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Force Field Researcher Developer Jobs (NOW HIRING)

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UX Researcher

Richardson, TX · On-site

$40/hr

... field research, then transform findings into actionable insights that drive product strategy and user-centered design. You will partner closely with Product Managers, UX Designers, Engineers, and ...

Air Force Historical Research Agency

$74K - $97K/yr

Summary The primary purpose of this position is to serve as Archivist at Headquarters Air Force Historical Research Agency, an Air Force Field Operating Agency (FOA). Responsible for performing the ...

IMC B.V.

Quantitative Researcher - Futures

Chicago, IL · On-site

$250K - $300K/yr

Collaborate with developers, traders, and fellow researchers to design and implement a robust ... Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon ...

UAB

RESEARCHER

Tampa, FL · On-site

Masters or Bachelors Degree in Science or Material Engineering or similar field. * Independent judgment: Ability to make sound decisions, prioritize work, and take ownership of research activities.

UAB NOVA RENT

RESEARCHER

Birmingham, AL · On-site

Masters or Bachelors Degree in Science or Material Engineering or similar field. * Independent judgment: Ability to make sound decisions, prioritize work, and take ownership of research activities.

KBR, Inc.

Fielded Force Analyst

Colorado Springs, CO · On-site

$140K - $170K/yr

KBR's National Security Solutions team provides high-end engineering and advanced technology ... Master of Science degree in operations research, data science, or related technical field * 6-10 ...

KBR

Fielded Force Analyst

Colorado Springs, CO · On-site

$140K - $170K/yr

KBR's National Security Solutions team provides high-end engineering and advanced technology ... Master of Science degree in operations research, data science, or related technical field * 6-10 ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

The firm is looking for Quantitative Researchers covering Equities, Futures/D1 or Options trading ... in a numerate field. Previous successful candidates have degrees in Engineering, Physics ...

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Force Field Researcher Developer information

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$30K

$113.1K

$164.5K

How much do force field researcher developer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for force field researcher developer in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Force Field Researcher Developer?

A Force Field Researcher Developer is a scientific professional who designs, develops, and improves force fields used in computational simulations, particularly in molecular dynamics and materials science. Force fields are mathematical models that describe the potential energy of a system of particles, such as atoms and molecules. These experts work on parameterizing and validating the force fields to ensure accurate simulations of physical, chemical, or biological processes. Their work is crucial in fields like drug discovery, materials engineering, and biochemistry, where understanding molecular interactions is essential.

What are the key skills and qualifications needed to thrive as a force field researcher developer?

To thrive as a Force Field Researcher Developer, you need a strong background in physics, materials science, and engineering, typically supported by advanced degrees such as a master's or PhD in a related field. Experience with simulation software, laboratory instrumentation, and programming languages like Python or MATLAB is often required. Creative problem-solving, collaboration, and effective communication are crucial soft skills for driving innovation and sharing complex concepts with interdisciplinary teams. These skills are essential for advancing research, designing experimental methods, and turning theoretical concepts into viable technological solutions.

What are some common challenges faced by force field researcher developers when collaborating with multidisciplinary teams?

Force Field Researcher Developers often work alongside computational chemists, software engineers, and data scientists. One common challenge is bridging the knowledge gap between theoretical concepts and practical implementation, especially when translating complex physical models into efficient code. Effective communication is essential to ensure that scientific requirements are accurately captured in software development. Additionally, maintaining code quality and reproducibility while innovating on new force field methodologies can require careful project management and documentation.

What is the difference between Force Field Researcher Developer vs Force Field Analyst?

AspectForce Field Researcher DeveloperForce Field Analyst
Required CredentialsBachelor's or higher in physics, engineering, or related fields; technical certificationsSimilar educational background; often includes certifications in data analysis or modeling
Work EnvironmentResearch labs, development centers, or technical teamsData analysis environments, consulting firms, or research institutions
Employer & Industry UsageResearch institutions, tech companies, defense agenciesConsulting firms, government agencies, research organizations
Common Search & ComparisonFocuses on development and technical implementationEmphasizes analysis and interpretation of force field data

While both roles involve understanding force fields, the Force Field Researcher Developer primarily focuses on developing and implementing force field technologies, whereas the Force Field Analyst concentrates on analyzing data related to force fields to inform decisions or research outcomes.

What are popular job titles related to Force Field Researcher Developer jobs?

For Force Field Researcher Developer jobs, the most frequently searched job titles are:

Infographic showing various Force Field Researcher Developer job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Research Scientist --Generative AI for Materials Discovery

Redmond, WA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$154K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Develop, train, and deploy generative models for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction.

  • Collaborate with computational chemists and AI agent scientists to integrate modeling workflows with experimental validation and autonomous discovery systems.

  • Curate, preprocess, and manage large-scale molecular and crystal structure datasets for training, benchmarking, and evaluation.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta’s Reality Labs Research (RL-R) brings together a team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). The Materials and Systems Innovation (MSI) group within Reality Labs Research creates and accelerates breakthrough materials and device technologies that unblock the path to low-cost, all-day wearable AR devices and advanced sensing and actuating systems for robotics. We identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams.In this role, you will pioneer the application of generative AI to design novel compounds and molecular crystals, directly accelerating the discovery of next-generation materials for AR/VR devices and advanced robotic systems. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models — including diffusion models, flow matching, and transformer-based architectures — that predict and generate stable crystal structures and molecular candidates with target properties. Your work will be tightly integrated into our AI-driven autonomous discovery platform, collaborating with computational chemists and AI agent scientists to close the loop from molecular design to experimental validation.Together, we are going to build advanced prototypes, technologies, and toolsets that can advance how people interact with their surroundings. We invite you to join us as we work to bring these technologies from research to reality.
AI Research Scientist —Generative AI for Materials Discovery Responsibilities:
  • Develop, train, and deploy generative models (diffusion models, flow matching, variational autoencoders, transformer-based architectures) for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction (CSP)
  • Design and implement reinforcement learning and alignment strategies (e.g., physics-informed reward signals from machine-learned interatomic potentials) to steer generative models toward physically stable and synthesizable candidates
  • Build foundational models and scalable pretraining pipelines that unify generative and predictive learning across molecules and crystalline materials, handling both discrete atom types and continuous 3D geometries
  • Collaborate closely with computational chemists to integrate first-principles calculations (DFT, force fields), molecular dynamics simulations, and domain-specific constraints into generative workflows
  • Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based multi-agent systems, enabling closed-loop autonomous experiment planning, candidate generation, and decision making
  • Curate, preprocess, and manage large-scale molecular and crystal structure datasets for model training and benchmarking
  • Establish rigorous evaluation frameworks — measuring validity, novelty, uniqueness, stability, and synthesizability of generated structures — and benchmark against state-of-the-art methods
  • Contribute to the architecture and roadmap of the autonomous materials-discovery platform, ensuring generative design modules interface seamlessly with robotic workcells, characterization instruments, and data infrastructure

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. degree in Machine Learning, Computational Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related technical field
  • 3+ years of research experience in generative modeling applied to molecular systems, crystal structures, or materials science (academic or industry)
  • Familiarity with large-scale molecular and crystal databases and data processing pipelines for chemical data
  • Demonstrated expertise in deep generative models — including diffusion models, flow matching / continuous normalizing flows, variational autoencoders, or autoregressive models — with applications to 3D molecular or crystal structure generation
  • Programming proficiency in Python with hands-on experience in PyTorch or JAX
  • proficiency in building, training, and evaluating large-scale deep learning models
  • Track record of first-author publications in top-tier ML or computational chemistry venues (e.g., NeurIPS, ICML, ICLR, JACS, Nature Computational Science, Digital Discovery)
  • Solid understanding of crystallography fundamentals— and molecular representations (molecular graphs, SMILES, 3D conformers)

Preferred Qualifications:
  • Experience integrating ML models into agentic AI frameworks or LLM-based multi-agent systems for autonomous scientific discovery
  • Hands-on experience with computational chemistry tools and simulation frameworks (DFT codes such as VASP/Gaussian, molecular dynamics with LAMMPS/OpenMM/ASE, force field development)
  • Experience with crystal structure prediction (CSP) pipelines, including lattice energy ranking and structure relaxation using machine-learned interatomic potentials
  • Demonstrated ability to collaborate across disciplines — bridging ML research with experimental chemistry, materials science, and software engineering teams
  • Experience building or fine-tuning foundation models (100M+ parameters) for chemical or materials domains, including multimodal architectures that jointly handle molecular graphs, 3D coordinates, and periodic lattice structures
  • Knowledge of geometric deep learning, equivariant neural networks, or graph neural networks for molecular property prediction
  • Familiarity with reinforcement learning or RLHF-style alignment techniques applied to molecular or materials generation

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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