M
Mobile Programming LLC
Sr Machine Learning Engineer
Skills
Machine Learning
4 years ago
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Important information
Contract type:
Permanent
Location:
Remote, OR 97458, USA
Work mode:
Remote
Published on:
13 October 2026
What they need
- Job Description:Will prototype, design, and implement predictive models and algorithms
- They will lead the full life cycle including data cleansing, feature creation, and iterative model selection
- They will write maintainable and extensible tested code that adheres to standards, produce specifications, and determine operation feasibility, and troubleshoot, debut, and upgrade existing systems
- RESPONSIBILITIES Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform RD to drive discovery of new generation mobility products Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation Drive adoption of best practices across organizations Deliver production-ready code Work with Product Owners to define the KPIs for machine learning projects Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods Prepare and present findings to both technical and non-technical audiences Work within the constraints of time, budget, and resources capacities to align with Toyota s global vision Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needsQUALIFICATIONS: 5 years of production experience working in Data Science or Software Engineering 3 years of production experience in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP) Ability to write clean, concise, tested, maintainable code in python Solid production experience using Python (including NumPy) and SQL Production experience with Apache Spark Strong fundamentals in problem solving, algorithm design and complexity analysis Experience implementing Machine Learning pipelines in production environments Experience with deployment including knowledge of CI/CD, containerization, and related concepts is a plus Experience working in a team oriented, Agile software engineering environment Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud) is a plus Experience working with data science in automotive telematics data and video is a plus Production experience in using Tensorflow and/or PyTorch is a plus Experience in edge computing is a plus
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