startup backed by top-tier venture capital firms, they've already made significant strides in developing AI-powered solutions that are reshaping industries.
Key highlights:
- Founded in 2019, they've experienced exponential growth and are now a team of 150+
- Their AI platform processes over 1 million user interactions daily
- Recently closed a $50M Series B funding round led by prominent Silicon Valley investors
- Featured in TechCrunch, Wired, and Forbes for their groundbreaking work in AI
- Strong commitment to ethical AI development and deployment
- Cultivates a diverse and inclusive work environment, recognized as a "Best Place to Work" by SF Business Times
Their mission is to democratize AI technology, making it accessible and beneficial for businesses of all sizes. By joining their team, you'll be part of a movement that's not just using AI, but actively shaping its future.
About the Role
We're looking for a hands-on leader to drive innovation in machine learning, full-stack development, and large-scale recommendation systems. This role offers an exciting opportunity to shape the future of AI-driven technologies.
Key Responsibilities
- Lead and mentor a team of ML and full-stack engineers
- Drive the development of cutting-edge recommendation systems
- Oversee the full ML lifecycle, from research to production deployment
- Collaborate with cross-functional teams to align tech strategy with business goals
- Contribute to architectural decisions and technical direction
Qualifications
- 5+ years of experience in ML engineering, with a focus on recommendation systems
- Strong background in full-stack development
- Proven track record of leading high-performing engineering teams
- Experience with ML tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies
- Excellent communication and leadership skills
What We Offer
- Competitive base salary of $300,000 per year
- Generous equity package
- Flexible work arrangement: 3 days on-site in San Francisco
- Opportunity to work on cutting-edge AI technologies
- Collaborative and innovative work environment
- Comprehensive health benefits and wellness programs
- Continuous learning opportunities and conference attendance
If you're passionate about AI and ready to lead a team at the forefront of technological innovation, we want to hear from you!
Apply now or reach out to People in AI for more information.
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