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Lead Ai Scientist Jobs (NOW HIRING)

FWI & AI Scientist

Houston, TX · On-site

$125 - $150/hr

Job Title FWI & AI Scientist Responsibilities ... Lead the development of the FWI Foundation Model. Design and scale a generalizable hybrid ...

Applied AI Scientist About Ent Ent is the intent-aware workspace security platform for securing ... A problem solver, who will lead state-of-the-art research and development by incorporating and ...

Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict ...

Lead systematic experimentation across prompts, agents, model variants, and tool configurations ... agentic AI best practices across the team. * Mentor junior scientists on experimentation ...

$125 - $150/hr

Their findings resulted in AlphaLife Sciences, a pioneer in the fusion of life sciences and AI ... You will lead a small team of AI engineers, provide technical guidance, and help turn ...

Lead systematic experimentation across prompts, agents, model variants, and tool configurations ... agentic AI best practices across the team. * Mentor junior scientists on experimentation ...

Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict ...

$150 - $200/hr

Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine ... that lead to high‑quality, informed decision‑making and program progression * Deliver and ...

Lead AI Engineer

Tarrytown, NY · On-site

$108K - $142K/yr

Lead AI Engineer Department: Digital Transformation - AI Strategy & Execution Location: Sleepy ... Our commitment to scientific excellence, cutting-edge technology, and patient impact has positioned ...

Lead AI Engineer

Sleepy Hollow, NY · On-site

$108K - $142K/yr

Lead AI Engineer Department: Digital Transformation - AI Strategy & Execution Location: Sleepy ... Our commitment to scientific excellence, cutting-edge technology, and patient impact has positioned ...

We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting‑edge Generative AI and LLM‑powered systems for real‑world, high‑impact applications. This is a ...

Overview Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand ...

Lead AI Engineer

Tarrytown, NY · On-site

$108K - $142K/yr

Lead AI Engineer Department: Digital Transformation - AI Strategy & Execution Location: Sleepy ... Our commitment to scientific excellence, cutting-edge technology, and patient impact has positioned ...

Showing results 41-60

Lead Ai Scientist information

See salary details

$27K

$112.7K

$200.5K

How much do lead ai scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for lead ai scientist in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a Lead AI Scientist?

Lead AI Scientists are senior professionals who guide the research, development, and implementation of artificial intelligence solutions within an organization. They oversee teams of data scientists and machine learning engineers, set project directions, and ensure that AI models align with business goals. Their responsibilities often include designing innovative algorithms, evaluating new technologies, and mentoring junior staff. Lead AI Scientists typically have advanced degrees and extensive experience in AI, machine learning, or related fields.

What are the key skills and qualifications needed to thrive as a Lead AI Scientist?

To thrive as a Lead AI Scientist, you need advanced expertise in machine learning, deep learning, statistics, and computer science, typically supported by a PhD or master's degree in a relevant field. Mastery of programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with cloud platforms are essential, along with familiarity with research methodologies. Leadership, collaboration, and strong communication skills are crucial for guiding teams and translating complex concepts to stakeholders. These competencies are vital for driving innovation, leading research initiatives, and delivering impactful AI solutions within organizations.

How does a Lead AI Scientist typically collaborate with cross-functional teams during project development?

A Lead AI Scientist often works closely with data engineers, software developers, and business stakeholders to ensure AI models align with project goals and are successfully integrated into production systems. They are responsible for translating business problems into technical requirements, guiding model development, and reviewing results with both technical and non-technical team members. Effective communication and regular meetings are crucial to address challenges, share progress, and iterate on solutions. This collaborative environment helps ensure that AI solutions deliver real value and meet organizational needs.

What is the difference between Lead Ai Scientist vs Data Scientist?

AspectLead Ai ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related field; extensive experience in AI/MLBachelor's or Master's in Data Science, Statistics, or related field; some experience in data analysis
Work EnvironmentLeading AI projects, developing advanced models, collaborating with cross-functional teamsAnalyzing data, building models, generating insights, supporting decision-making
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

The Lead Ai Scientist typically holds a senior role focused on leading AI initiatives, developing complex models, and guiding teams. In contrast, Data Scientists focus on analyzing data, building models, and providing insights. While both roles require strong technical skills, the Lead Ai Scientist often has more experience and responsibilities in AI development and strategy.

More about Lead Ai Scientist jobs
Infographic showing various Lead Ai Scientist job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

FWI & AI Scientist

Onesubsea

Houston, TX • On-site

$125 - $150/hr

Other

Posted 20 days ago


Job description

Job Title

FWI & AI Scientist

Responsibilities
  • Lead the development of the FWI Foundation Model.

    Design and scale a generalizable hybrid physics‑AI foundation model on real seismic datasets.

    Propose advanced techniques including AI‑assisted velocity model building, learned regularization and preconditioning, cycle‑skipping mitigation, and accelerated forward modeling/gradient computation.

    Scale implementations for GPU clusters, HPC systems, and large-scale 3D datasets.

  • Integrate AI into FWI and imaging pipelines.

    Seamlessly embed AI components into existing Full Waveform Inversion and seismic imaging workflows.

    Promote best practices in scientific software development and ML lifecycle management.

  • Validate, deploy, and drive business impact.

    Validate solutions on field data in complex geological settings and establish clear performance, robustness, and risk metrics.

    Collaborate with stakeholders to ensure geological accuracy and commercial relevance.

    Mentor the team on FWI fundamentals while driving adoption of modern AI/ML techniques.

Required Qualifications
  • PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience.
  • Deep expertise in Full Waveform Inversion, seismic wave propagation, and inverse problems.
  • Prior hands‑on industry experience in subsurface imaging is a plus.
  • Track record of developing and delivering production‑grade scientific software in HPC or cloud environments, including data pipeline and imaging algorithm.
Preferred Qualifications
  • Expertise in physics‑informed machine learning, learned solvers, or neural surrogate models.
  • Proven success applying deep learning to physics‑based modeling and simulation.
  • Experience deploying ML models at scale (lifecycle management, monitoring, reproducibility).
  • Track record of high‑impact publications, patents, or industrial innovations.
  • Strong Python programming skills with hands‑on experience in PyTorch or JAX.
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