Staff ML Engineer
Description For Staff ML Engineer
Salesforce, a global leader in CRM and enterprise cloud solutions, is seeking a Staff Machine Learning Engineer to join our team in San Francisco. This role represents an opportunity to work at the forefront of AI and machine learning technology at one of the world's most innovative enterprise software companies.
As a Staff ML Engineer, you'll be responsible for designing, developing, and deploying sophisticated machine learning solutions that enhance Salesforce's suite of products. You'll work with cutting-edge technologies and collaborate with world-class engineers and researchers to solve complex problems at scale.
The role requires deep expertise in machine learning, distributed systems, and software engineering best practices. You'll be expected to provide technical leadership, mentor other engineers, and make significant contributions to our ML infrastructure and applications.
Salesforce offers an exceptional work environment with opportunities for professional growth, competitive compensation, comprehensive benefits, and the chance to make a real impact on products used by millions of customers worldwide. Our culture emphasizes innovation, collaboration, and continuous learning.
Join us in shaping the future of enterprise AI and be part of a team that's revolutionizing how businesses connect with their customers through intelligent automation and predictive analytics.
Responsibilities For Staff ML Engineer
- Design and implement advanced machine learning solutions
- Lead technical initiatives and mentor junior engineers
- Develop scalable ML infrastructure and pipelines
- Collaborate with research teams to implement state-of-the-art ML algorithms
- Optimize ML models for production environments
- Drive best practices in ML engineering and development
Requirements For Staff ML Engineer
- Ph.D. or M.S. in Computer Science, Machine Learning, or related field
- 8+ years of experience in machine learning and software development
- Strong programming skills in Python and distributed computing frameworks
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Track record of building and deploying ML systems at scale
- Strong understanding of ML algorithms and statistical modeling
- Experience with distributed systems and cloud computing platforms
Benefits For Staff ML Engineer
- Competitive salary and equity package
- Comprehensive health benefits
- 401(k) matching
- Professional development opportunities
- Flexible time off
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