Senior Machine Learning Engineer

Plano, TX Hybrid Option

Toyota Connected’s Labs team is looking for a Senior 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 & Deep Learning techniques, would love to work with text, image and audio data, 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:

Design & Implement model architectures destined for both the edge and the cloud, optimizing for OTA updates and performance on an embedded device

Leverage new-age multimodal (text + image) LLM capabilities to support novel product features

Drive adoption of best practices across organizations

Write maintainable, extensible, tested code, while complying with coding standards

Work with Product Owners to define the KPIs for machine learning projects

Mentor, guide, and train more junior team members

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

Lead moderately complex ML projects (i.e., projects that are larger in size/scope/risk, require moderate organizational navigation and/or have some intricacies such as ambiguity or evolving contexts) under limited direction of Manager/Product Owner

Regularly set direction for several aspects of model training (CI/CD, pipelines, data analysis, model architecture)

Proactively identify team ML needs/gaps, plan, and leads implementation/planning

Engage in all aspects of model training (CI/CD, pipelines, data analysis, model architecture)

Qualifications:

5+ years of production experience in Machine Learning, Deep Learning, Natural-Language Processing (NLP), and/or Computer Vision (CV)

Solid experience with NLP

Ability to write clean, concise, tested, maintainable code in Python

Experience with a strongly typed programming language (Rust, Go, C, C++, C#, Java, or Python)

Solid production experience with Deep Learning using TensorFlow and/or PyTorch

Strong fundamentals in problem solving, algorithm design and complexity analysis

Ability to design and implement machine learning pipelines in a production environment

Experience working in a team oriented, Agile software engineering environment

Experience with deployment including knowledge of CI/CD, containerization, and related concepts

Proven ability to learn and apply new technologies, programming practices, patterns, and methods

Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts

Ability to go “paper to production” not only implementing novel deep learning concepts

Deep understanding of industry trends, best practices, and emerging technologies to drive strategic decision-making and innovation

Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment

Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies

Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners

Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability for quality and deadlines.

Ability to manage multiple priorities effectively, balancing deadlines, resources, and stakeholder expectations in a fast-paced environment

Ability to identify, assess, and mitigate risks

Results-driven with a strong track record of setting goals, executing strategies, and delivering measurable outcomes

Skilled in resolving conflicts through effective communication, mediation, and problem-solving to foster a positive and productive work environment but putting them into the product itself.

We think the knowledge acquired earning an BS in Computer Science, Engineering, Mathematics, or a related field 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 can 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. Relocation assistance is available.

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?

In addition to an excellent compensation and benefits package, you’ll also receive:

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 Patent-a-thons and 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.