Managing Machine Learning Engineer, Mobility

Company: NLP PEOPLE
Location: Plano
Posted on: March 12, 2025

Job Description:

Plano, TX - Hybrid OptionToyota Connected's Mobility team is looking for a Managing Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.Responsibilities:

• Use statistical and machine learning techniques to create scalable solutions for in-vehicle speech and text interactions and perform R&D to drive discovery of new generation products.
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation.
• Drive engineering and product strategy, vision, and roadmaps working closely with product owners and customers.
• Regularly dive into architecture, code, deployments, and operations to model technical excellence for the team.
• Manage feature backlogs in partnership with the product owners and key stakeholders.
• Define and set standards for engineering rigor and help cultivate an engineering driven culture.
• Influence best practices in product management, software development and CI/CD methodologies.
• Align technical resourcing to product release plans and material plans; drive programs to completion on time and within budget.
• Manage staffing, development, and performance management programs for engineering teams; motivating and developing project and team leaders.
• Lead, develop, train, mentor and provide coaching and guidance to engineering staff.
• Facilitate team growth by attracting candidates, interviewing, evaluating, and selecting new talent.Qualifications:
• 5+ years of software engineering, machine learning, data science, or total equivalent experience.
• Strong experience in Machine Learning, Computer Vision, and/or Signal Processing.
• Experience working with deployment and monitoring of ML models in a production cloud-based containerized environment.
• Ability to write clean, concise, tested, maintainable code in Python.
• Solid production experience with Deep Learning using TensorFlow and/or PyTorch.
• Experience with designing, implementing, and maintaining machine learning pipelines in a production environment.
• Ability to establish a clear vision and strategy for the team.
• Ability to communicate effectively across all levels of the organization and ability to articulate complex ideas without complexity.
• Grasp of both business operational and technical/engineering concepts backed by problem-solving skills to help drive technical decisions.
• Experience in Agile practices and promoting Agile development techniques such as TDD, BDD and CI/CD.
• Experience deploying ML models in container environment.
• Experience with public cloud including AWS, Azure, or GCP.
• Experience helping to resolve complex technical challenges with multi-team impact.
• Experience participating in interviewing and selecting new hires.
• Experience guiding teams to make cost effective technology decisions.
• Ability to manage multiple priorities within a set period of time with positive outcomes.
• Solutions oriented with the ability to think outside the box of conventional solutions.
• Ability to evaluate employee performance and provide feedback for development.
• Exhibits integrity and high standards in work quality.
• Displays care, empathy, and understanding towards team members including valuing diversity and differences amongst individuals.
• Ability to take accountability for self and others to deliver results.
• Strong verbal and written communication skills.
• Experience building and delivering machine learning, AI, computer vision, or optimization products is a plus.
• We think the knowledge acquired earning a bachelor's degree in computer science would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time.Excited about this opportunity, but don't meet 100% of the qualifications? We'd still love for you to apply! Toyota Connected is dedicated to building a diverse and inclusive workplace where unique experiences are valued, and everyone has the opportunity to contribute. You may just be the right candidate for this, or other Toyota Connected opportunities.Location:This position is based in Plano, Texas. Toyota Connected encourages all employees to live within a reasonable commuting distance of their assigned work location for Hybrid work.To save time applying, Toyota Connected does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.What's in it for you?
• A Career Path that allows you to take your career to the next level.
• Annual $2,500 Training Budget to help you grow and develop your professional skills.
• Unlimited time off and flexibility for a great work-life balance. At TC you'll be treated like the professional we know you are and left to manage your own time and workload.
• Home office stipend of $1,000 to help furnish an ergonomic remote office.
• Four months of paid parental leave. We want new moms and dads to have an opportunity to bond with their new little bundles of joy.
• Adoption Assistance of $5,000 for regular adoptions or $6,000 for special needs. We know adoption costs can add up, and we want to help.
• 401(k) with generous company match that is fully vested day one.
• Toyota and Lexus vehicle discounts to allow you to drive in style.
• Generous vehicle allowance for new and leased Toyota and Lexus vehicles. Scratch that vehicle payment off your monthly bills!
• Annual Hackathons to embrace your superior creative thinking ability.
• Annual Wellness Stipend of $1000 to help balance your overall mental and physical health.
• Free catered lunches when working onsite. We try to keep it healthy, but Fridays are "cheat" days, so you can get your carbs on!
• Two fully stocked Nespresso bars for your coffee and tea fixes.
• No dress code! Come as you are. We know the smart people we hire don't need to be told what to wear.
• Free covered garage parking to shield your vehicle from those sneaky storms and to protect your buns from the Texas sun.Who Are We?Toyota Connected was established in 2016 to infuse the power of big data and cloud intelligence into all aspects of the mobility experience so that driving a Toyota or Lexus is more personal, intuitive, and safe. We create and enable technologies that delight, simplify, and connect the lives of those who use our products. We believe this mobility revolution will empower our customers to use their vehicles in an array of exciting new ways. We support, celebrate, and thrive on the opportunity to provide Mobility for All.Making a connected life a more human experience takes humans from all walks of life. Toyota Connected celebrates and is committed to a diverse and inclusive workplace that embraces you.We are committed to creating an accessible and inclusive hiring process by providing reasonable accommodations as necessary for persons with disabilities or those affected by pregnancy, childbirth or related medical conditions. If you need to request an accommodation, please reach out to your Recruiter who will connect you with an HR Business Partner to discuss your requested accommodation. We only share the candidate information obtained through this process as necessary to fulfill our reasonable accommodation obligations and strive to create an unbiased and equitable experience for all.Company:Toyota Connected North AmericaQualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):Senior (5+ years of experience)
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Keywords: NLP PEOPLE, Plano , Managing Machine Learning Engineer, Mobility, Engineering , Plano, Texas