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Overnight Machine Learning Visa Sponsorship Jobs

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

Visa

Machine Learning Engineer- Senior Consultant Level

Austin, TX · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and ...

Visa

Machine Learning Engineer- Senior Consultant Level

Austin, TX · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and ...

Escalon

Machine Learning Engineer

Santa Monica, CA · On-site

$100K - $120K/yr

  • Medical

  • PTO

The Role Our client is seeking a Machine Learning Engineer to help design and implement intelligent ... Visa sponsorship is not available for this role at this time. * Candidates must reside within a ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... 1099; no visa sponsorship) Compensation: Competitive depending on qualifications Company ...

PROPRIUS

Machine Learning Engineer

San Francisco, CA · On-site

San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML ...

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Showing results 41-60

All JobsMachine Learning Visa Sponsorship JobsOvernight Machine Learning Visa Sponsorship Jobs

Overnight Machine Learning Visa Sponsorship information

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 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 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 - World Model

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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 Team
We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models-the next-generation foundation models to unlock machine intelligence beyond lingual.
Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.
Role Overview
  • We're looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You'll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows.

  • This role balances fast-moving research needs with production-grade systems, ensuring that experimental work can scale reliably when needed.

Key Responsibilities
  • Design, build, and operate scalable ML infrastructure on AWS (e.g., compute, storage, networking, access control).

  • Develop and maintain MLOps workflows for data versioning

  • Build and manage distributed systems for large-scale data processing (filtering, captioning, etc.) and model evaluation.

  • Own architecture decisions for ML infrastructure and drive best practices in reliability, scalability, and cost efficiency.

  • Implement observability across systems, including monitoring, logging, and alerting.

  • Integrate OpenWebUI, Gradio, or similar UIs for data quality assurance

  • Build and maintain dashboards for experiment tracking and system health.

  • Partner closely with researchers to translate experimental workflows into robust, scalable systems.

Qualifications
Must-Haves
  • 3+ years of experience in MLOps, ML infrastructure, or related backend/platform engineering roles.

  • Strong experience with cloud platforms (preferably AWS) and core services for compute, storage, and access control.

  • Experience designing and operating distributed systems (e.g., Kubernetes, Ray, or similar frameworks).

  • Solid software engineering skills, including system design, debugging, and testing (Python, Docker, Git).

  • Familiarity with data processing and pipeline orchestration tools (e.g., Spark, Kafka, or similar).

  • Experience with observability practices (monitoring, logging, alerting).

  • Ability to work closely with researchers and translate ambiguous requirements into production-ready systems.

Nice-to-Haves
  • Experience in fast-paced or research-driven environments.

  • Experience with large-scale video or multimodal data pipelines.

  • Experience building automated model evaluation or benchmarking systems.

  • Knowledge of cost optimization, security, and networking in multi-tenant environments.

  • Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code)

$150,000 - $450,000 a year
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

Apply