Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
About the role
- Machine Learning Engineer working on next-generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
Responsibilities
- You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
- With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field,
- having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
Requirements
- Has exceptional engineering skills.
- Has deep ML knowledge with meaningful implementation track records.
- Prioritize deep and strategic thinking.
- Has dedication, patience and resilience to build exceptional product experience.
- Collaborative and win with teams.
- Proactive and bias to action, comfortable in fast-pacing environment.
- Top school majoring in CS (Stanford, Berkeley, CMU, MIT)
- Competitive coding winner (ACM-ICPC, etc). Look for global and competitive competition, Kaggle does not count.
- Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
- As first contributor, open source and maintain projects that gets traction (2k+ stars)
- For BS/MS, as first author, publish at least one high-impact paper (500+ citations). For PhD, the bar will be higher (2-3 first-author high impact (500+ citations) papers or 1 first-author stellar (3000+citations) paper)
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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