Related skills
sql python pandas kubernetes tensorflow📋 Description
- Design, build, and operate scalable ML systems for real-time personalization
- Own ML projects end-to-end: data exploration to deployment
- Safeguard model/system quality via testing, monitoring, validation, alerts
- Collaborate with product, data, and engineering to translate problems into ML solutions
- Improve system reliability, performance, and engineering efficiency
- Contribute to ML engineering direction and best practices
- Mentor engineers through code reviews and design discussions
- Thrive in a fast-paced, late-stage startup
🎯 Requirements
- 6+ years building production ML software systems
- Proven ownership of ML systems long-term
- Strong Python; experience with PyTorch, TensorFlow, or XGBoost
- Experience with pandas, Spark, SQL, matplotlib
- Hands-on experience building automated data/model pipelines
- Experience collaborating with cross-functional teams on ML features
- Strong communication and ownership
🎁 Benefits
- Competitive base salary: USD 244,000 - 320,000
- Equity and benefits for US-based applicants
- Perks and wellness programs
- Distributed global workforce with hubs in NYC, SF, London, Sydney
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