Senior Data Scientist - Deep Learning

Full Time
Data Science
Mid Level

What’s AdeptID?

AdeptID is a Boston-based B corp building talent-matching AI models focused on getting more people into better jobs, faster. Our API-first product plugs into the backend of job boards, applicant tracking systems, and training tools to make them better at recommending talent for jobs and training. In our first three years, we’ve partnered with leading HR tech providers like UKG, Training Nonprofits like Year Up, and Employer Coalitions like OneTen. We are a twelve-person hybrid team based in downtown Boston.

What will you do in this role?

  • Develop and implement state-of-the-art deep learning models leveraging transformer architectures applied to massive semi-structured text from job profiles (resumes, job postings, performance reviews, etc.) and large volumes of historical hiring decisions to predict the likelihood of successful matches between job candidates and employment.
  • Collaborate with cross-functional teams to identify and define project requirements, objectives, and success criteria.
  • Collect, preprocess, and curate large datasets for model training and evaluation.
  • Experiment with various deep learning architectures, hyperparameters, and data augmentation techniques to improve model performance.
  • Stay up-to-date with the latest research and industry trends in transformer architectures and LLMs
  • Perform thorough model evaluation, including validation, testing, and performance optimization.
  • Interpret and communicate results to technical and non-technical stakeholders through clear and compelling data-driven stories.
  • Participate in code reviews, documentation, and knowledge sharing within the team.


What kind of teammate are we looking for?

  • Proven experience in developing deep learning models, with a strong focus on transformers, retrieval augmented generation, and/or reinforcement learning.
  • Proficiency in Python, and experience with deep learning libraries/frameworks (TensorFlow, PyTorch).
  • Solid understanding of machine learning principles, algorithms, and data structures.
  • Experience with natural language processing techniques.
  • Strong problem-solving skills and the ability to think creatively.
  • Stellar presentation and written communication skills
  • Familiarity with cloud computing platforms (e.g., AWS, Azure)
  • Publications or contributions to open-source projects related to transformer architectures, vector databases, or language models/ natural language processing are a strong advantage.
  • An advanced degree, or equivalent experience, in Computer Science, Data Science, or a related field.

What do we offer?

  • A hybrid work culture that balances intentional, in-person collaboration with flexibility around family schedules and ways of working
  • Competitive early-stage compensation, health, dental, vision, 401k, commuter, 4-month paid parental leave
  • A commitment to building a company that represents diversity with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity, or expression

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