Jobs in the United States

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Added 8 days ago
MI
Entry-Level Temporary Analyst - Minneapolis (On-Site)
Milliman, Inc.
Eden Prairie, MN
- $26.1 to $40.43 USD / hour
Computer and statistical programming experience (SAS, Python and/or R)
Added 8 days ago
ST
NetSuite Developer
SkyWater Technology
Bloomington, MN
- $94,720 to $142,080 USD / year
The NetSuite Developer will design, customize, and optimize NetSuite ERP and SuiteCommerce Advanced (SCA) solutions. This position requires a well-rounded developer with broad IT…
Added 8 days ago
Senior Data Engineer
Highmark Health
Saint Paul, MN
5 years of experience with Python and Spark framework
Added 8 days ago
Forecasting, Budgeting & Reporting Analyst
U.S. Bank
Minneapolis, MN
Bank location three (3) or more days per week
Added 8 days ago
Snowflake Sr. Data/AI Engineer
CGI Technologies and Solutions, Inc.
Minneapolis, MN
Leverage AI-assisted coding tools such as Snowflake Cortex Code to accelerate development, debugging, and optimization of SQL and Python.
Added 8 days ago
Information Security Engineer - Cyber Threat Intelligence
U.S. Bank
Minneapolis, MN
Bank location three (3) or more days per week · Must Have Skills:
Added 8 days ago
Director, AI and Emerging Technology
Emergent Holdings, Inc.
Minneapolis, MN
…application integration, and production monitoring. Familiarity with Python, SQL, relational databases, ETL, and DevOps/MLOps practices is…
Added 8 days ago
RC
Summer 2027 US Wealth Management Technology Internship
RBC Capital Markets, LLC
Minneapolis, MN
- $20 to $30 USD / hour
Programming Languages & Frameworks:Java, Python, C#, JavaScript, Spring Boot, .NET, Node.js, React, and Vue.JS
Added 8 days ago
Senior Test Engineer, CRM
Medtronic
Minneapolis, MN
Must Have: Minimum Requirements
Added 8 days ago
Data Engineer III | 1177
CTI Consulting
Quincy, MA
Added 8 days ago
Full-stack Engineer 5 - Intelligent Foundations and Experiences (IFX)
Capital One
NY · Plano, TX · McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Full-stack Engineer 4
Capital One
Chicago, IL
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Senior Data Engineer
Strategic Staffing Solutions
McLean, VA
Develop, implement, and optimize data engineering solutions using Python, Scala, SQL, and AWS technologies.
Added 8 days ago
Principal Machine Learning Engineer (Aerospace Manufacturing)
PhysicsX
NY
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…
Added 8 days ago
RU
Backend SDET
Randstad USA
Roanoke, TX
- $79 to $80 USD / hour
Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
Added 8 days ago
Software Developer Intern - Packaged Systems
Ameritas
Remote, United States
Ameritas is seeking a Software Developer Intern - Packaged Systems to drive the business by supporting the Individual, AIC/AAS, and Retirement business efforts. This exciting role will…
Added 8 days ago
BV
Computer Vision Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Strong Python programming and experience with OpenCV and image-processing workflows.
Added 8 days ago
BV
Test Environment Engineer
Bright Vision Technologies
Fremont / East Bay, CA
- $115,000 to $165,000 USD / year
Working knowledge of scripting with Python, Bash, PowerShell, or similar tools.
Added 8 days ago
BV
Applied AI Engineer
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
Develop Python-based data preparation, inference, evaluation, and integration components.
Added 8 days ago
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Natural Language Processing Engineer
Bright Vision Technologies
Irving / Las Colinas, TX
- $115,000 to $165,000 USD / year
Strong Python skills and practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers.
Added 8 days ago
BV
Test Automation Architect
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
Strong programming ability in Java, Python, JavaScript, or TypeScript and experience designing reusable frameworks.
Added 8 days ago
BV
MLOps Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Strong Python or comparable scripting skills and practical experience automating engineering workflows.
Added 8 days ago
BV
Machine Learning Engineer
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
Strong Python skills and practical experience with libraries such as scikit-learn, pandas, NumPy, or equivalent tools.
Added 8 days ago
BV
Generative AI Engineer
Bright Vision Technologies
Irving / Las Colinas, TX
- $115,000 to $165,000 USD / year
Strong Python programming and experience developing APIs or production application services.
Added 8 days ago
BV
Test Data Engineer
Bright Vision Technologies
Fremont / East Bay, CA
- $115,000 to $165,000 USD / year
Programming or scripting experience with Python, Java, or a comparable language for data automation.

PhysicsX

Principal Machine Learning Engineer (Aerospace Manufacturing)

NY, United States

Apply on job-boards.eu.greenhouse.io About employer

Applications open in a new tab.

Job details

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…

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.

Apply on job-boards.eu.greenhouse.io About employer

More about this job

Skills

Machine learning
ML
Research
Manufacturing processes
Inspection
Product comprehension
Python
PyTorch
SciPy
Kubeflow

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Work requirements

Jobs in the United States