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Overnight Machine Learning Visa Sponsorship Jobs

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Chefman is unable to provide visa sponsorship for this position. Candidates must be legally ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Current legal authorization to work in the US required; continuing work visa sponsorship available ...

Blue River Technology

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

Summary We are seeking a highly skilled and innovative Machine Learning Engineer to join the team ... Visa sponsorship : Open to visa sponsorship. Job Responsibilities A combination, not necessarily ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

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Overnight Machine Learning Visa Sponsorship information

What is an overnight machine learning visa sponsorship job?

An Overnight Machine Learning Visa Sponsorship job refers to positions in machine learning or artificial intelligence that require overnight or late-shift work hours and are open to candidates who need an employer-sponsored visa to work legally in the country. These jobs often involve maintaining, monitoring, or updating AI systems during nighttime hours, ensuring continuous operations. Visa sponsorship means the employer is willing to support the candidate's application for a work visa, which is essential for non-citizens seeking employment in another country.

What are the unique challenges faced by machine learning engineers working overnight shifts, and how can they be managed?

Machine learning engineers working overnight may encounter challenges such as maintaining effective communication with day-shift colleagues, managing fatigue, and ensuring continuous system monitoring. To mitigate these, it's important to establish clear documentation practices, participate in handoff meetings, and use collaboration tools that support asynchronous updates. Additionally, maintaining a healthy sleep schedule and leveraging automation for routine tasks can help manage workload and reduce errors during overnight hours.

What key skills and qualifications are needed to thrive as a machine learning engineer working overnight shifts with visa sponsorship, and why are they important?

To thrive as a Machine Learning Engineer in an overnight role with visa sponsorship, you need a solid background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree. Familiarity with tools like Python, TensorFlow or PyTorch, and experience using cloud platforms such as AWS or Google Cloud are commonly required, along with any necessary work authorization or visa documentation. Strong problem-solving skills, adaptability to shifting priorities, and effective communication help you excel in a remote or overnight environment. These skills and qualities are vital to efficiently develop, deploy, and maintain machine learning systems while meeting employer and legal requirements.

What cities are hiring for Overnight Machine Learning Visa Sponsorship jobs?

Cities with the most Overnight 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 Overnight Machine Learning Visa Sponsorship jobs?

States with the most job openings for Overnight Machine Learning Visa Sponsorship jobs include:

Overnight Machine Learning Visa Sponsorship jobs near you

Machine Learning Engineer

Sunnyvale, CA

Institute of Foundation Models
See more jobs at Institute of Foundation Modelsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Key Responsibilites
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
 
Professional Experience - Minimum
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
Professional Experience - Preferred
  • 2 years of experience with improving performance during large scale data processing
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
  • Excellent data analysis skills.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability