Machine Learning Engineer (Generative AI)

Location: Hybrid, working 3 days of choice in the San Francisco or Toronto, Canada office.

San Francisco base salary: $130K–$205K plus equity. Toronto base salary: CA$110K–CA$170K plus equity.

Company

hirify.global is a vertical SaaS company using technology and AI to help personal injury lawyers and victims secure faster settlements, higher payouts, and better outcomes.

What you will do

• Develop, implement, and benchmark machine learning, NLP, and generative AI methods, including LLM fine-tuning, retrieval-augmented generation, and document understanding.
• Clean, annotate, and transform structured and unstructured legal and medical case data; build reusable datasets and data loaders.
• Design experiments, run A/B tests, analyze results, and communicate findings to product and engineering teams.
• Integrate models into production systems with ML platform engineers, including testing, monitoring, and scaling.
• Collaborate with product managers, legal analysts, software engineers, senior ML engineers, and data scientists to translate real problems into measurable ML solutions.
• Track research in LLMs, representation learning, and prompt engineering and share relevant findings with the team.

Requirements

• B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field.
• Solid grounding in supervised and unsupervised learning, evaluation metrics, overfitting, and regularization.
• Hands-on experience with NLP or generative AI techniques, including transformers, embeddings, sequence-to-sequence models, or LLMs.
• Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy.
• Familiarity with SQL and basic data engineering concepts, including ETL, versioned datasets, and notebooks.
• Strong analytical thinking, clear communication, and willingness to learn and iterate quickly in a fast-moving startup.
• Ability to work hybrid three days of choice in the San Francisco or Toronto, Canada office.

Nice to have

• Exposure to cloud platforms such as AWS or GCP.
• Experience with experiment-tracking tools such as Weights & Biases, Gemini Enterprise Agent Platform, or MLflow.
• Familiarity with containerized deployment using Docker or Kubernetes.
• Experience in a high-growth startup environment.

Culture & Benefits

• Medical, dental, and vision insurance options for employees and families, plus additional life, accident, and critical illness coverage.
• Flexible paid time off, sick leave, short-term and long-term disability, and paid parental leave.
• Ten US observed holidays or Canadian statutory holidays by province.
• Home office stipend and local in-person meet-up program.
• 401(k) for US-based employees and RRSP for Canada-based employees.