ZipRecruiter

Log In

1

Freelance Computer Vision Deep Learning Engineer Jobs in Kansas

Waabi

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... computer vision, machine learning, or self-driving technology. The US yearly salary range for this ...

SynergisticIT

Junior AngularJS Developer

Overland Park, KS · On-site

$63K - $82K/yr

... Machine Learning engineers. Who Should Apply Recent Computer science/Engineering /Mathematics ... Vision, data visualization tools • Excellent written and verbal communication skills Preferred ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

... or computer information systems. Applicants with a minimum of 5-10 years of experience are ... Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ...

Garmin

Senior Sensor Algorithms Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ... Experience with data science, statistics, linear regression, deep learning, reinforcement learning ...

Nebius

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). * Familiarity with ML tools ... Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families ...

StackAdapt

... join our engineering team as we continue to expand our data science efforts. Our platform is ... Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ... and Deep Learning frameworks. About Us NinjaOne automates the hardest parts of IT to deliver ...

Varsity Tutors

Computer Programming Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Accenture

Agentic DevOps Lead

Overland Park, KS · On-site

$70K - $205K/yr

... deep learning, and data analysis to solve complex problems and deliver impactful AI-driven ... Accenture offers a market competitive suite of benefits including medical, dental, vision, life ...

next page

Showing results 1-20

All JobsFreelance Computer Vision Deep Learning Engineer JobsFreelance Computer Vision Deep Learning Engineer Jobs in Kansas

Freelance Computer Vision Deep Learning Engineer information

What engineers make $500,000?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. Freelance computer vision deep learning engineers are in demand for developing models using tools like TensorFlow and PyTorch, and staying current with advancements is essential for success.

Is ML full of coding?

Machine learning (ML) roles, including those for a freelance computer vision deep learning engineer, typically involve significant coding, especially in languages like Python and frameworks such as TensorFlow or PyTorch. Strong programming skills are essential for developing, training, and deploying models, although understanding algorithms and data preprocessing are also important components of the job.

Is ML a high paying job?

A career as a machine learning engineer, including roles in computer vision and deep learning, is generally considered high paying due to the specialized skills and demand for expertise in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but these roles often offer competitive compensation compared to other tech positions.
What are popular job titles related to Freelance Computer Vision Deep Learning Engineer jobs in Kansas? For Freelance Computer Vision Deep Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Freelance Computer Vision Deep Learning Engineer jobs in Kansas look for? The top searched job categories for Freelance Computer Vision Deep Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Freelance Computer Vision Deep Learning Engineer jobs? Cities in Kansas with the most Freelance Computer Vision Deep Learning Engineer job openings:
Freelance Computer Vision Deep Learning Engineer jobs near you

Research Engineer, Calibration

Waabi

On-site, Remote

$158K - $269K/yr

Full-time

Posted 4 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).

- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.

- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.

- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Qualifications:

- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.

- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.

- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.

- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.

Bonus:

- Experience with building and managing complex data pipelines.

- Experience working on real-time state estimation integrity monitoring.

- Solid knowledge in performance profiling and optimization.

- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.