PhysicsX · 9 hours ago
Senior Machine Learning Engineer
Manhattan, NY
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $240K/yr
3+ years expPhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Senior Machine Learning Engineer will lead the deployment of ML models, mentor teams, and work closely with customers to solve complex engineering challenges.
Artificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments
Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence
Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars
Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments
Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure
Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site
Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX
Qualification
Required
At least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment
Experience in deploying ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments
Ability to communicate results and trade-offs to senior stakeholders; steer roadmaps and influence product direction with evidence
Experience in leading scoping and architecture design for data/ML systems; defining success metrics, delivery plans and quality bars
Proficiency in building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments
Experience with tech stack including Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others
Ability to mentor and develop engineers and data scientists; provide technical direction and clear, calm decision-making under pressure
Willingness to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter
Experience in scoping new projects and work-streams with existing customers and bringing new customers to PhysicsX
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