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Senior Machine Learning Scientist - Applied Research; Remote
Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listed on 2026-01-16
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
Job Description & How to Apply Below
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
- 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
- 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
- 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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#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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