2

Remote Machine Learning Visa Sponsorship Jobs in Colorado

Knowledge of satellite remote sensing and experience working with satellite observations. * Experience developing production-quality scientific or machine learning software. * Familiarity with modern ...

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

We are unable to provide visa sponsorship for this position. Applicants must already possess work ... Explore a wide range of learning and growth opportunities within and across industries. * Health ...

Senior Software Engineer - AI Automation & Enterprise Integration Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must have Claude and Java experience ** We are seeking a ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

next page

Showing results 1-20

Remote Machine Learning Visa Sponsorship information

What is a remote machine learning visa sponsorship?

A Remote Machine Learning Visa Sponsorship job is a position in the field of machine learning that allows you to work from any location while the employer supports your application for a work visa. These jobs typically involve developing algorithms and models for tasks such as data analysis, natural language processing, or computer vision. Employers who offer visa sponsorship help qualified international candidates with the legal process required to work in a different country. This can include filing necessary paperwork, covering visa fees, and sometimes assisting with relocation. Remote roles provide flexibility, making it possible to collaborate with international teams without being physically present in the company’s office.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To excel as a Remote Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning frameworks. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of version control systems, is crucial. Strong problem-solving skills, self-motivation, and effective remote communication make candidates stand out in distributed teams. These skills are essential for building robust machine learning models, collaborating across time zones, and delivering results in a dynamic, global work environment.

What are some common challenges faced by remote machine learning engineers working under visa sponsorship, and how can they be addressed?

Remote machine learning engineers on visa sponsorship often face unique challenges such as managing time zone differences with global teams, ensuring effective communication despite cultural and language barriers, and navigating complex legal and administrative visa requirements. Being proactive about clarifying expectations, leveraging collaboration tools, and maintaining regular communication with both team members and HR/legal departments can help address these obstacles. Additionally, staying organized and informed about visa compliance can reduce stress and ensure a smooth employment experience.

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

AspectRemote Machine Learning Visa SponsorshipRemote Data Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, communicating insights to stakeholders
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, e-commerce, consulting firms

Both roles often require advanced degrees and involve working with data, but Machine Learning roles focus more on developing algorithms and models, while Data Scientist roles emphasize data analysis and insights. Visa sponsorship options are similar, but the specific job functions differ slightly.

What are the most commonly searched types of Machine Learning Visa Sponsorship jobs in Colorado?

The most popular types of Machine Learning Visa Sponsorship jobs in Colorado are:

What are popular job titles related to Remote Machine Learning Visa Sponsorship jobs in Colorado?

For Remote Machine Learning Visa Sponsorship jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Visa Sponsorship jobs in Colorado look for?

The top searched job categories for Remote Machine Learning Visa Sponsorship jobs in Colorado are:

What cities in Colorado are hiring for Remote Machine Learning Visa Sponsorship jobs?

Cities in Colorado with the most Remote Machine Learning Visa Sponsorship job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

AMP is applying AI-powered sortation at scale to modernize the world's recycling infrastructure and maximize the value in waste. AMP gives waste and recycling leaders the power to harness AI to reduce labor costs, increase resource recovery, and deliver more reliable operations. With hundreds of deployments across North America, Asia, and Europe, AMP's technology offers a transformational solution to waste sortation and changes the fundamental economics of recycling.

Headquartered in Louisville, Colorado, the Denver Post and BuiltIn Colorado have recognized AMP as one of the state's top workplaces. AMP has operations and career opportunities outside of Atlanta, Cleveland, Portsmouth, Virginia, and Europe. We're fostering an environment where passionate individuals can grow and create impact. We seek unconventional thinkers to join our mission to enable a world without waste; at AMP, your contributions have meaning and can spur change. With backing from top-tier investors and national recognition including North American Cleantech Company of the Year, we're always seeking ways to better our operations, raising the bar on innovation, and looking to collaborate and improve in what we do. Learn more at AMPSortation.com. 

AMP Robotics is hiring a Machine Learning Engineer reporting to the Engineering Manager of Perception to focus on developing our deep learning and other machine learning models and shipping them to production. AMP doesn't just do machine learning, we are driven forward by it. Our core technology revolves around deep-learned models applied to robotics domains, and we are always striving to improve our performance. In pursuit of this, AMP is looking for a highly skilled individual to join our machine learning team and aid in building out cutting edge computer vision technology. In this role, you would be an individual contributor on our perception team, working on deep learning and computer vision research and development projects to help us implement state of the art deep learning techniques, and helping to develop new applications by working hands-on with data, modeling, and evaluation. You would aid in bringing models from ideation all the way through to production, and help us to maintain our technological edge.

As our Machine Learning Engineer, you will work to:

  • Experiment with modern neural network architectures or techniques driven by research publications.
  • Design and implement machine learning perception solutions in new domains.
  • Design and execute experiments to validate R&D deep learning approaches.
  • When experiments have positive results, design a path to production to deliver impact to our facilities.
  • Collaborate with AI Data Team project managers, ML modeling engineers, and Cloud infrastructure engineers.
  • Serve as a subject matter expert for experiment design and statistical modeling for the Software organization, applying these skills to non deep learning projects when relevant.
  • Help us support and improve our ML infrastructure.

The successful candidate will have:

Required:

  • Master's degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience.
  • 4+ years' experience writing production-level code in python.
  • 4+ years of experience implementing statistical models in production environments.
  • Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong familiarity with PyTorch.
  • Strong familiarity with experiment design and experiment execution.
  • Research fluency with a deep learning domain.

Preferred: 

  • 3+ years of experience with deep learning, particularly computer vision.
  • Proficiency with neural network quantization, acceleration, and inference tools, particularly TensorRT.
  • Familiarity and interest in research-level mathematics.
  • Proficiency working with SQL databases and data pipelines.
  • Experience deploying large-scale and small-scale models in low-latency environments.
  • Startup ready mentality.
  • Passion for recycling, robotics and changing the world.

Working Conditions/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at a time.

Remote or Hybrid: 

  • Full-remote with regular travel to AMP's Louisville CO HQ or
  • Hybrid or full time in-office at AMP's Louisville CO HQ

AMP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Applicants who identify with a historically underrepresented group are encouraged to apply. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Other duties: 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

We recognize that there is more to work than the day-to-day responsibilities. In addition to a collaborative, high-performing team environment, we're pleased to offer competitive base salaries; medical, dental and vision insurance; a 401(k) plan; paid time off and sick time; flexible work hours; and the opportunity to quickly accelerate your learning and growth.

Salary & Compensation information: $162,000 to $170,000 

Benefits information:

  • Medical - The company covers up 78% to 100% of the premium for Cigna healthcare plans depending on the selection. Employees pay the difference in premium if they select a more expensive plan. Up to 75% for dependents. 
  • Dental, Vision, Short- and Long-Term Disability.
  • 401(k) retirement plan (non-matching).
  • Flexible Time Off
  • 6 paid sick days.
  • Eight (8) paid holidays