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Machine Design Intern Jobs in California (NOW HIRING)

Labelbox

Applied Research Intern

San Francisco, CA

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer ...

Bosch Group

Wireless Sensing Research Intern

Sunnyvale, CA · On-site

$32 - $69/hr

... Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design ... S. base salary range for this intern position is $32.00 -$69.00 per hour . Within the range ...

Profluent

Research Intern, Computational

Emeryville, CA · On-site

$1.6K/wk

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models ... Collaborate closely with scientists and engineers across machine learning, protein engineering, and ...

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Machine Design Intern information

What are the key skills and qualifications needed to thrive as a Machine Design Intern, and why are they important?

To thrive as a Machine Design Intern, you need a foundational understanding of mechanical engineering principles, CAD design, and materials science, typically gained through ongoing or completed coursework in mechanical engineering or a related field. Familiarity with CAD software like SolidWorks or AutoCAD, and basic knowledge of simulation tools such as ANSYS, are commonly required. Attention to detail, teamwork, and strong problem-solving abilities are standout soft skills for this role. These skills and qualifications are vital for contributing to effective, safe, and innovative machine design solutions in a collaborative engineering environment.

What kinds of projects and responsibilities can a Machine Design Intern typically expect during their internship?

As a Machine Design Intern, you can expect to work on a variety of hands-on projects, such as creating CAD models, assisting with prototype development, and conducting design validation tests. Interns often collaborate closely with experienced engineers and cross-functional teams, contributing to brainstorming sessions and design reviews. You'll gain exposure to the entire product development cycle and may be tasked with solving real-world engineering challenges, documenting design changes, and preparing technical reports. This role offers excellent learning opportunities and is a great stepping stone for a career in mechanical engineering or product design.

What is the difference between Machine Design Intern vs Mechanical Engineering Intern?

AspectMachine Design InternMechanical Engineering Intern
Required CredentialsEnrolled in Mechanical Engineering or related field, basic CAD skillsEnrolled in Mechanical Engineering or related field, basic engineering coursework
Work EnvironmentDesign labs, CAD software, prototype testingDesign labs, manufacturing facilities, testing environments
Employer & Industry UsageManufacturers, engineering firms focusing on product designVarious industries including automotive, aerospace, manufacturing

In summary, a Machine Design Intern focuses specifically on designing mechanical components and systems using CAD tools, often within product development teams. A Mechanical Engineering Intern has a broader scope, involving general engineering tasks across different areas like manufacturing, testing, and analysis. Both roles provide valuable industry experience but differ in specialization and daily responsibilities.

What does a Machine Design Intern do?

A Machine Design Intern assists engineers in creating and improving mechanical systems, components, or machines. Their responsibilities often include drafting technical drawings, performing calculations, conducting research, and helping with prototyping and testing. Interns use computer-aided design (CAD) software to develop and modify designs under the guidance of senior engineers. This role provides practical experience in the engineering design process and helps interns build skills that are essential for a career in mechanical engineering.
What cities in California are hiring for Machine Design Intern jobs? Cities in California with the most Machine Design Intern job openings:
Machine Design Intern jobs near you
Applied Research Intern

Applied Research Intern

Labelbox

San Francisco, CA

Other

Posted 29 days ago

Job description

Role Overview

As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and posttraining systems for frontier LLMs and multimodal models. You'll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tooluse, longcontext, visionlanguage, et al.), create and curate posttraining datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPOstyle training loops to measure and improve realworld task and agent performance.

Your Impact
  • Build and own evaluation and benchmark suites for reasoning, code, agents, longcontext, and V/LLMs.
  • Create posttraining datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals.
  • Experiment and prototype RLHF/RLAIF/RLVR/RM/DPOstyle training loops to improve real-world task and agent performance.
  • Land research in product: ship improvements into Labelbox workflows, services, and customerfacing evaluation/quality features; quantify impact with customer and internal metrics.
  • Engage with customer research teams: run pilots, codesign benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers.
What You Bring
  • A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions).
  • A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them.
  • Passion and experience for LLM evaluation and benchmarking.
  • Expertise in training data quality construction, measurement and refinement.
  • The ability to bridge research and application by interpreting new findings and translating them into functional prototypes.
  • A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
  • Exceptional communication and collaboration skills.
Applied Research at Labelbox

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

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