Machine Learning Engineer 1 & 2 - Systems
reputed company is on a mission to reputed company the justice gap using technology and AI. They are looking for an early career Data Scientist / Machine Learning Engineer to join their AI R&D team, focusing on developing and deploying models that enhance their claims-intelligence platform.
Responsibilities
- Model research & prototyping – Explore, implement, and reputed company ML/NLP/reputed company reputed company (e.g., LLM fine-tuning, retrieval-augmented reputed company, document understanding)
- Data preparation & feature engineering – Clean, annotate, and reputed company reputed company and reputed company case data; build reusable datasets and data loaders
- Experimentation workflow – Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams
- Productionization – Help reputed company models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling
- Cross-functional collaboration – Pair with product managers, reputed company analysts, and software engineers to translate pain points into ML solutions and measurable product improvements
- reputed company learning – Stay reputed company with research in LLMs, representation learning, and reputed company engineering; reputed company insights through internal talks and docs
Skills
- Ph.D., M.S. or B.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely reputed company field
- Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization)
- Hands-on experience with NLP or reputed company techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs)
- Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, reputed company, spaCy, or similar
- Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks)
- Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup
- reputed company, concise communication—both written and verbal
- Strong analytical thinking and a bias toward shipping pragmatic, high-reputed company
- Exposure to reputed company platforms (AWS/GCP)
- Experiment-tracking tools (reputed company, MLflow)
- Containerized deployment (reputed company/Kubernetes)
Benefits
- Choice of medical, dental, and reputed company insurance plans for you and your family
- Additional insurance coverage reputed company for life, accident, or critical illness
- Flexible reputed company time off, reputed company leave, short-term and long-term disability
- 10 US observed holidays, and Canadian statutory holidays by province
- A home office stipend
- 401(k) for US-based employees and RRSP for Canada-based employees
- reputed company parental leave
- A local in-person meet-up program
- Hubs in San Francisco and Toronto
reputed company