Machine learning • usa
The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters.They will be pre-screening candid... Show more
Join Cantor Fitzgerald Technology Markets LLC as a Machine Learning Engineer focused on building AI‑driven solutions for a high‑volume financial services business.You will work closely with product... Show more
Sperry Rail is on a mission-critical journey to revolutionize the Rail Flaw Detection industry.Through the continuous development of cutting-edge diagnostic technologies and AI-assisted analysis, w... Show more
Machine Learning Engineer</strong></p> <p><strong>Remote</strong></p> <p><strong>3-6+ Months</strong></p> <p> </p> <p... Show more
We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.At BigHat Biosciences our full-stack antibody dr... Show more
Job description<br /> Job Responsibilities :<br /> <br /> - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge manag... Show more
Headquartered in San Francisco, our investors include.Write modeling problems from systems you have shipped, including data, objectives, constraints, and reference answers for model grading.Grade m... Show more
In order to execute our vision, we're constantly growing our machine learning team.We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their... Show more
Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to... Show more
As passionate about our people as we are about our mission.Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in ... Show more
Confidential — venture-backed technology company.San Francisco, CA (South Park office, in person 5 days per week).Visa transfers; can sponsor visas.The client is pursuing general causal intel... Show more
Remote-based in the US   Overview   GoodPower is a global organization working to unlock the economic potential of decarbonization through research, innovation, strategic communications, ... Show more
At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.Our people are at the heart of our solu... Show more
Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR.This role will be onsite 4 days a week and 1 remote day.The role of Senior Machine Learning Engineer... Show more
Remote for US based candidates only.We are looking for an experienced Machine Learning Engineer Consultant to design, build, validate, and deploy quantitative models that support AI-enabled busines... Show more
We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning.If you want to design distributed systems, deploy production ML... Show more
Machine Learning Engineer Clearance Required: TS/SCI Location: Centennial, CO | Hybrid About Us Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics, an... Show more
ML Engineer (Machine Learning).Location: Remote (EST) or Onsite (Philly/DC/CA).Python, PySpark, AWS, Databricks.Screen ➡️ Coding ➡️ System Design.Build custom DL models from scratch (no infra).Dexi... Show more
Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them.B... Show more
Machine Learning Engineer</p> <p> </p> <p><b>Summary</b><br /> We are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine... Show more
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Your Job
The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre-screening candidate designs in milliseconds so only the most promising ones require full high-fidelity simulation, accelerating the design-optimization cycle.
Our Team
Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting. You'll join the platform team behind our Azure AI/ML engineering tools, partnering closely with data scientists, LLM engineers, and MLOps teams to keep GPU-heavy training and simulation workloads reliable and fast.
What You Will Do
Who You Are (Basic Qualifications)
What Will Put You Ahead
For this role, we anticipate paying $170,000 - $250,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
