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Remote Mechanical Engineering Machine Learning Jobs in Oregon

Senior Staff Machine Learning Scientist, Assets

OR ยท On-site +1

$91K - $124K/yr

Remote-first (United States; BC & ON, Canada) * Full-time * Permanent * Exempt * Our cash ... Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you'll: * Lead ...

Senior Machine Learning Engineer

OR ยท On-site +1

$205K - $270K/yr

... engineering bar. Perks & Benefits: We offer a comprehensive and people-first benefits package to ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Partner with engineering, machine learning, and product teams across unsecured, auto, and home ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Lead Forward Deployed Engineer (FDE)

OR ยท On-site +1

$102K - $134K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident required LTS is seeking a ... machine learning, data engineering, solution architecture, or related technical roles.

Senior Forward Deployed Engineer (FDE)

OR ยท On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... machine learning, data engineering, or related technical roles. * Experience designing and ...

Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability * Drive cross ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... Your responsibilities will include engineering design reviews, technical due diligence, project ...

... Machine Learning, Risk, Fraud, and other engineering teams to improve automation and platform ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Work with a world class team of engineers who are strong in both machine learning and software ... Location: Liftoff follows a philosophy of "remote first, come together meaningfully" and allows ...

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... Your responsibilities will include engineering design reviews, technical due diligence, project ...

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Remote Mechanical Engineering Machine Learning information

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What is a Remote Mechanical Engineering Machine Learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.
What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Oregon? For Remote Mechanical Engineering Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Oregon look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in Oregon with the most Remote Mechanical Engineering Machine Learning job openings:
Senior Staff Machine Learning Scientist, Assets

Senior Staff Machine Learning Scientist, Assets

Webflow

OR โ€ข On-site, Remote

$91K - $124K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

At Webflow, we're building the world's leading AI-native Digital Experience Platform, and we're doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we're here to build it together.

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.

About the role:
  • Location: Remote-first (United States; BC & ON, Canada)
  • Full-time
  • Permanent
  • Exempt
  • Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.ย 
  • United Statesย  (all figures cited below in USD and pertain to workers in the United States)
    • Zone A: 232,000 - 290,000
    • Zone B: 217,600ย - 272,000
    • Zone C: 204,800ย - 256,000
  • Canadaย  (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
    • 253,000 - 316,000

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

  • Application Information:
    • Application deadline: applications accepted on an ongoing basis until position is closed and filled
    • This posting is for a new position
  • Reporting to the Director, Engineeringย 

As a Senior Staff Machine Learning Scientist, you'll:ย 

  • Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
  • Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
  • Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.
  • Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.
  • Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.
  • Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.
  • Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.
  • Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.
About you:

Requirements:

  • BA/BS degree or equivalent experience

You'll thrive as a Senior Staff Machine Learning Scientist if you:

  • Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
  • Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.
  • 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.
  • Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.
  • Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.
  • Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
  • Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
  • Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
  • Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
  • Stay curious and open to growth - demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
Our Core Behaviors:
  • Build lasting customer trust. We build trust by taking action that puts customer trust first.
  • Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
  • Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
  • Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.
Benefits
  • Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
  • Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
  • Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
  • Time off that's actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
  • Wellness for the whole you. Access to mental health resources, therapy and coaching.
  • Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.ย 
  • Monthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts.
  • Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor.ย 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow's Applicant Privacy Notice.ย