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Software Engineer - Computer Vision & Machine Learning

Urbandale, IA, US • Posted 15 hours ago • Updated 2 hours ago

Full Time

On-site

USD $70,000.00 - 140,000.00 per year

Fitment

Dice Job Match Score™

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Job Details

Skills

Software Development
IoT
Collaboration
Management
Computer Hardware
Internationalization And Localization
Mapping
Estimating
Data Collection
Training
Evaluation
Data Visualization
Data Management
SQL
Tableau
Microsoft Power BI
matplotlib
Algorithms
PyTorch
TensorFlow
Linear Algebra
Art
Research
Computer Vision
Statistics
C++
Python
Databricks
Amazon Web Services
Cloud Computing
Work Ethic
Artificial Intelligence
Machine Learning (ML)
Robotics
Product Development
FOCUS
Concept Development
Product Design
Documentation
Problem Solving
Conflict Resolution
Optimization
Testing
Impact Analysis
Information Assurance
Information Architecture
Insurance
Life Insurance

Summary

RFA Engineering (;/strong>) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.

This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.

Software Engineer - Computer Vision & Machine Learning

RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment.

Responsibilities
Develop machine learning and computer vision algorithms for automation and autonomy product development.
Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
Primary needs relating to theoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
Secondary needs relating to Machine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.

Technical Qualifications:
Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
Comfortability reading documentation to read and write good code
Proficiency in C++ and/or Python.
Experience with Databricks, AWS, cloud
Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.

Personal Qualification
Exceptional work ethic and willingness to learn.
Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved before.
Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
Eager to OWN work fully and to make decisions with autonomy to deliver.

Pay Range: $70,000-$140,000 - Commensurate with experience

Visa Sponsorship is NOT available for this position.

About RFA Engineering

RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.

Competitive Benefits
Health and Dental Insurance
TelaDoc Healthiest You
Supplemental Vision Insurance
Company Paid Life Insurance
Company Paid Long-Term Disability
Short-term Disability
Retirement Savings Account (Traditional 401k & Roth 401k)
Flexible Spending Plan Dependent Care
HSA for Medical Expenses
Bonus Plan (Exempt Employees Only)
Paid Time Off (PTO)
Paid Holidays
Bereavement Leave
Employee Assistance Programs (EAP)
Education Assistance

Equal Opportunity and Veteran Friendly

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 80183333
Position Id: 65e591cab51e81603ea871f536ef1545
Posted 15 hours ago

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