Data Scientist

Posted 2 Days Ago
Bolingbrook, IL, USA
Hybrid
97K-122K Annually
Mid level
Artificial Intelligence • Computer Vision • Internet of Things • Logistics • Software • Business Intelligence • Big Data Analytics
All-in-one connected onboard platform serving railroads and rail agencies throughout North America and Australia
The Role
Own the full lifecycle of deep learning models for locomotive edge deployment: design and train computer vision and time-series models, build labeling and training pipelines, optimize models with PyTorch, TensorRT, and ONNX, create APIs and automated tests, and collaborate with ML/data engineers and product teams to deploy and monitor models in production.
Summary Generated by Built In

Every freight train that arrives on time and every passenger trip that ends safely depends on people, equipment, and data working together. At Wi‑Tronix, the models you train here will run on real locomotives in real time, helping crews and customers avoid the incidents that never make the news. We are hiring a Data Scientist who wants their models to leave the notebook and live on the rail.

 

Wi‑Tronix is the digital platform the rail industry turns to for real‑time IoT data, AI‑powered analytics, and intelligent video. This is not a typical SaaS environment, and it is not a research lab. Our work is connected to critical infrastructure, our 2026 AI roadmap is funded and shared across the company, and quality is a standard we hold each other to.

 

THE ROLE

You will own the full lifecycle of deep learning models that run on locomotives across North America, working with real video and sensor data and shipping to edge hardware where lighting, weather, and equipment variability are constant factors.

•   Design and train custom deep neural networks for computer vision, object detection, and time series problems

•   Build and refine the labeling and training pipelines that feed model development

•   Optimize models for edge deployment using PyTorch, NVIDIA TensorRT, and ONNX

•   Create the APIs and automated testing that move models into production and keep them healthy

•   Partner with ML engineers, data engineers, and product, and translate model behavior for non‑technical stakeholders

 

WHO THRIVES HERE

You are a methodical experimenter who keeps careful logs and designs clean ablations. You would rather see a smaller model run well on real hardware than a bigger one win a leaderboard.

•   BS or MS in Computer Science, Mathematics, Statistics, or a related field

•   3+ years building and deploying deep learning models on real data, with strong Python and PyTorch fluency

•   Computer vision fundamentals, SQL for data access, and experience with regression, classification, and object detection

•   Solid foundation in memory model, CPU and GPU architectures, and modular software design; comfort with AWS S3 and Glue

•   Agile mindset comfortable with rapid prototyping, feedback loops, and shipping work the team can act on

•   Bonus: NVIDIA TensorRT, ONNX, YOLO or Detectron2, C or C++ for edge integration, Docker, IoT or safety critical background

 

WHAT WE OFFER

A specific and real mission with locomotive video and sensor data nobody else has access to. Full lifecycle ownership, a named career path to Senior Data Scientist, Principal Data Scientist, and AI Manager, and benefits that back your whole life: medical, dental, and vision with HSA (employer contribution), employer-paid life, AD&D, and disability coverage, 24/7 telemedicine, an Employee Assistance Program, and financial wellness resources.

 

WORK ENVIRONMENT

Hybrid in Bolingbrook, IL: Tuesday, Wednesday, and Thursday in office, with Monday and Friday worked remotely or on site as business needs require. Ability to board a locomotive for field research. Occasional domestic and international travel may be required.

 

READY TO SEE YOUR MODELS RUN IN THE REAL WORLD?

If you want your next role to be the one where your models actually ship and the outcomes are measured in safer crews and more reliable service, we would like to meet you. Bring your curiosity, your craft, and your standards. We will bring the mission, the data, and a team that trusts each other.

 

Equal Opportunity Employer

Applicants must be legally authorized to work in the United States. This position does not offer employer-based visa sponsorship now or in the future. This position’s anticipated base salary range is $97,000 to $122,000. Final compensation will be based on experience, qualifications, and location. Wi‑Tronix is proud to be an Equal Opportunity, Affirmative Action, E-Verify, and Drug Free Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. If you need reasonable accommodation for any part of the application process due to disability, please inform us at [email protected] so that we can discuss the appropriate alternatives available. Wi‑Tronix does not review unsolicited resumes from recruiters or search firms.


 

Skills Required

  • BS or MS in Computer Science, Mathematics, Statistics, or a related field
  • 3+ years building and deploying deep learning models on real data
  • Strong Python fluency
  • PyTorch fluency
  • Computer vision fundamentals (object detection, classification, regression)
  • SQL for data access
  • Experience with regression, classification, and object detection
  • Solid foundation in memory model, CPU and GPU architectures, and modular software design
  • Comfort with AWS S3 and AWS Glue
  • Agile mindset comfortable with rapid prototyping and feedback loops
  • Hybrid work in Bolingbrook, IL (office Tue-Wed-Thu) and ability to board a locomotive for field research; occasional travel
  • Applicants must be legally authorized to work in the United States (no employer-sponsored visas)
  • NVIDIA TensorRT
  • ONNX
  • YOLO or Detectron2
  • C or C++ for edge integration
  • Docker
  • IoT or safety-critical systems background
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
165 Employees
Year Founded: 2004

What We Do

Wi‑Tronix is the digital platform the rail industry turns to for real‑time IoT data, AI‑powered analytics, and intelligent video. This is not a typical SaaS environment, and it is not a research lab. Our work is connected to critical infrastructure, our 2026 AI roadmap is funded and shared across the company, and quality is a standard we hold each other to.

Why Work With Us

If you want your next role to be the one where your work actually ships and the outcomes are measured in safer crews and more reliable service, we would like to meet you. Bring your curiosity, your craft, and your standards. We will bring the mission, the data, and a team that trusts each other.

Gallery

Gallery

Similar Jobs

Caterpillar Logo Caterpillar

Data Scientist

Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Hybrid
Peoria, IL, USA
100000 Employees
81K-122K Annually

Caterpillar Logo Caterpillar

Data Scientist

Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Hybrid
Peoria, IL, USA
100000 Employees
89K-145K Annually

CrowdStrike Logo CrowdStrike

Data Scientist

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
10000 Employees
120K-180K Annually

Capital One Logo Capital One

Data Scientist

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
3 Locations
55000 Employees
147K-201K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account