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Senior Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Klaviyo

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

Sr. Machine Learning Engineer Palo Alto, CA (Onsite 5x a week) At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize ...

3B Staffing LLC

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

Talanto

Senior Machine Learning Engineer

San Francisco, CA · On-site

$150 - $250/hr

Senior Machine Learning Engineer * Location: Remote * Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $150 ...

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Talanto

$150 - $250/hr

Senior Machine Learning Engineer * Location: Remote * Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $150 ...

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Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

Veryfi

Sr. Machine Learning Engineer

San Mateo, CA · On-site

$139K - $184K/yr

Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into ...

Prosum Inc.

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret Clearance (Must) As a consultant, will be working to ...

Klaviyo Inc.

$196 - $294/hr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting‑edge ...

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Senior Machine Learning Visa Sponsorship information

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$99K

$167K

How much do senior machine learning visa sponsorship jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior machine learning visa sponsorship in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with ML frameworksDegree in CS, statistics, or related; proficiency in data analysis tools
Work EnvironmentResearch labs, AI startups, tech companies focusing on ML projectsBusiness analytics, data analysis teams across industries
Employer & Industry UsageTech firms, AI companies, research institutionsFinance, healthcare, marketing, and tech sectors

While both roles require strong technical skills and relevant degrees, Senior Machine Learning roles focus on developing advanced ML models, whereas Data Scientist roles emphasize data analysis and insights. Visa sponsorship processes are similar, but the job focus and required expertise differ slightly.

More about Senior Machine Learning Visa Sponsorship jobs

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Senior Machine Learning Visa Sponsorship jobs near you
Infographic showing various Senior Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Machine Learning Engineer

Klaviyo

Palo Alto, CA • On-site

$144K - $189K/yr

Full-time

Posted 5 days ago

Job description

Sr. Machine Learning Engineer

Palo Alto, CA (Onsite 5x a week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000+ customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. Machine Learning Engineer at Klaviyo, you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, recommender systems, language modeling, and more to integrate artificial intelligence into our product and bring customers value. You will need to deep dive into the product and the code to understand and contribute to solutions with your technical knowledge and experiences. You will be working with partners in Engineering, Product, and Design to solve challenging problems, and talking to stakeholders and customers firsthand.

Things you'll do & make a difference

  • Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers
  • Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
  • Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
  • Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
  • Work in high impact environments with fast experimentation and product development cycles

What we are looking for:

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
  • Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
  • Experience leading technical projects and working with engineering teams and product managers successfully to deliver customer-facing features
  • Experience of developing and putting machine learning models into production, while also owning and maintaining production models long term
  • Experience owning the full product lifecycle of ML development, including defining success metrics, designing and analyzing A/B tests, and iterating based on result
  • Experience mentoring others

Nice to have:

  • Experience with recommendation systems, including designing, training, and deploying recommendation models, as well as building retrieval and ranking systems.
  • Experience working in B2B businesses and interacting with customers directly
  • Experience developing technical roadmaps for solving complex business problems using Machine Learning
  • Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.

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