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Online Modelling Jobs (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX ยท On-site

$200 - $250/hr

Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments * Willingness to work 4 day in ...

... modelling - Data scientist need 2 Best Regards Syed Imran Sr Technical Recruiter 224-296-3522 | syed@navtechusa.com NAVTECH INC Disclaimer: We respect your Online Privacy. This e-mail message ...

Plumbing VDC Coordinator

Kissimmee, FL ยท On-site

$25 - $29/hr

Detailed modelling and layout of the Plumbing system using Revit and 3rd Party Plugins * Point ... Attend online coordination meetings as needed Qualifications: High school diploma or equivalent.

NY ยท On-site

$150 - $200/hr

Modelling & quality: dbt, data quality gates * Containers & CI/CD: Docker, Kubernetes, GitHub ... online inference * Partner with ML engineers on feature stores, drift monitoring, and retraining ...

Senior Data Engineer

Virginia, MN ยท On-site

$150 - $200/hr

Modelling & quality: dbt, data quality gates * Containers & CI/CD: Docker, Kubernetes, GitHub ... online inference * Partner with ML engineers on feature stores, drift monitoring, and retraining ...

... most everything ordered on-line is delivered by a Morgan Olson Walk-In Stepvan. Other key ... Perform should-cost modelling for fabricated components. * Make similar-to estimates for new ...

Senior Data Engineer

Manhattan, NY ยท On-site

$150 - $200/hr

Modelling & quality: dbt, data quality gates * Containers & CI/CD: Docker, Kubernetes, GitHub ... online inference * Partner with ML engineers on feature stores, drift monitoring, and retraining ...

... most everything ordered on-line is delivered by a Morgan Olson Walk-In Stepvan. Other key ... Perform should-cost modelling for fabricated components. * Make similar-to estimates for new ...

Cost Engineer

Sturgis, MI ยท On-site

$80 - $100/hr

... most everything ordered on-line is delivered by a Morgan Olson Walk-In Stepvan. Other key ... Perform should-cost modelling for fabricated components. * Make similar-to estimates for new ...

Undergraduate degree and experience with analytical modelling. Position Description: The College of ... Interested individuals are encouraged to attach a current resume or CV with the online application.

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Online Modelling information

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$17.5K

$40.6K

$86K

How much do online modelling jobs pay per year?

As of Sep 9, 2026, the average yearly pay for online modelling in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Modelling jobs?

The most popular types of Modelling jobs are:

What are popular job titles related to Online Modelling jobs?

For Online Modelling jobs, the most frequently searched job titles are:

Infographic showing various Online Modelling job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 34% Part Time, and 2% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $40,596 per year, or $19.5 per hour.

Senior Machine Learning Engineer

Austin, TX โ€ข On-site

Rokt
Software Developmentย โ€ขย 501 - 1,000 employees

$200 - $250/hr

Other

Re-posted 24 days ago


Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments
  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN
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