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Company

Original Job Post

Thomson Reuters · 6 days ago

Senior Applied Machine Learning Scientist

McLean, VA

Full-time

Hybrid

Senior Level

5+ years exp

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Responsibilities

Drive the end-to-end model development lifecycle, ensuring reproducible research and well-managed software delivery.

Collaborate with cross-functional teams, share information, and mentor teammates.

Translate complex business problems into projects with clearly defined scope, delivering timely and well-managed solutions.

Innovate by trying new approaches, fostering innovative ideas, and iterating on improvements rapidly.

Inspire by effectively communicating work to both technical and non-technical audiences, leading the way in AI adoption across the enterprise.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSoftware EngineeringData EngineeringTechnical LeadershipProject ManagementAI/ML ProjectsMachine LearningAlgorithm DesignAIMLNLPChatbot developmentInformation retrievalLanguage translationNERTopic modelingLLM trainingFinetuningPyTorchTensorFlowScikit-learnSpaCyHuggingFace TransformersHuggingFace DiffusersOpenAILangChainSemantic KernelOpenCVCloud solutionsAWS

Required

PhD in a relevant discipline or Master’s or Bachelor’s with a comparable level of experience

Proficiency in Python

At least 5+ years practical, relevant experience building AI/ML products and applications (7+ years for Master’s or 10+ years for Bachelor’s)

Solid software engineering and / or data engineering skills for prototyping

Experience as a technical leader, leading aspects of the following: aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and guiding the work of others, communication of progress and plans with varied stakeholders

Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms

Preferred

6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry

Have familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling

Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)

Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV

Experience in using Cloud solutions (AWS, Azure, etc.) for building and deploying data science solutions

Demonstrated ability to translate cutting edge research into working prototypes and at-scale products

Experience in a fast-paced, agile environments managing uncertainty and ambiguity

Proficiency in Python and experience delivering minimum viable products in a large enterprise environment

Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders

Diverse experiences across problem spaces, companies and cultures

Company

Thomson Reuters

Glassdoor

3.0

Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets.

Founded in 1977

Toronto, Ontario, CAN

10,001+ employees

http://thomsonreuters.com

H1B Sponsorship

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