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Human Machine Teaming Jobs in California (NOW HIRING)

Sonaca

CNC Machinist 2nd Shift

Vista, CA · On-site

$22 - $26/hr

Loads parts in machine, cycles machine, detects malfunctions in machine operations such as worn or ... teaming, individual accountability and respect for people. Pay Range - $22.00 - $26.00 Per Hour 2nd ...

Sonaca

CNC Machinist 2nd Shift

Vista, CA · On-site

$22 - $26/hr

Loads parts in machine, cycles machine, detects malfunctions in machine operations such as worn or ... teaming, individual accountability and respect for people. Pay Range - $22.00 - $26.00 Per Hour 2nd ...

OpenAI

Researcher, Safety Oversight

San Francisco, CA · On-site

... red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify ... D. or other degree in computer science, machine learning, or a related field. • 4+ years of ...

Sonaca

Forming Fabricator

Vista, CA · On-site

$20 - $24/hr

... safety, teaming, individual accountability and respect for people. Pay Range - $20.00-$24.00 ... machine and human resources utilization, space utilization, organization and other factors.

Sonaca

Forming Fabricator

Vista, CA · On-site

$20 - $24/hr

... safety, teaming, individual accountability and respect for people. Pay Range - $20.00-$24.00 ... machine and human resources utilization, space utilization, organization and other factors.

Scout AI

Legal Counsel

Sunnyvale, CA

... human operators to command fleets of robots through natural language, and empowers those machines ... Other contract reviews such as teaming agreements and capital formation documents Qualifications

Bishop Fox

AI Software Engineer

San Francisco, CA

... teaming, and attack surface management to product, cloud, and application security assessments. We ... Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity ...

FAR.AI

We work at the intersection of machine learning, safety research, and policy, supporting a global ... We drive practical change through red-teaming with frontier model developers and government ...

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Human Machine Teaming information

What is human machine teaming?

Human Machine Teaming refers to the collaboration between humans and artificial intelligence (AI) systems, robots, or other machines to achieve shared goals. This partnership leverages the complementary strengths of humans—such as creativity, judgment, and adaptability—and machines, which excel at processing large amounts of data quickly and performing repetitive tasks. The goal is to improve decision-making, efficiency, and outcomes in various industries, including defense, healthcare, manufacturing, and more. Effective human machine teaming requires thoughtful design of interfaces, clear communication protocols, and ongoing training for both humans and machines to work together seamlessly.

What skills and qualifications are needed for human machine teaming?

To thrive as a Human-Machine Teaming Specialist, you need expertise in human factors engineering, systems integration, and data analysis, often supported by a background in computer science, engineering, or cognitive psychology. Familiarity with AI platforms, machine learning tools, and human-computer interaction (HCI) frameworks is typically required. Strong collaboration, problem-solving, and communication skills help bridge the gap between human users and advanced technologies. These capabilities are crucial to designing seamless interactions, ensuring safety, and optimizing the joint performance of human and machine teams.

What are common challenges in human machine teaming and how can they be addressed?

Professionals in Human Machine Teaming often encounter challenges such as balancing effective communication between humans and AI systems, ensuring trust in automated processes, and integrating new technologies into existing workflows. Addressing these challenges requires continuous learning, active collaboration with multidisciplinary teams, and clear communication of complex technical concepts to non-technical stakeholders. Regular training, user feedback loops, and staying updated on advancements in AI and human factors engineering can help professionals navigate and overcome these obstacles successfully.
What are popular job titles related to Human Machine Teaming jobs in California? For Human Machine Teaming jobs in California, the most frequently searched job titles are:
What job categories do people searching Human Machine Teaming jobs in California look for? The top searched job categories for Human Machine Teaming jobs in California are:
What cities in California are hiring for Human Machine Teaming jobs? Cities in California with the most Human Machine Teaming job openings:
Human Machine Teaming jobs near you

AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

Apple

San Francisco, CA • On-site

$114K - $157K/yr

Full-time

Posted 29 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models.
Description
This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations.
Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.
This role heavily draws on applied data science, scientific investigation and interpretation, cross-functional communication and collaboration, and metrics reporting and presentation.
Minimum Qualifications
MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.
Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
Strong engineering skills and experience in writing production-quality code in Python.
Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.
Experience working with noisy, crowd-based data labels and human evaluations.
Preferred Qualifications
Experience working in the Responsible AI space.
Prior scientific research and publication experience.
Strong organizational and operational skills working with large, multi-functional, and diverse teams.
Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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