Staff Machine Learning Engineer

About the Role

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.

Responsibilities

• Lead the development and optimization of Large Language Models and Mixture of Experts models.
• Collaborate with cross-functional teams to integrate ML models into our platform.
• Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
• Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
• Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.

Qualifications

• Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
• Proven track record of building and innovations through publications or industry experience.
• Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
• Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
• Demonstrated ability to lead complex projects and work collaboratively in a team environment.
• Excellent problem-solving skills and a passion for innovation.

Preferred Skills

• Experience with cloud computing services (AWS, Azure, GCP).
• Knowledge of Big Data technologies (Hadoop, Spark).
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Publications or presentations in recognized Machine Learning journals or conferences.

Additional information

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

• Truth - Emphasizing transparency and honesty in every interaction and decision.
• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits

We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.

• Competitive salary
• Comprehensive health, dental, and vision benefits package
• 401(k) match
• Equity options
• $200/month Health & Wellness stipend
• Continuing Education support
• $500/year Function Health subscription
• Free parking for in-office employees
• Flexible Time Off (FTO)
• Parental leave for eligible employees
• Supplemental life insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.