Staff Machine Learning Engineer
New
B
BetterHelpMental Health Tech
We operate on PST and candidates in any time zone are welcome to apply., PSTFull-TimeStaff
Salary$170,000 - $245,000
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLMachine LearningDeep 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 (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 (mathematical modeling, linear/integer programming, discrete event simulation)
- Familiarity with large language models, fine-tuning methods, and RLHF
- Solid foundation in computer science fundamentals (OOP, 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
- Set machine learning best practices and define 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
- Collaborate with product managers and business partners to gather requirements for machine learning models
- Build model deployment platform that simplifies 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 and build ML engineering solutions that unlock new modeling capabilities
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