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    Machine Learning Scientist - Baltimore, United States - Digital Harbor Foundation

    Digital Harbor Foundation
    Digital Harbor Foundation Baltimore, United States

    3 weeks ago

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    Description

    Job Description

    Job DescriptionOverview

    Springtail AI is developing ML agents that build models of the world through active learning - experimentation and observation – a marked difference from LLMs, which (mostly) learn passively. Agents use these models to reason about the world, which allows them to bootstrap their understanding and solve otherwise difficult problems.

    Our agents are focused on building interpretable, falsifiable models for science from limited data. To do this we're developing novel machine learning architectures. Your job as part of the team is to contribute to the architectures - and make them performant.

    Models include successors to the Transformer architecture, hybrid optimization / DP / graph / search algorithms, and other innovative approaches. Work will include more theoretical aspects (e.g. symmetry extraction) and practical implementation (CUDA kernels), as well as collaboration with external teams in the biological sciences.

    Springtail AI is a fiscally-sponsored project of Digital Harbor Foundation. Through a portfolio of projects focused on developing leadership within communities, Digital Harbor Foundation supports those closest to challenges to take deliberate actions based on a design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity.

    Experience + Education Requirements
    • PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Physics, or a related field.
    • Experience with deep learning required; experience with compiler design, program synthesis, or SAT/SMT solvers strong plus.
    • Familiarity with CUDA and/or parallel hardware algorithm design.
    Knowledge, Skills and Abilities
    • Strong programming skills in languages such as Python, C++, Rust, or Ocaml.
    • Proficiency in machine learning frameworks (e.g., PyTorch, JAX).
    • Solid understanding of mathematical modeling and complexity analysis, linear algebra, and general algorithm design.
    • Excellent problem-solving skills and the ability to work independently or as part of a team.
    • Strong communication skills, both written and verbal.
    Additional Notes

    This position is fully remote, though there is a preference for people in the Bay Area.

    Roles & ResponsibilitiesResearch and Development
    • Rapidly iterate to improve the performance of bespoke models, with an eye for theoretical and practical scaling.
    • Propose and test alternate problem formulations and algorithmic structures for the active learning agents.
    • Benchmark and rigorously verify results; identify shortfallings of existing tests.
    • Reason pragmatically about limitations and constraints of current and proposed approaches.
    Publication and Documentation
    • Document and organize code, algorithms, and methodologies so others may learn from it and build upon it.
    • Prepare research papers and documentation for publication in conferences and journals, as well as short-form blog posts
    Collaboration
    • Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts.
    • Provide technical guidance and support to other team members.
    Continuous Learning
    • Engage in continuous learning and skill development to stay current with the rapidly evolving field of machine learning.
    Other Duties
    • Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
    Compensation

    Compensation for this full-time position is $160,000 annually.

    Springtail AI provides a best-in-class comprehensive set of benefits to support the team. All regular, full-time employees are eligible to receive:

    Health Benefits & Insurance
    • Advantage Health, Dental, and Vision Insurance (Digital Harbor pays 100% of the premium for employees and 80% of dependents)
    • Pre-Tax Health Savings Account (HSA) (with $75 monthly employer contributions)
    • Pre-Tax Flexible Savings Account (FSA)
    • Paid Accidental Death & Dismemberment (AD&D) Insurance
    • Paid Short-Term & Long-Term Disability Insurance
    • Paid Life Insurance
    Retirement
    • 401k Retirement Plan (with 6% matching from Digital Harbor)
    Paid Time Off
    • 15 Days Paid Time Off Per Year
    • 20 Days Paid Time Off Per Year (after 3rd Anniversary)
    • 25 Days Paid Time Off Per Year (after 6th Anniversary)
    • 16 Paid Holidays (14 common plus 2 flexible holidays)
    • Paid Bereavement Leave
    • Paid Parental Leave for Moms and Dads (two weeks after first year)

    If our mission and vision align with your personal values, please apply

    A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually.

    Digital Harbor is an equal opportunity employer.

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