What you'll do
- Develop product features that can improve performance via feedback loops
- Design pipelines for fine-tuning LLMs
- Design and implement end-to-end product capabilities, including frontend and backend components
- Drive a/b tests to iterate and improve product features and ML capabilities continuously
- Work with our Platform, SRE and Data Infrastructure teams to support production needs for ML services
- Follow advancements in AI and ML, and participate in discussions about them with the ML and research teams
What you'll need
- Strong architectural skills, with proven experience designing complex software systems
- Strong engineering skills, with at least an intermediate level skill in Python
- Experience implementing technical solutions, tackling tough engineering problems to help build our products.
- Experience building and deploying production ML models to solve real-world problems
- A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
- Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
What we'd like to see
- Experience working on AWS and familiarity with CI / CD tools
- Experience with Athena, Kafka and a strong background in databases
- Experience managing software infrastructure for engineering teams
- Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
Benefits
- Competitive compensation
- Stock options
- Prudent Life Insurance
- Onsite lunch & dinner stipend
- Connectivity (mobile phone & internet) stipend
- Wellness perks
- Mac equipment
- Learning & development stipend
- Parental leave, including 6 weeks paternity leave

0 applies
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