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LeadFull-timePythonAWSGCPAzureKubernetesDockerMachine LearningTensorFlowPyTorchAI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
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.
Key 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.
Requirements
- ✓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.
Benefits
- ★Equity options to share in our growth
- ★Competitive salary and performance-based incentives
- ★Comprehensive health, dental and vision benefits package
- ★401(k) with company match
- ★$200/month Health and Wellness Stipend
- ★$400/year Continuing Education Credit
- ★Function Health Subscription
- ★Flexible work week
- ★Unlimited approved PTO
- ★Parental & Bereavement Leave
- ★Supplemental Life Insurance
- ★Free parking, for in-office employees
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