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Forward Deployed Engineer
monday.com
Denver, CO
- $140,000 to $170,000 USD / year
- Lead post-sale technical delivery through discovery, technical requirements gathering, and the execution of technical services engagements, collaborating closely with account and…
Added 1 min ago
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DevOps Engineer
Kforce
Hopkins, MN
- $46 to $63 USD / hour
Kforce has a client in Hopkins, MN that is seeking a DevOps Engineer responsible for developing, implementing and maintaining technical software applications and provides a combination of…
Added 1 min ago
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DevOps Engineer
Kforce
Minneapolis, MN
- $46 to $63 USD / hour
The DevOps Engineer is responsible for developing, implementing and maintaining technical software applications and provides a combination of technical and business leadership while being…
Added 1 min ago
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Lead Back-End Java Developer
Kforce
Remote, United States
- $120,000 to $140,000 USD / year
Kforce has a client that is seeking a Lead Back-End Java Developer in Tampa, FL.
Added 1 min ago
Software Engineer - Cloud/GovCloud (Top Secret - Remote US)
ICF
Reston, VA
The Work: ICF is seeking an experienced and driven Senior-Level Software Engineer to lead and oversee mission-critical initiatives in support of the Defense Counterintelligence and Security…
Added 3 mins ago
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Senior Customer Success Manager
Within
San Francisco, CA · Manhattan, NY
- $160,000 to $210,000 USD / year
- FDE-adjacent technical depth: You've worked alongside - or as - a Forward Deployed Engineer, and you're comfortable enough in the technical weeds (APIs, integrations, data structures) to…
Added 4 mins ago
Lead Engineer, AI Platform
Marketing Associates, LLC
United States
As Lead Engineer, AI Platform, you will own the architecture and evolution of the enterprise AI platform that powers AI agents across OneMagnify products and client solutions. This role…
Added 5 mins ago
IG
Cloud Platform Engineer (100% Remote)
Insight Global
Remote, United States
- From $61 USD / hour
Insight Global is looking for a Cloud Platform Engineer to support a growing Data Analytics, Business Intelligence, and AI/ML team within a large government multi-cloud environment…
Added 6 mins ago
AI Security Software Engineer
The Elevance Health Companies, Inc.
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The AI Security Software Engineer designs, develops, and implements AI-driven security solutions to assess enterprise applications, analyze source code, and identify vulnerabilities. This…
Added 8 mins ago
Senior Solutions Engineer- US
DataDome
Remote, United States
DataDome is looking for a Senior Solutions Engineer to join our US team.
Added 8 mins ago
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Infrastructure Engineer
TEKsystems
Wixom, MI
- $110,000 to $120,000 USD / year
…this capacity they are looking to hire a strong infrastructure engineer that has a jack of all trades skillset, but can come in with experience across the Cisco networking stack including…
Added 8 mins ago
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Infrastructure Engineer
TEKsystems
Wixom, MI
- $110,000 to $120,000 USD / year
…this capacity they are looking to hire a strong infrastructure engineer that has a jack of all trades skillset, but can come in with experience across the Cisco networking stack including…
Added 8 mins ago
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Mechanical Design Engineer
TEKsystems
Raleigh, NC
- $45 to $55 USD / hour
DescriptionPSA is seeking a Mechanical Design Engineer to own mechanical subsystems from problem definition and concept through drawings, build and field use. Example projects include a…
Added 9 mins ago
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Staff Software Engineer, Bots + Fraud
Suno
San Francisco, CA
- $276,960 to $363,510 USD / year
As a Staff Software Engineer on Suno’s new Bots & Fraud team, you’ll help lead the backend engineering behind our defenses against abuse, fraud, and bots. You’ll build real-time services…
Added 9 mins ago
Staff Software Engineer
Shipwell
Remote, United States
The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior…
Added 10 mins ago
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Solutions Lead, Clinical & EHR Systems
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Remote, United States
- $160,000 to $200,000 USD / year
…Meditech, or similar), for example as an Epic analyst, interface engineer, or clinical integration…
Added 10 mins ago
Photos Mission Tech Lead, Applied AI, Full Stack
Google
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 13 mins ago
Senior Software Engineer
Tempus AI, Inc.
United States
About the Role: We are seeking a highly motivated and capable Senior Software Engineer to help advance our Genomics AI initiatives. In this role, you will lead the analysis and design of…
Added 13 mins ago
Forward Deployed Engineer
Clarasight
Remote, United States
- We are seeking a Forward Deployed Engineer to sit within Engineering but spend most of their time in pre-sales and strategic customer engagements, working closely with Sales and Customer…
Added 15 mins ago
RU
Lead Software Engineer
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Irving, TX
- $70 to $100 USD / hour
…compute bottlenecks at scale. In this high-visibility technical lead role, you will pioneer automated, agentic code optimization and push NVIDIA Omniverse, Isaac Sim, and distributed…
Added 18 mins ago
Information Security Architect
HEXAWARE
United States
…Security Engineering & Operations (CSEO) team. This role will lead the design and implementation of secure architecture solutions across cloud, infrastructure, applications, and AI-enabled…
Added 18 mins ago
Automation Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
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We are seeking an experienced Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. The role…
Added 18 mins ago
Hard Services Manager, Operations
US AMR-Jones Lang LaSalle Americas, Inc.
Princeton, NJ
…Princeton, NJ. This is a perfect opportunity for a Crew team lead, Chief Engineer, or Facility Operations professional. They will manage a small team of maintenance technicians and support…
Added 20 mins ago
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Platform Engineer (R37)
R1
NY
- $126,000 to $243,000 USD / year
As our Platform Engineer, you will build shared platforms that enable 250+ engineers and AI scientists to build, ship, and operate software at scale. You will shape architecture across…
Added 21 mins ago
Principal EP Mapping Specialist, CAS- Daytona, FL
Medtronic
Daytona, FL

PhysicsX

Principal Machine Learning Engineer

NY, United States

$140,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process

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Job details

Pay: $140,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process
Experience: With at least 5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready not only to execute but to lead and mentor others.
Posting language: English
Posted: Nov 3, 2026

Original job description

About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Who We're Looking For

As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and work directly with customers (often side by side on-site) to embed cutting-edge AI models into tools that are useful and used.

For this role, that means manufacturing and maintenance, repair and overhaul (MRO). You have put ML into production on industrial process or sensor data, not benchmarks. You know the difference between a model that scores well offline and one a process owner will accept on a qualified production line. Your data comes off equipment rather than out of a solver: it is sparse, drifting, miscalibrated and partly unrecorded, and you know how to work with it.

You've shipped ML systems end to end and at scale: you design, build and test reliable, scalable ML data pipelines, select the right libraries, frameworks and tools, and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready not only to execute but to lead and mentor others.

This Role

You'll work closely with Data Scientists, Simulation Engineers, Manufacturing Process Experts and customers to define the process and physics problems we are solving, and you'll drive decisions on reliable deployment with measurable outcomes on the shop floor.

You'll:

Own the ML approach to manufacturing and MRO data, from modelling through deployment in customer production environments (cloud, on-prem and edge).
Build production ML on sparse, drifting, miscalibrated process and sensor data (process logs, sensor traces, inspection records, small DoE sets), and judge whether the data is enough to train on.
Choose between physics simulation, reduced-order and learned models, and fuse simulation with shop-floor measurement where the two disagree.
Set the UQ and validation standard for what a process recommendation may claim against a qualified process window, and design experiments where machine time is the cost.
Make models transfer across machines, material lots and consumable batches.
Define the product requirements that manufacturing and MRO place on the PhysicsX platform.
Lead scoping and architecture for data and ML systems, and communicate results and trade-offs to senior stakeholders and process owners.
Build end-to-end training and inference pipelines and APIs (Python, PyTorch, Pandas, FastAPI, SciPy, Kubeflow, among others), including for 3D point-cloud and mesh data, and mentor engineers and data scientists.
Travel to customer sites worldwide, on average 3-4 weeks per quarter, and take part in scoping new projects and bringing new customers to PhysicsX.

What you've done

We hire on what you've done, so strong candidates can point to things like:

Built and deployed ML on manufacturing process data (parameter logs, sensor traces, inspection records or small DoE sets) and can say what changed in production as a result
Fused simulation output with shop-floor measurement where the two disagreed
Set UQ and validation standards that other teams followed
Shaped a product or tooling roadmap based on what a site or company actually needed
Had a recommendation rejected by a process owner, and understood why

Experience in aerospace or another regulated manufacturing environment is a plus. It is not required, because the must-have bar can be met in any sector where data comes off equipment.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary range:

$140,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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