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Entry Level Computer Vision Deep Learning Engineer Jobs in Shelby, IN

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Design and implement novel machine learning and deep learning models tailored to internal research ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Design and implement novel machine learning and deep learning models tailored to internal research ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

Four Seasons Heating

Entry Level Technician

Hobart, IN · On-site

$40K - $75K/yr

... while learning the trade the right way. You will: * Perform clean-and-check inspections on ... Vision Plans (free to employees) * Short Term Disability (free to employees) * Long Term Disability

FOUR SEASONS MASTER

Entry Level Technician

Hobart, IN

$40K - $75K/yr

... while learning the trade the right way. You will: * Perform clean-and-check inspections on ... Vision Plans (free to employees) * Short Term Disability (free to employees) * Long Term Disability

Gotion, Inc.

Junior Equipment Engineer

Manteno, IL · On-site

This is an excellent entry-level opportunity for an early-career engineer seeking to build ... Familiarity with CAD software for reviewing equipment layouts or designs * Exposure to Lean ...

Whiting Corporation

Design Engineer

Crete, IL

$90K - $100K/yr

Create CAD solid models of component parts and assemblies used to realize the overall design of ... Benefits: 401K 401K Matching Health Insurance Dental Insurance Vision Insurance Disability ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Shelby, IN

Entry Level Computer Vision Deep Learning Engineer information

See Shelby, IN salary details

$46.8K

$117.3K

$132.7K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for entry level computer vision deep learning engineer in Shelby, IN is $117,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $126,900.00 per year, depending on experience, location, and employer.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Shelby, IN are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Shelby, IN with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Shelby, IN as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,277 per year, or $56.4 per hour.

Machine Learning Engineer

Gotion, Inc.

Manteno, IL

Other

Re-posted 22 days ago

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

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