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Inverse Jobs (NOW HIRING)

StackandCo

C++ Developer

Galway, NY · On-site

$49.75 - $67/hr

Experience implementing animation and rendering techniques like inverse kinematics, shaders and blend\-shapes \n * Experience scripting 3D tools to automate tasks \n \n \n \n \n \n

Spotter

Machine Learning Scientist

Culver City, CA

Applying offline policy evaluation and counterfactual techniques, such as inverse propensity scoring, doubly robust estimation, and replay evaluation, to reason about model changes before and after ...

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How much do inverse jobs pay per year?

As of Aug 11, 2026, the average yearly pay for inverse in the United States is $72,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What is an inverse?

Inverse jobs refer to positions at Inverse, a digital media company that covers topics in science, innovation, entertainment, and technology. Employees at Inverse work in areas such as journalism, editorial, video production, audience development, and digital marketing. The company values curiosity, creativity, and a passion for storytelling about the future and cutting-edge subjects. Roles at Inverse are ideal for individuals who enjoy exploring new scientific discoveries, pop culture, and technological trends. Working at Inverse offers opportunities to contribute to a dynamic team and create engaging content for a diverse audience.

What is the difference between Inverse vs Data Analyst?

AspectInverseData Analyst
Required CredentialsTypically requires a degree in mathematics, statistics, or related fieldsRequires a degree in statistics, data science, or related fields
Work EnvironmentOften in research, academia, or specialized industriesCommonly in business, finance, healthcare, and tech companies
Employer & Industry UsageUsed in scientific research, academia, and technical fieldsUsed across various industries for data interpretation and decision-making

Inverse and Data Analyst roles share overlapping skills in data handling and analysis, but they differ in focus. Inverse roles often emphasize theoretical or mathematical problem-solving, while Data Analysts focus on interpreting data to inform business decisions. Both require strong analytical skills and relevant credentials, but their work environments and industry applications vary.

What are some typical challenges faced by an inverse compositor and how can they be overcome?

Inverse Compositors often face challenges such as integrating multiple visual elements seamlessly, managing tight deadlines, and ensuring visual consistency across scenes. Collaboration with other departments, such as lighting and 3D modeling, is essential to address inconsistencies and maintain the desired visual style. Staying organized with file structures and using industry-standard software tools can help streamline the workflow and improve efficiency. Ongoing communication with supervisors and peers is key to successfully navigating these challenges and producing high-quality results.

What are the key skills and qualifications needed to thrive as an inverse?

The job title 'Inverse' does not correspond to a recognized real-world professional occupation, so specific skills, qualifications, and requirements cannot be accurately provided.
More about Inverse jobs
What cities are hiring for Inverse jobs? Cities with the most Inverse job openings:
What states have the most Inverse jobs? States with the most job openings for Inverse jobs include:
What job categories do people searching Inverse jobs look for? The top searched job categories for Inverse jobs are:
Inverse jobs near you
Infographic showing various Inverse job openings in the United States as of August 2026, with employment types broken down into 44% Full Time, 54% Part Time, and 2% Contract. Highlights an 43% Physical, 2% Hybrid, and 55% Remote job distribution, with an average salary of $72,500 per year, or $34.9 per hour.

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Howard Hughes Medical Institute (HHMI) is investing significantly to support AI-driven projects in scientific research. The AI Engineer role involves developing AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, collaborating closely with experts across multiple institutions.
Responsibilities:
• Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
• Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
• Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
• Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
• Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
• Collaborate with interdisciplinary teams across multiple institutions.
Qualifications:
Required:
• Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
• 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
• Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
• Rigorous experimental design: model comparisons, ablation studies, reproducibility.
• Commitment to open science.
• Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
• Excellent communication skills and keen interest in working in a truly interdisciplinary environment.
Preferred:
• Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
• Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
• Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
• Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
• Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.
Company:
Founded in 1953, HHMI invests in scientists at all career stages who make discoveries that advance human health and our fundamental understanding of biology. Founded in 1953, the company is headquartered in Chevy Chase, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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