Staff Machine Learning Engineer
New
B
BetterHelpMental Health
US - Remote, We operate on PST and candidates in any time zone are welcome to apply.Full-TimeStaff
Salary$170,000 - $245,000
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLMachine LearningSoftware EngineeringDeep LearningLLM
Requirements
- 6+ years of experience in machine learning
- Proven experience deploying and integrating machine learning models into production systems
- Strong expertise in machine learning techniques, including deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction
- Extensive experience building personalization and recommendation systems
- Working knowledge of operations research concepts such as mathematical modeling, linear and integer programming, and discrete event simulation
- Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)
- Solid foundation in computer science fundamentals, including object-oriented programming, data structures, and algorithms
- Advanced proficiency in Python and SQL
- Excellent written and verbal communication skills
- Experience developing data pipelines and machine learning libraries/tools
- Eagerness to learn and adopt new technologies
- Interest in mentoring junior machine learning engineers and data scientists
- Comfortable working in fast-paced, high-growth, and agile environments
Responsibilities
- Design, prototype and productionize scalable machine learning and optimization models
- Play a critical role in setting up best practices in machine learning and setting direction for the machine learning platform
- Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
- Partner with data scientists to troubleshoot and optimize complex data pipelines
- Work with product managers and business partners to gather requirements for machine learning models
- Build model deployment platform that can simplify implementing new models
- Build end-to-end reusable pipelines from data acquisition to model output delivery
- Mentor and guide junior data scientists to deploy their models into production
- Design & Build ML engineering solutions that unlock new ML modeling capabilities
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