Senior Machine Learning Engineer
4 weeks ago
Senior Machine Learning Engineer
$250,000 base + $500K equity (4 years vest + annual refreshers)
3 days per week on-site in SF
Full life cycle ML modeling
Our Client:
A high-growth, late-stage innovator obsessed with delivering exceptional value to customers.
Boasts a 200+ strong engineering force working across diverse areas like app development, infrastructure, data platforms, machine learning, and security.
Believes rapid prototyping and data-driven decisions are key to long-term success.
The Opportunity:
My client seeks a self-driven, highly motivated Machine Learning Engineer to join their expanding ML team.
As a pioneer in their growing ML group, you'll play a vital role in developing models and infrastructure across their platform.
You'll collaborate closely with Product and Engineering to implement impactful end-to-end modeling solutions.
Why You'd Be Awesome Here:
You have a proven track record of building top-notch, dependable systems.
You despise regressions and proactively prevent them with diverse testing techniques.
Collaboration, technical leadership, and clear communication are your strengths.
You continuously push for improvements, both directly and by advocating for larger-scale changes.
You thrive in a fast-paced, high-impact environment typical of a late-stage startup.
Qualifications We Seek:
6+ years of experience building systems, with a deep understanding of long-term implications.
Experience with popular machine learning frameworks and tools (e.g., TensorFlow/PyTorch, xgboost).
Expertise in Python and extensive experience using machine learning for scalable systems and data-driven products, working with cross-functional teams.
Proven ability to build automated processes for data analysis, model development, validation, and implementation based on cutting-edge research.
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