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H1B Machine Learning Jobs in Utah (NOW HIRING)

Have experience with or a strong interest in machine learning, especially LLMs (Large Language ... Please note that at this time, the company does not sponsor visas or accommodate H1B transfers. Why ...

H1B Machine Learning information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer on an H1B visa, and why are they important?

To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.

What are some common challenges H1B Machine Learning professionals face when adapting to a new work environment in the U.S.?

H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.

What is an H1B Machine Learning job?

An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.

What is the difference between H1B Machine Learning vs H1B Data Scientist?

AspectH1B Machine LearningH1B Data Scientist
Required CredentialsDegree in CS, ML, or related field; certifications like TensorFlow, AWSDegree in CS, Statistics, or related; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsBusiness analytics, data analysis teams, consulting firms
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, e-commerce, consulting
Common Search & ComparisonYesYes

H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.

What are popular job titles related to H1B Machine Learning jobs in Utah? For H1B Machine Learning jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for H1B Machine Learning jobs? Cities in Utah with the most H1B Machine Learning job openings:

Software Engineer

Altitude AI

Salt Lake City, UT • On-site

Full-time

Posted 11 days ago


Job description

Software Engineer - Full-Time, On-Site

Location: Downtown Salt Lake City, UTCompany: Altitude AI

Altitude AI, the leading Generative AI platform for the industrial world, is excited to announce an opening for a Software Engineer position. This role is a unique opportunity to join a groundbreaking company that is set to transform the industrial automation landscape. As pioneers in turning complex engineering drawings and specifications into actionable, automated solutions, we offer a chance to work at the forefront of AI technology that interfaces directly with real-world hardware systems.

Join our team of high-caliber experts, including veterans from Google, BYU, and top AI startups, all led by a former Waymo engineer and Princeton CS alum. This full-time position is based in our downtown Salt Lake City office and requires on-site collaboration. Ideal candidates should be prepared to engage deeply with both software engineering and advanced AI in a dynamic start-up environment.

Duties and Responsibilities
  • Generative AI & Code Synthesis: Design and develop state-of-the-art AI models that automatically generate PLC (Ladder, Structured Text, SFC) and robot programs from engineering drawings and natural language inputs.
  • Industrial System Integration: Create software solutions that seamlessly integrate with leading industrial automation systems, such as Studio 5000, TIA Portal, and Roboguide.
  • Vision & Data Extraction: Improve and innovate on algorithms that extract critical data from mechanical and electrical drawings for use in automation.
  • Tooling & Infrastructure: Develop internal tools and infrastructure that support the testing and deployment of AI-generated automation logic and control sequences.
  • Interactive AI Development: Lead projects to build interfaces that allow human engineers to synergize with AI, enhancing the precision and adaptability of complex automation processes.
Requirements
  • Exceptional Engineering Skills: Possess high proficiency in programming languages such as Python.
  • AI/ML Familiarity: Have experience with or a strong interest in machine learning, especially LLMs (Large Language Models) and code generation technologies.
  • Problem Solver: Demonstrated ability to manage and interpret unstructured data sets, including spreadsheets, PDFs, and CAD files.
  • Ownership Mentality: Thrive in a fast-paced start-up environment with a proactive attitude and an aptitude for taking full ownership of product features from planning to rollout.
  • Industrial Experience (Plus): Previous experience in industrial automation, PLC programming, or robotics is considered a significant advantage.
  • Work Authorization: Must be legally authorized to work in the United States. Please note that at this time, the company does not sponsor visas or accommodate H1B transfers.
Why Altitude AI?

Work alongside a world-class team that is behind some of the biggest innovations in robotics and automation at companies like Waymo and Google. At Altitude AI, your work will have a direct impact on global industries—from automotive to food processing. Enjoy the vibrant lifestyle and outdoor activities that come with our prime location in Salt Lake City, all while having a stake in a venture-backed company poised to solve key challenges in infrastructure and automation.