over 1 year ago
Base Salary
$135k - $200k/yr
Responsibilities
- Conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems.
- Implement Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems.
- Process and analyze structured, semi-structured, and unstructured large-scale datasets.
- Manage the full ML model lifecycle, including problem definition, data exploration, feature engineering, training, validation, and deployment.
- Implement A/B testing and statistical methods to evaluate model effectiveness.
- Develop automated testing and validation processes to ensure ML solution integrity and robustness.
- Explain ML model functionality and benefits to technical and non-technical stakeholders.
Requirements
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- At least two years of industry experience building and deploying production-level machine learning models.
- Practical expertise with NLP techniques and frameworks, including training and inference of large language models.
- Strong understanding of retrieval, ranking, reinforcement learning, or agent-based systems and experience building them for large systems.
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Preferred experience with SQL, ETL, data warehousing, and large-scale data systems.
- Preferred experience with machine learning model lifecycle management tools and MLOps principles.
- Preferred familiarity with GCP or Azure and current machine learning and AI research and industry trends.
- Preferred understanding of software development principles, data structures, and algorithms.
- Strong problem-solving, logical thinking, attention to detail, and collaboration skills.
Benefits
- Hybrid work arrangement with three days per week in the Mountain View, California office.
- Potential eligibility for variable compensation, equity, and benefits.
- Equal employment opportunity workplace.
Tech Stack
Categories
About Ema
Ema is a suite of AI employees for HR, IT and Finance. She doesn't just automate workflows — she redesigns the work around your outcome and executes it across every enterprise system. Proven at scale across the world's largest enterprises.