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 builds an agentic AI platform that delivers AI employees to automate HR, IT, and Finance workflows across existing enterprise systems. It sells to large organizations via enterprise software and implementation services, offering on-prem and air-gapped deployments and 1,000+ prebuilt integrations. Founded in 2023, it has deployments with Wipro and Hitachi.