PhysicsX · 1 day ago
Research Scientist
Manhattan, NY
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $240K/yr
2+ years expPhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Research Scientist will work with machine learning engineers and simulation engineers to translate engineering challenges into mathematical formulations and build predictive models using advanced machine learning techniques.
AI InfrastructureArtificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations
Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques
Own Research work-streams at different levels, depending on seniority
Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems
Collaborate with colleagues beyond the research team to translate your models into production-ready code
Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences
Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor
Qualification
Required
PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.)
Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering
Ability to scope and effectively deliver projects
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills — with teams and customers alike
Ideally, >2 years of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; combining theoretical reasoning with empirical intuition to guide investigation; formulating and running experiment pipelines to benchmark models and produce comparable results; writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience
Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR
Benefits
Equity options – share in our success and growth.
5% 401(k) match – invest in your future.
Flexible working – balance your work and life in a way that works for you.
Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
Enhanced parental leave – support for life’s biggest milestones.
Private healthcare – comprehensive coverage for you and your family.
Personal development – access learning and training to help you grow.
Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
Company
PhysicsX
PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries.
51-200 employees
H1B Sponsorship
PhysicsX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$187MKey Investors
NVenturesAtomicoGeneral Catalyst
2025-11-19Series B· $20M
2025-06-22Series B· $135M
2023-11-27Series A· $32M
Leadership Team
Jacomo Corbo
CEO & Co-Founder
Recent News
Tech Funding News
2025-11-08
Company data provided by crunchbase