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Managing Engineer
Machine Learning
Posted on 3/8/2022
INACTIVE
Locations
The Colony, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
AWS
Computer Vision
Data Analysis
Data Science
Google Cloud Platform
Jupyter
Management
Microsoft Azure
R
NumPy
Pytorch
Research
Rust
SCRUM
SQL
Tensorflow
Natural Language Processing (NLP)
Python
Writing
Requirements
  • 8+ years of experience working in Data Science or Software Engineering field
  • 4+ years of direct experience in Machine Learning, Computer Vision, Signal Processing, or Natural Language Processing (NLP)
  • Strong production experience with MLOps
  • Solid experience using Python (including NumPy) and SQL
  • Solid experience working with Apache Spark
  • Experience using TensorFlow or PyTorch
  • Strong fundamentals in problem solving, algorithm design and complexity analysis
  • Proven ability to successfully train, mentor, and manage junior team members in multiple data science concepts
  • Experience with people management including providing career guidance and performance reviews
  • Extensive experience in researching and developing machine learning solutions, leveraging Jupyter notebooks in EMR, SageMaker, or other ML platforms
  • Extensive experience implementing Machine Learning pipelines in production environments such as Kubeflow, mlflow, Airflow, Pachyderm, and/or SageMaker
  • Hands-on experience with web APIs, containers, orchestration, CI/CD and testing
  • Experience working in Agile Scrum environments
  • Experience implementing solutions in a public cloud environment (AWS, Azure, or Google Cloud)
Responsibilities
  • Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products
  • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation, model pipelines, and model performance monitoring
  • Drive adoption of best practices across organizations
  • Write maintainable, extensible, tested code, while complying with coding standards
  • Responsible for product verticals and associated delivery of solutions
  • Manage a team of engineers/scientists, including mentorship, guidance, goals, performance, and training
  • 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 needs
Desired Qualifications
  • Experience working with data science in automotive telematics data and video is a plus
  • Experience converting and deploying models to portable formats for edge or embedded systems, such as ONNX, is a plus
Toyota Connected
Toyota Connected offers data-based mobility solutions.
Company Overview
Toyota Connected offers data-based mobility solutions.