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Physics Informed Machine Learning Jobs in Minnesota

Niron Magnetics

Software Architect, AI

Minneapolis, MN · On-site

$150K - $250K/yr

Design and own the end-to-end architecture for AI and machine learning systems across data ... Experience with edge AI, time-series data, or physics-informed ML. * Passion for clean tech, ...

Deloitte

Data Science Consultant

Minneapolis, MN · On-site

Required : • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. • At least 2+ years of industry ...

Deloitte

AI Solutions Leader

Minneapolis, MN

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Deloitte

Senior AI Engineer - SFL Scientific

Minneapolis, MN · On-site

$109.10K - $149.80K/yr

... Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment • 4+ ...

New

ITW North Star Imaging

R&D Engineer

Rogers, MN

$85K - $110K/yr

Machine learning * Physics-based modeling * High-performance computing You will design, implement, and validate production-ready reconstruction pipelines that improve image quality, speed, robustness ...

Deloitte

Data Science Consultant

Minneapolis, MN · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

Mayo Clinic

Research Fellow - Engineering

Rochester, MN

$64.79K - $80.99K/yr

Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in ...

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What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
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Development Engineer/LEAD MACHINE LEARNING ENGINEER

Development Engineer/LEAD MACHINE LEARNING ENGINEER

UrBench

Minneapolis, MN • On-site

$65 - $70/hr

Contractor

Posted 18 days ago

Job description

Local candidates only
Must have local project in recent/Local DL copy
Overall 7+ years of exp
Visa - OPT/CPT/H4 EAD/Gc EAD/L2 EAD/USC/GC only
Rate - $65-70/hr W2 + $7 referral, open for higher rate based on their exp.
Client - TARGET
Location - Minneapolis, MN - Hybrid 2 days onsite
Role - Development Engineer/LEAD MACHINE LEARNING ENGINEER
Duration - 6-12 months contract with long term extension
Must Have:
Kaftka
Machine Learning
Machine Learning Development
Python, Pyspark or Scala
SPARK
Nice to Have:
Java
AS A LEAD MACHINE LEARNING ENGINEER
About Us:
Join our global in-house Tech and Data Sciences team
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
Qualifications:
  • 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
  • MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
  • 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
  • Highly proficient programming in Python and either PySpark or Scala
  • Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
  • Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker
  • Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute
  • Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
  • Good understanding of Big Data tech, specifically Kafka, Spark
  • Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
  • Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
  • Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented; able to meet tight timelines
  • Ability to collaborate effectively across global team
  • Experience in mentoring the junior team members ML skillset and career development
Nice to Have:
  • PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
  • Proficiency in Java
  • This position will operate as a Hybrid/Flex for Your Day work arrangement based on ***'s needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the *** HQ location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by ***.
  • Onsite 1 day a week at minimum. Sometimes teams may require up to 3 days and full Core Weeks attendance.

UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.

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About UrBench

Sourced by ZipRecruiter

Nurturing Excellence in the USA Since 2000 Hello, fellow explorer! Welcome to UrBench, where American excellence and expertise have been thriving since 2000. Get ready for a journey beyond the ordinary, because we're not your typical recruitment and staffing company. We're more like the architects of achievement, the conductors of compatibility, and the champions of collaboration right here in the States. Our High Skilled Team Players UrBench's adept team forge success by linking talent and opportunities with integrity and innovation. They empower individuals and organizations, propelling our mission forward. Our Expertise & Skills to All Business Because we're not just another company – we're your backstage pass to success, deeply rooted in the heart of the USA. With us, you're not a client; you're a collaborator, a co-pilot, and a fellow visionary in the quest for greatness on American soil. From tech revolutions to industry shifts, we've been here, shaping the landscape and creating success stories. Let's embark on this journey together, crafting history, one exceptional partnership at a time.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

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