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Senior Machine Learning Scientist - Applied Research; Remote

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: Turnitin
Remote/Work from Home position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 185000 USD Yearly USD 185000.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Scientist - Applied Research (USA Remote)

Employer Industry: Education Technology

Why consider this job opportunity
  • Salary range up to $185,000/year
  • Bonus eligible position
  • Remote-first culture that offers flexibility and promotes work-life balance
  • Comprehensive health and wellness programs, including generous time off and self-care days
  • Opportunities for professional development and education reimbursement
  • Collaborative and inclusive work environment that values integrity and teamwork
What to Expect (Job Responsibilities)
  • Research and develop production-grade Machine Learning models, optimizing them for scaled production usage
  • Collaborate with AI team, Engineering teams, and subject matter experts to explore product challenges and recommend ML/AI solutions
  • Curate and generate optimal datasets while adhering to responsible data collection and maintenance practices
  • Investigate and address weaknesses of models in production, implementing pragmatic solutions
  • Write clean, efficient, and modular code with automated tests and documentation, and present findings to peers and stakeholders
What is Required (Qualifications)
  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math, or related field
  • At least 5 years of industry experience in Machine/Deep Learning, Computer Science, and Software Engineering
  • Strong understanding of the mathematics and theory behind machine learning and deep learning
  • Academic publications in peer-reviewed conferences or journals related to Machine Learning
  • Proficiency in Machine/Deep Learning development skills, including popular platforms like AWS Sage Maker, PyTorch, and more
How to Stand Out (Preferred Qualifications)
  • Experience working with text data to build Deep Learning and ML models; experience in other modalities such as vision and speech is a strong bonus
  • Familiarity with building front-ends for demos, POCs, and prototypes
  • Experience with advanced prompting, agentic-systems, and fine-tuning or training LLMs
  • Showcase of previous work (e.g., via a website or open-source code)
  • Essential dev-ops skills, including Docker and AWS services

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Position Requirements
10+ Years work experience
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