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Entry Level Machine Learning Visa Sponsorship Jobs

Avride

Machine Learning Engineer

Austin, TX · On-site

Our team builds self-driving solutions from the ground up, with machine learning at the core of our ... The employer is not offering relocation sponsorship, and remote work options are not available.

AJ Rose

2nd shift Machine Operator

Avon, OH · On-site

$17.07 - $21.66/hr

Kickstart Your Manufacturing Career! Entry-Level Machine Operator Looking to get your foot in the ... Enjoys learning new equipment * Takes pride in quality work Apply today and start building a career ...

Fastenal Company

Entry-Level Machinist

Houston, TX · On-site

$14 - $17/hr

Entry-Level Machinist 15009 Lee Rd, Houston, TX 77032 TX280 Manufacturing Facility Full-time Shift ... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ...

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Entry Level Machine Learning Visa Sponsorship information

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How much do entry level machine learning visa sponsorship jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level machine learning visa sponsorship in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What types of projects and collaboration can an entry level machine learning employee expect, especially when working under visa sponsorship?

Entry level machine learning professionals typically work on well-defined tasks such as data preprocessing, model training, and assisting with algorithm development under the guidance of senior team members. Collaboration is a key part of the role, often involving cross-functional teams including data engineers, software developers, and domain experts. Those on visa sponsorship can expect structured onboarding, mentorship opportunities, and regular feedback to support both technical growth and integration into the team. Many organizations provide clear project scopes and documentation, making it easier for new hires to ramp up and contribute effectively.

What are Entry Level Machine Learning Visa Sponsorship jobs?

Entry Level Machine Learning Visa Sponsorship jobs are positions in the field of machine learning that are suitable for candidates with little to no professional experience and are open to applicants who require employer sponsorship for a work visa. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior engineers or scientists. Employers offering visa sponsorship help international candidates legally work in the country, often supporting H-1B or similar visa processes. Such jobs are common in technology companies, research labs, and startups that need fresh talent and are open to hiring globally.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree or coursework. Experience with programming languages like Python or R, familiarity with ML libraries (such as TensorFlow or scikit-learn), and knowledge of data processing tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and deliver impactful solutions. These skills ensure you can build, evaluate, and deploy machine learning models that address real-world challenges and support business objectives.

What is the difference between Entry Level Machine Learning Visa Sponsorship vs Entry Level Data Scientist Visa Sponsorship?

AspectEntry Level Machine Learning Visa SponsorshipEntry Level Data Scientist Visa Sponsorship
Required CredentialsBachelor's in CS, ML, or related; basic programming skillsBachelor's in CS, Statistics, or related; programming and analytical skills
Work EnvironmentResearch labs, tech companies, startupsTech firms, finance, healthcare, consulting
Industry UsageDeveloping ML models, algorithmsAnalyzing data, building predictive models
Common Search IntentVisa sponsorship for ML rolesVisa sponsorship for data science roles

Both roles require similar educational backgrounds and programming skills, often working in tech-driven environments. The main difference lies in focus: Machine Learning roles emphasize developing algorithms and models, while Data Scientist roles focus on analyzing data and deriving insights. Visa sponsorship processes are comparable, but candidates should tailor their applications to the specific role's requirements.

More about Entry Level Machine Learning Visa Sponsorship jobs
What cities are hiring for Entry Level Machine Learning Visa Sponsorship jobs? Cities with the most Entry Level Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Entry Level Machine Learning Visa Sponsorship jobs? States with the most job openings for Entry Level Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Entry Level Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Entry Level Machine Learning Visa Sponsorship jobs are:
Entry Level Machine Learning Visa Sponsorship jobs near you
Infographic showing various Entry Level Machine Learning Visa Sponsorship job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Software Engineer - Computer Vision & Machine Learning

Software Engineer - Computer Vision & Machine Learning

RFA Engineering

Urbandale, IA • On-site

$70K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

RFA Engineering (www.rfamec.com) 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.

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