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Machine Learning Object Detection Jobs in Michigan

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, intelligent document processing, and ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers). * Experience in image segmentation, object detection, and image data preparation/enhancement (e ...

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
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What job categories do people searching Machine Learning Object Detection jobs in Michigan look for? The top searched job categories for Machine Learning Object Detection jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Object Detection jobs? Cities in Michigan with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Perception Machine Learning Algorithm Engineer

Perception Machine Learning Algorithm Engineer

Lucid Motors

Southfield, MI

$75K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
Leading the Future in Luxury Electric and Mobility

At Lucid Motors, we aim to redefine the automotive experience by creating the most

captivating, luxury electric vehicles that elevate human experience and push the

boundaries of space, performance, and intelligence. Our vehicles are designed to be

intuitive, liberating, and engineered for the future of mobility.

We are committed to leading this new era of luxury electric mobility by returning to the

fundamentals of great designwhere every decision we make serves both the individual

and the environment. Free from the constraints of convention, we empower you to define

your own experience.

Join a team of some of the most accomplished minds in the industry. In addition to

competitive salaries, we offer a collaborative environment where innovators can make an

immediate and meaningful impact. If you are passionate about building a better, more

sustainable future, Lucid Motors is the place for you.

We are looking for an experienced Perception Machine Learning Algorithm Engineer to join

our ADAS/Autonomous Driving team. This position requires a highly skilled professional

with a strong background in machine learning, computer vision, and perception

algorithms, as well as solid programming expertise.

As a member of Lucids Perception team, you will research, design, implement, optimize,

and deploy state-of-the-art machine learning models that advance perception algorithms

for autonomous driving. You will conduct literature reviews, develop and modify models to

enhance performance, and contribute to the deployment of these models in production

vehicles.

Role and Responsibilities

Develop and optimize perception algorithms for Level 2/3 autonomous driving

systems using camera and LiDAR data.

Design and implement cutting-edge deep learning algorithms for 2D/3D object

detection, segmentation, tracking, and multi-task learning.

Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust

implementation.

Test, release, and deploy perception algorithms into Lucid production programs.

Support the validation and verification of perception algorithms using prototype and

pre-production vehicles.

Propose innovative software algorithms to enhance future autonomous driving

capabilities.

Required Qualifications

Strong theoretical foundations and expertise in deep learning algorithms, including

object detection, tracking, and segmentation.

Proficient in Python with a focus on clean, efficient, and scalable software

development.

Comfortable working with large codebases and debugging complex machine

learning models.

Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).

Ability to design and construct evaluation pipelines to unit-test ML models under

diverse conditions and environments.

Excellent communication skills and a strong team player.

Bachelors degree in Computer Engineering, Electrical Engineering, Automotive

Engineering, Mechanical Engineering, or a related field.

Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a

senior position.

Advanced degrees are preferred.

Preferred Qualifications

Experience developing BEV transformer models for perception.

Proficiency in C++ with experience writing efficient, maintainable code.

Practical, hands-on approach to solving complex problems in autonomous driving.

Experience in testing and validating perception systems in real-world conditions.

Experience working in agile development teams.

Expertise in component and system integration, testing, and verification at the

system and vehicle levels.

 
 
At Lucid, we dont just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 
 

What Lucid Motors employees say

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Benefits

Hours and flexibility

Workplace

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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