Toyota Connected's Labs team is looking for a Machine Learning Engineer to create state-of-the-art solutions for complex problems. The ideal candidate is results-driven, interested in advanced Machine Learning techniques, and able to build solutions that impact the company's bottom-line.

Company: Toyota Connected

Role: Machine Learning Engineer

Location: Plano, Texas (Remote)

Experience:

3+ years of hands-on experience in Machine Learning in a corporate environment
Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
Experience in designing and implementing Machine Learning pipelines in production environments is a plus

Key Skills:

Python
Tensorflow
PyTorch
NLP
Machine Learning
Deep Learning
Algorithm design
Complexity analysis

Qualification:

Experience programming in Python
Experience working with Tensorflow or PyTorch
Experience with NLP
Familiar with algorithm design and complexity analysis
Strong decision-making skills
Problem-solving skills
Proven ability to learn and apply new technologies

Role Focus: • Translate complex concepts from white papers into practical code implementations • Write clean, maintainable code while complying with coding standards • Share adopted architecture patterns or new technologies with the rest of teams • Contribute to ML system design through writing and reviewing RFCs • Actively participate in interview panels for more junior MLEs • Regularly serve as a reviewer on merge requests • Execute full modeling life cycle including data cleansing, feature creation and iterative model selection • Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation

Additional responsibilities:

Work in a fast-paced Agile Scrum environment to assist in prototyping, designing, and implementing predictive models and algorithms
Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
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

Other:

Excellent compensation and benefits package
Annual $2,500 Training Budget
Unlimited time off and flexibility for a great work-life balance
Home office stipend of $1,000
Four months of paid parental leave
Adoption Assistance of $5,000 for regular adoptions or $6,000 for special needs
401(k) with generous company match
Toyota and Lexus vehicle discounts
Generous vehicle allowance
Annual Hackathon
Annual Wellness Stipend of $1000
Free catered lunches
Two fully stocked Nespresso bars
No dress code
Free covered garage parking

Machine Learning Engineer

Skills Required

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