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Staff Applied Research Scientist, Tech Lead

Vantor

Remote · USFull-time$150–220K/yrPosted 2 days agoStill listed today

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At a glance

Compensation
$150–220K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Vantor is hiring a Staff Applied Research Scientist and Tech Lead to build and deploy machine learning systems in production. The role calls for end-to-end ML pipeline design and delivery, deep learning development, and collaboration across research, engineering, and product teams. The company prefers experience with geospatial data, foundation models, Google Cloud Platform, and model monitoring. Applicants must meet the stated U.S. Person eligibility requirement.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning Systems, requiredEnd-to-End ML Pipelines, requiredData Processing, requiredTraining Automation, requiredEvaluation Frameworks, requiredScalable Inference, requiredDeep Learning, requiredDistributed Training, requiredModel Optimization, requiredCross-Functional Collaboration, requiredGeospatial Data, nice to haveRemote Sensing, nice to haveSatellite Imagery, nice to haveEarth Observation, nice to haveFoundation Models, nice to haveMultimodal Models, nice to haveAgentic AI, nice to haveGoogle Cloud Platform, nice to haveModel Monitoring, nice to haveAutomated Retraining, nice to haveOpen-Source AI, nice to haveResearch Publications, nice to havePatent Contributions, nice to have

Qualifications

MS or PhD in Related Field or Equivalent, required5+ Years ML Systems Experience, requiredU.S. Person, required

Benefits

401(k) Match

Full job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Minimum Qualifications

  • MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field, or equivalent practical experience.

  • 5+ years of experience building and deploying machine learning systems in production environments.

  • Demonstrated experience designing and delivering end-to-end ML pipelines, including data processing, training automation, evaluation frameworks, and scalable inference.

  • Hands-on experience developing and deploying deep learning models, particularly in one or more of the following areas:

  • Familiarity with distributed training, large-scale data processing, and model optimization techniques.

  • Ability to collaborate across research, engineering, and product teams to bring advanced AI capabilities into real-world applications.

Preferred Qualifications

  • Experience working with geospatial data, remote sensing, satellite imagery, or Earth observation systems.

  • Experience building or fine-tuning foundation models, multimodal models, or agentic AI systems.

  • Familiarity with Google Cloud Platform (GCP), including large-scale AI/ML infrastructure.

  • Experience implementing model monitoring, evaluation pipelines, and automated retraining systems.

  • Contributions to open-source AI projects, research publications, or patents.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

  • The base pay for this position within Colorado is: $150,000.00 - $200,000.00 - $220,000.00 annually.

  • The base pay for this position within New Jersey is: $150,000.00 - $200,000.00 - $220,000.00 annually.

  • The base pay for this position within Delaware is: $150,000.00 - $200,000.00 - $220,000.00 annually.

  • The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually.

  • The base pay for this position within California is: $150,000.00 - $200,000.00 - $220,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

How this job compares

Set against the 519 open Machine Learning Scientist jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$150–220K/yr
  • US median$143–235K/yr475 salary ranges

This range's midpoint, $185K, is 5% below the US median midpoint ($195K) — in the middle half of Machine Learning Scientist salary ranges across the US.

Openings
Olive Jobs lists 519 open Machine Learning Scientist jobs across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 5 years of experience; Machine Learning Scientist postings that state a minimum ask for 3 years at the median (435 postings).
Education
116 of the 519 open Machine Learning Scientist jobs (22%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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