Job Description
Job Description: • Design and build the platform that powers large-scale machine learning model training, fine-tuning, and evaluations workflows. • Co-design and optimize systems and models for bolthires-effectiveness of machine learning model training. • Design easy-to-use APIs and interfaces for experienced ML practitioners and non-experts. Requirements: • Experience in ML engineering on production systems dealing with training or inference of deep learning models. • Proven track record of building and operating large-scale infrastructure for machine learning use cases.
• Experience with cloud computing providers, preferably AWS. • Comfortable with ambiguity and working across multiple layers of the tech stack. • Adopt and promote best practices in operations, including observability and logging. • Excellent written and verbal communication skills. • Comfortable working in a team with peers and partners distributed across geographies & time zones. Benefits: • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • 35 days annually for paid time off for full-time hourly employees • Immediate flexible time off for full-time salaried employees Apply tot his job
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