Machine Learning Engineer

Ford Motor Company US Dearborn , MI 48120

Posted 2 months ago

Job Description & Qualifications

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Ford's Research and Advanced Engineering team explores new vehicle and societal innovations that require some level of invention before they can be applied to our products and services. The team is building on a history of Ford innovation, including our invention of the three-way catalytic converter to modernize vehicle emissions controls in the 1970s and the world's first rear inflatable seat belts in 2010.

Today, we are exploring and delivering ways to make smarter vehicles and our transportation system more efficient to improve people's lives by helping them move more freely, safely, and enjoyably. For example, we are changing how our products are made by creating high-quality vehicles in an environmentally and socially responsible way, including the use of sustainable materials. Since 2000, we have used 12 industry- and world-first plant-based materials in our production vehicles. We also are researching the possible use of tomato skin, bamboo, agave fiber, dandelion roots, algae, and coffee chaff as part of our ambitious goal of making our vehicles with up to 20 percent sustainable material by 2025!

What you'll be able to do:

  • Contribute to projects focused on developing the future in-vehicle software frameworks needed to support emerging task-specific and high-compute platforms for smart vehicles in a smart world (ex. AI, ML, data fusion, cyber security)

  • Develop computer vision and/or machine learning algorithms using innovative methods to enhance customer experiences in Ford vehicles

  • Perform hardware-software co-optimization to improve algorithm performance

  • Work closely with production customers (Platform Architecture, Power Train, ADAS, GDIA, etc.,) and conduct successful technical transfers from research to production

  • Research and analyze latest software design techniques and processes, machine learning enabling technologies, groundbreaking computer vision and machine learning algorithms and industry trends with universities and supplier partners and apply them to create "best in industry" research to production deployment

  • Perform competitive analyses and maintain knowledge of emerging technologies for both automotive and automotive enabling applications and technologies

  • Develop and maintain software and hardware integration test environments, simulation tools , debug complex software, evaluate and test software and hardware components for production readiness

  • Participate in technical workshops both within Ford and with suppliers to identify innovations that enable software development, compute architecture vehicle advancements, frameworks, and algorithm designs

  • Write and publish research papers based on findings and participate in committees and industry consortiums as required

  • Limited travel to cover business critical Software and Machine Learning Conferences, Industry or Vendor Events or collaborate with remote team members as required

Our minimum requirements:

  • Master's Degree in Computer Science, Electrical Engineering, or any related field of study or a combination of education and equivalent experience
  • 5+ years of software development experience (internships and coursework allowed)
  • 3+ years of experience developing Machine Learning/Artificial Intelligence (internships and coursework allowed) algorithms and/or capabilities to support them
  • 3+ years of experience with deep learning frameworks like TensorFlow, PyTorch, Caffe2, Keras (internships and coursework allowed)
  • 3+ years of experience working with various operating systems (eg: RTOS like QNX, Linux Operating System) (internships and coursework allowed)

Our preferred qualifications:

  • PhD in Computer Science, Electrical Engineering, or any related field of study or a combination of education and equivalent experience

  • 10+ years of experience with embedded software development in C/C++

  • 10+ years of experience developing automotive software solutions

  • 5+ years of experience in developing artificial intelligent (AI) or machine learning (ML) applications

  • 3+ years of experience optimizing computer vision/machine learning algorithms for task specific accelerators/hardware

  • 5+ years of experience working with a Software Development Lifecycle framework including during university studies

  • 5+ years of experience in technical project management in research or production environments including during internship/co-op experience

  • 3+ year of experience presenting project status to teams and management both in formal presentation and written formats including as part of university studies or class projects

  • Familiarity with scripting and new programming languages (Lua, Go, Rust, Python, etc.)

  • Knowledge and experience with Real Time Operating Systems (e.g., QNX), continuous integration tools (e.g., Jenkins), version control systems (e.g., GitHub), unit testing frameworks (e.g., GoogleTest), containers (e.g., Docker), static and dynamic code analysis tools (e.g., clang-tidy, Valgrind), debugging tools (e.g., GDB), code beautify tools (e.g., clang-format)

  • Proven ability to identify new software concepts and develop a rapid prototype environment to benchmark and or deliver quantifiable results to conclude recommendations

  • Proven ability to develop a work plan and lead a team through a software and or hardware rapid prototype project

  • Strong knowledge in AI, ML, and passion for identifying and understanding emerging advance software related trends

What you'll receive in return:

As part of the Ford family, you'll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You'll also experience exciting opportunities for professional and personal growth and recognition.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States permanently. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

For information on Ford's salary and benefits, please visit:

2022 New Hire Benefits Summary GSR HTHD (ford.com)

At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Machine Learning Engineer

Cognizant Technology Solutions

Posted 3 months ago

VIEW JOBS 9/28/2022 12:00:00 AM 2022-12-27T00:00 <p>Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&amp;P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.</p><ul><li>Please note, this role is not able to offer sponsorship now or in the future*</li></ul><p>Practice - AIA - Artificial Intelligence and Analytics</p><p>About AI &amp; Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI &amp; Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!</p><p>By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant's AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.</p><p>Job Duties and Responsibilities:</p><ul><li><p>Deliver production implementations of Data Science solutions on the Google Cloud Platform</p></li><li><p>Collaborate directly and continuously with business partners and product managers to release early and often</p></li><li><p>Focus on implementing AI/ML solutions to democratize Machine Learning across client enterprise</p></li><li><p>Deploy Machine Learning models</p></li><li><p>Apply agile practices to solution delivery</p></li></ul><p>Qualifications</p><ul><li><p>Should have good knowledge of Docker, Kubernetes, Openshift, Argo Tekton, Command center</p></li><li><p>Experience in programming concepts such as Paired Programming Test, Driven Development, etc.</p></li><li><p>Experience using Machine Learning tools (PyTorch, TensorFlow, xgboost, etc)</p></li><li><p>Experience and a good understanding of Machine Learning / Deep Learning Models / Python / ML Model Deployment / ML Model Management for production environments</p></li><li><p>Strong analytic and problem-solving skills</p></li><li><p>Good organizational and time-management skills</p></li><li><p>Demonstrated ability to work with key stakeholders outside the project to understand requirements/resolve issues.</p></li></ul><p>Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.</p><p>Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.</p><p>Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.</p><p>Employee Status : Full Time Employee</p><p>Shift : Day Job</p><p>Travel : No</p><p>Job Posting : Sep 27 2022</p><p>About Cognizant</p><p>Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.</p><p>Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.</p><p>Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.</p><p>If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.</p><br> Cognizant Technology Solutions Dearborn MI

Machine Learning Engineer

Ford Motor Company US