- Build exceptional systems with a proven track record of quality and reliability.
- Prioritize quality with a zero-tolerance policy for regressions, implementing meticulous testing practices.
- Collaborate and lead as a team player with exceptional communication skills and a natural leadership presence.
- Continuously improve by seeking ways to enhance projects through direct contributions and advocating for long-term changes.
- Thrive in a fast-paced environment, relishing the challenge and excitement of working at a growth-focused tech company.
- 4+ years of experience building production-grade systems.
- Experience with popular machine learning libraries (TensorFlow/PyTorch, xgboost).
- Proficiency in Python and data analysis tools (pandas, matplotlib, SQL, Spark).
- Experience using machine learning and data analysis to build scalable systems and data-driven products.
- Proven ability to develop, validate, implement, and automate large-scale data analyses and machine learning models.
- Join a team that empowers thousands of brands and processes massive volumes of data.
- Master a cutting-edge tech stack to deliver exceptional results.
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Senior Machine Learning Engineer - California, United States - People In AI
Description
Senior Machine Learning Engineer
Late stage startup
$250,000 base + $400K - $750K equity (4 year vest)
Hybrid 3 days per week - SF
Our client is a rapidly growing well funded tech firm who are nearing IPO. You will join a 10-person ML team (part of a 200-person engineering team) that builds end-to-end ML models that solve business problems.
They like candidates with a SWE background who are currently building ML models that are deployed to production. You will need strong ML skills, system architecture, and backend coding to pass the interview :)
You're a Perfect Fit if you:
About You:
The Impact You'll Make:
