Turnitin
Senior Machine Learning Scientist - Applied Research (USA Remote)
Turnitin, Chicago, Illinois, United States, 60290
Why consider this job opportunity
Salary up to $185,000/year Bonus eligible position Remote-first culture with flexibility in work arrangements Generous time off, including competitive paid time off and self-care days Supportive health and wellness programs, including mental health resources Opportunity to make a meaningful impact on global education What to Expect (Job Responsibilities)
Research and develop production-grade Machine Learning models optimized for scaled production usage Collaborate with cross-functional teams to identify product challenges and recommend innovative ML/AI solutions Curate and generate optimal datasets while ensuring data quality and responsible data collection practices Investigate and address weaknesses of models in production while implementing pragmatic solutions Communicate insights and findings effectively 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 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 using popular platforms such as AWS SageMaker and PyTorch How to Stand Out (Preferred Qualifications)
Experience working with text data to build Deep Learning and ML models Familiarity with building front-ends for demos and prototypes Experience with advanced prompting and fine-tuning of language models Showcase of previous work through a website or open-source code Essential dev-ops skills, including experience with Docker and AWS services #EducationTechnology #MachineLearning #RemoteWork #CareerOpportunity #CompetitiveBenefits "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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Salary up to $185,000/year Bonus eligible position Remote-first culture with flexibility in work arrangements Generous time off, including competitive paid time off and self-care days Supportive health and wellness programs, including mental health resources Opportunity to make a meaningful impact on global education What to Expect (Job Responsibilities)
Research and develop production-grade Machine Learning models optimized for scaled production usage Collaborate with cross-functional teams to identify product challenges and recommend innovative ML/AI solutions Curate and generate optimal datasets while ensuring data quality and responsible data collection practices Investigate and address weaknesses of models in production while implementing pragmatic solutions Communicate insights and findings effectively 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 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 using popular platforms such as AWS SageMaker and PyTorch How to Stand Out (Preferred Qualifications)
Experience working with text data to build Deep Learning and ML models Familiarity with building front-ends for demos and prototypes Experience with advanced prompting and fine-tuning of language models Showcase of previous work through a website or open-source code Essential dev-ops skills, including experience with Docker and AWS services #EducationTechnology #MachineLearning #RemoteWork #CareerOpportunity #CompetitiveBenefits "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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