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Human Machine Teaming Jobs in Seattle, WA (NOW HIRING)

CNC Machinist

Auburn, WA · On-site

$28/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 - $23 - $28 per hour / DOE ...

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors.

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors.

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors.

Forming Fabricator

Auburn, WA · On-site

$20 - $24/hr

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors.

Press Brake Operator

Auburn, WA · On-site

$21 - $25/hr

... teaming, individual accountability and respect for people. Pay Range- $21 - $25 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors ...

... teaming, individual accountability and respect for people. Pay Range- $21 - $25 per hour DOE ... machine and human resources utilization, space utilization, organization and other factors ...

Press Brake - 2nd Shift

Auburn, WA · On-site

$20 - $24/hr

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour - DOE ... machine and human resources utilization, space utilization, organization and other factors ...

... teaming, individual accountability and respect for people. Pay Range - $20 - $24 per hour - DOE ... machine and human resources utilization, space utilization, organization and other factors ...

... human-in-the-loop and active-learning pipelines that get better over time. * Advance the ... system; create red-teaming, adversarial, and safeguard layers for generative and curated ...

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 Seattle, WA?

For Human Machine Teaming jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Human Machine Teaming jobs in Seattle, WA look for?

The top searched job categories for Human Machine Teaming jobs in Seattle, WA are:

Technical Lead - Distributed Systems

Overland AI

Seattle, WA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary
We are seeking a Technical Lead - Distributed Systems to lead its efforts designing and implementing the data fabric that connects robots with each other and their operators. In this role, you will build the technical backbone of multi-robot interactions and human-machine teaming via command-and-control (C2) interfaces. Your goal is to ensure the reliable and secure storage and distribution of mission data and real-time telemetry, enabling collaborative robot behaviors and the coordination of mission-level off-robot mapping and planning.
In this role, you will:
  • Design distributed data solutions that operate seamlessly across both traditional cloud-based server infrastructure and edge network topologies.
  • Leverage autonomy to build systems that reliably bridge Denied, Degraded, Intermittent, and Limited (DDIL) networking scenarios.
  • Collaborate with cross-functional robotics engineering teams on development of world models and distributed mapping solutions
  • Champion the adoption of best practices while pragmatically weighing technical tradeoffs and velocity.
  • Mentor and lead teammates in implementing designs according to operational requirements.
  • Work with program and product managers to understand customer requirements and architect flexible solutions.

Minimum Qualifications
  • Bachelor's degree in computer science, engineering, or related discipline and 5+ years relevant professional experience; OR 8+ years of relevant professional experience.
  • Experience architecting and implementing scalable, distributed and loosely coupled microservices with Python, go, C++

Desired Experience & Qualifications:
  • Proven experience architecting and implementing real-time, low-latency distributed communications for mesh topologies on unreliable networks.
  • Experience with communications protocols (HTTP, Websocket, MQTT, and message brokers), with strong judgement on appropriate technology selection.
  • Deep expertise in conflict resolution algorithms and distributed data consensus protocols
  • Demonstrated ability to diagnose and resolve complex reliability and performance issues in distributed systems.
  • Track record of successful deployments to both edge hardware and cloud platforms.
  • Demonstrated leadership experience mentoring and guiding engineering teams.
  • Experience collaborating with API client development teams across multiple platforms (web applications, mobile frameworks, and agent clients)
  • Familiarity with military or tactical communication systems.
  • Security-conscious mindset: experience implementing zero-trust security and compliance best practices with containerized and distributed environments.
  • Experience with video and telemetry streaming with WebRTC or other real-time protocols.

Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.
  • The salary range for this position is $200K to $260K annually
  • Equity compensation
  • Best-in-class healthcare, dental and vision plans.
  • Flexible PTO
  • 401k with company match
  • Parental leave

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.
This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.
Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [peopleops@overland.ai] to request an accommodation.