Turnitin
Senior Machine Learning Scientist - Applied Research (USA Remote)
Turnitin, Washington, District of Columbia, us, 20022
Overview
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 SageMaker, 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
#EducationTechnology #MachineLearning #RemoteWork #CareerGrowth #InclusiveWorkplace
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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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 SageMaker, 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
#EducationTechnology #MachineLearning #RemoteWork #CareerGrowth #InclusiveWorkplace
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr