ML Engineer
Description For ML Engineer
Prophecy, a leading data copilot company backed by top VCs including Insight Partners and Databricks, is revolutionizing the data engineering space. We're seeking a Senior ML Engineer to work on our next-generation product that will transform how people process data. This role offers a unique opportunity to shape the future of data engineering through ML innovation.
As an ML Engineer at Prophecy, you'll own end-to-end product development, working with cutting-edge technologies including NLP, sequence modeling, and large language models like GPT-3. You'll be building sophisticated architectures for real-time ML-enabled products, focusing on code generation and semantic information extraction systems.
The ideal candidate brings 5+ years of ML experience, with deep expertise in NLP and product development. You'll thrive in our fast-paced startup environment, where we value entrepreneurial spirit and autonomous problem-solving. We offer comprehensive benefits, including excellent healthcare coverage, wellness allowances, and professional development opportunities.
Join us in making complex technology more accessible while solving challenging technical problems. This is your chance to be part of a transformative journey in data engineering, working with Fortune 500 enterprises across banking, insurance, healthcare, and technology sectors.
Responsibilities For ML Engineer
- Design, develop, and deliver end-to-end products for next-generation ML-enabled product
- Own features end-to-end from requirement to delivery
- Work autonomously to figure out solutions to challenges
- Build architectures for end-to-end real-time ML-enabled products
- Work in short, agile, iterative development cycles
Requirements For ML Engineer
- 5+ years of hands-on machine learning experience
- 3+ years of experience in building products using NLP or sequence modelling
- Experience with building end-to-end real-time ML-enabled products
- Solid foundation in data structures, algorithms, and software design
- Strong analytical and debugging skills
- Bachelors of Science Degree or equivalent
- Experience with OpenAI, GPT-3, Davinci or prompt engineering
Benefits For ML Engineer
- 99% coverage of employee health insurance and 75% for dependents
- Very competitive compensation
- $200 monthly wellness allowance
- Birthday and anniversary day off
- Flexible PTO
- $500 annual professional development reimbursement
- Company sponsored Long Term Disability and Life Insurance
- FSA/HSA
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