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Remote Machine Learning Robotics Jobs in Portland, OR

HiddenLayer

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Honor

Staff Data Scientist

Portland, OR · Remote

You possess a strong foundation in traditional predictive machine learning (e.g., classification ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

... vision and robotics technology that keeps America's most critical production lines running ... Professional development and learning opportunities * Opportunity to shape manufacturing technology ...

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All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Portland, OR

Remote Machine Learning Robotics information

See Portland, OR salary details

$34.5K

$67.6K

$105.5K

How much do remote machine learning robotics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote machine learning robotics in Portland, OR is $67,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

Can a remote machine learning robotics engineer work remotely?

Yes, remote machine learning robotics engineers can work remotely, especially if their role involves software development, data analysis, and algorithm design. Many companies support remote work for these positions, often requiring proficiency with collaboration tools and cloud-based platforms. However, some tasks involving hardware or on-site testing may require physical presence.

What are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Portland, OR? For Remote Machine Learning Robotics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Portland, OR look for? The top searched job categories for Remote Machine Learning Robotics jobs in Portland, OR are:
Remote Machine Learning Robotics jobs near you

Lead Engineer, AI Attack Simulation

HiddenLayer

Portland, OR • On-site, Remote

$108K - $143K/yr

Full-time

Posted 4 days ago

Job description

Lead Engineer, AI Attack Simulation

Remote [within the US]

ABOUT THE ROLE:

HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our attack simulation product. You will lead the architecture and development of systems that translate adversarial AI research and real-world attack techniques into safe, repeatable, and measurable security testing capabilities.

You will partner closely with Product Management and Security Research to shape product strategy, understand customer problems, evaluate opportunities, and define the outcomes the team is working toward. This role is designed for a product-minded engineering leader who goes beyond receiving requirements and solving tickets, helping determine what we should build, why it matters, and how we will measure its success.

You will also establish an AI-first product development workflow, applying AI across discovery, research, solution design, prototyping, implementation, validation, and continuous improvement. The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic-systems judgment, and the leadership ability to mentor engineers and raise the technical and product ownership of the entire team.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Own the technical direction, architecture, and execution of HiddenLayer's AI Attack Simulation product.
  • Partner with Product and Security Research to define product strategy, understand customer outcomes, shape the roadmap, and translate adversarial AI techniques into safe, scalable product capabilities.
  • Design and build agentic workflows, tool integrations, execution systems, guardrails, and evaluation frameworks.
  • Establish an AI-first product development workflow that uses AI across discovery, customer and market research, solution design, prototyping, implementation, validation, release, and continuous improvement.
  • Ensure engineers understand the customer problem and intended outcome, contribute to product decisions, and take ownership beyond ticket execution.
  • Remain hands-on with critical architecture, prototyping, implementation, and complex technical problem-solving.
  • Mentor engineers, lead technical reviews, support hiring, and raise standards for reliability, security, observability, and product quality.

WHO YOU ARE:

  • 10+ years of professional software engineering experience, including technical leadership of complex production systems.
  • Strong backend, distributed-systems, and cloud-native engineering experience.
  • Demonstrated experience building an AI-first product development workflow that involves engineers throughout product discovery, strategy, solution definition, implementation, validation, and outcome measurement.
  • A track record of leading teams beyond ticket-based execution toward direct ownership of customer problems, product tradeoffs, and measurable outcomes.
  • Experience building production AI or agentic systems involving tool use, orchestration, structured outputs, state management, guardrails, and evaluation.
  • Cybersecurity product experience or closely related experience in offensive security, attack simulation, AI security, red teaming, penetration testing, or control validation.
  • Strong proficiency in Go and experience with at least one additional production language such as Python, Rust, Java, or TypeScript.
  • Strong product judgment and experience partnering directly with Product Management.
  • Demonstrated ability to mentor engineers, influence technical direction, and lead through ambiguity.

WHO YOU ARE (PREFERRED):

  • Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous security testing.
  • Direct experience with breach and attack simulation, adversary emulation, attack-path validation, or continuous security validation products.
  • Experience using AI to support product research, prototype evaluation, customer-feedback synthesis, implementation, testing, and release decisions.
  • Familiarity with MITRE ATT&CK and/or ATLAS and threat-informed defense.
  • Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems.
  • Experience developing evaluation datasets, graders, traces, and regression frameworks for AI systems.
  • Experience building secure sandboxes or constrained environments for executing potentially risky actions.
  • Experience delivering enterprise, self-hosted, air-gapped, or regulated software.
  • Previous responsibility for hiring and developing senior engineers.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.