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Computer Vision Research Lead Scientist Jobs (NOW HIRING)

NY ยท On-site

$80K - $150K/yr

... Lead Scientist Qualifications / Requirements * MS + 2 years' experience in Computer Science ... Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable ...

$82K - $97K/yr

Join the team building computer vision applications for the construction trades. Contractors spend ... Practical mindset -- you read the research, but your focus is on shipping working code

Computer Vision R&D Engineer

San Diego, CA ยท On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be ... lead and create ideas, with the mindset that innovation can happen by anyone and anywhere ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

... research agenda for fundamental computer vision capabilities and drive the culture of scientific ... Proactively identify and mitigate significant technical risks, and lead critical engineering ...

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Computer Vision Research Lead Scientist information

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$24K

$104.3K

$150K

How much do computer vision research lead scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision research lead scientist in the United States is $104,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Computer Vision Research Lead Scientist jobs?

For Computer Vision Research Lead Scientist jobs, the most frequently searched job titles are:

Infographic showing various Computer Vision Research Lead Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $104,262 per year, or $50.1 per hour.

Lead Scientist - AI & Computer Vision - Aerospace Research

NY โ€ข On-site

$80K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Job Description Summary

As a Lead Scientist โ€“ AI, you will:



  • Design experiments that probe the limits of whatโ€™s possible in learning systems for real problems โ€”and learn fast from the results

  • Build, analyze, and refine AI/CV algorithms inspired by both theory and data

  • Prototype novel systems that move from simulation to lab to flight-relevant environments

  • Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management


Youโ€™ll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. Youโ€™ll also contribute to government-sponsored research with world-class partners in academia and federal agenciesโ€”work that shapes the field and accelerates the Future of Flight.


Roles and Responsibilities

  • Work within teams of researchers on new and continuing projects

  • Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices

  • Implement and analyze prototypes and solutions for real-world problems

  • Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions

  • Collaborate with GE Aerospaceโ€™s other AI / CV experts to define and pursue strategic advancement of new technologies

  • Publish novel findings in scientific workshops, conferences, and journals

  • Create intellectual property by writing invention disclosures and filing patents

  • Develop in technical and leadership skills in preparation for future work as an Advanced Lead Scientist


Qualifications / Requirements

  • MS + 2 years' experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision

  • Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems

  • Candidate must be willing to travel a minimum of 2 weeks per year

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.


Ideal Candidate Characteristics

  • Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference, Reinforcement Learning, Vision Language Models

  • Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR

  • Industrial experience inventing and developing new AI / CV technologies

  • Willing to relocate to work out of an office located in Niskayuna, NY


Base Pay

The base pay range for this position is $80,000 - $150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidateโ€™s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on September 10, 2026.


Benefits

  • Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services.

  • Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants.

  • Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid timeโ€‘off for vacation or illness.


GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing.


Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.


GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).


GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a \"Sponsor\"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsorโ€™s welfare benefit plan or program.


Relocation Assistance Provided

Yes. At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a worldโ€‘leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industryโ€‘leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.

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