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Jobs via Dice
AI/ML Engineer (Contract)
Jobs via Dice · Santa Clarita, CA, United States · via LinkedIn
10 hours ago
Contractor
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Job highlights
Identified by Google from the original job post
Qualifications
Strong proficiency in programming languages like Python and C++
Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow)
Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers)
8 more items(s)
Responsibilities
The ideal candidate will have strong experience building AI-based solutions for building neural network architecture, attention mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable, and automated workflows
Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis
5 more items(s)
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sapear Inc, is seeking the following. Apply via Dice today!
Position : AI/ML Engineer (Contract)
Location: Santa Clara, CA (Day 1 Onsite)
We are seeking an AI Scientist/Engineer to join our team in developing and supporting materials discovery and design. The ideal candidate will have strong experience building AI-based solutions for building neural network architecture, attention mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable, and automated workflows.
Key Responsibilities
Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, Google Cloud Platform, AWS).
Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
Document code, workflows, and best practices to support reproducible research.
Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Technical Skills:
Strong proficiency in programming languages like Python and C++.
Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers).
Knowledge of MLOps, model deployment pipelines, and CI/CD.
Experience with data cleansing, preprocessing, and feature engineering
Qualifications/Education:
Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles.
A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI.
Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
Expertise in use of cloud-based compute environments and tools for parallel or distributed computing.
Strong problem-solving and communication skills.
Regards !!
Bobby Sharma
Talent Acquisition Lead
Sapear Inc.
Cell : +1 Ext : 105
Mobile: +91 -
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HADRIAN
People Systems Engineer
HADRIAN · La Cañada Flintridge, CA, United States · via Women For Hire- Job Board
22 hours ago
Full–time
No Degree Mentioned
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Job description
Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
The Role:
At Hadrian, we're not just building autonomous factories - we're building the teams, systems, and culture that will power the future of aerospace and defense manufacturing. As we scale, the People team plays a critical role in shaping how we attract, enable, and retain world-class talent across both engineering and advanced manufacturing.
Working on the People team at Hadrian means designing and operationalizing the foundation of a company that blends cutting-edge robotics, AI, and precision manufacturing - while supporting a workforce that spans software engineers, machinists, program managers, and everything in between.
💡 Quick Summary
Seeking a career-building opportunity? The People Systems Engineer position is now open for candidates interested in the Receptionist & Front office Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Receptionist & Front office Jobs is a plus.
