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Remote Mechanical Engineering Machine Learning Jobs in Oregon

... platform engineering, machine learning, and software engineering. As a Staff ML/AI Platform ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

You will collaborate closely with clients, Sales, data scientists, ML engineers, and platform teams ... We are a remote-first company, and you should be comfortable working with a distributed global team.

You will work closely with Product, Data, Engineering, and business partners to identify high-value ... machine learning models * Demonstrated experience owning ranking, recommendation, or ...

Roughly 5+ years in machine learning, data science, or ML-adjacent software engineering, including ... Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited!) * 401K Match

New

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

The Globalization Data Science and Engineering team is at the forefront of removing language ... We are looking for an experienced Machine Learning Engineer with deep expertise in training and ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

... machine learning models. This is a hands-on engineering role where you'll contribute to scalable ... Remote

Senior Product Manager, Ads Quality

OR · On-site +1

$126K - $166K/yr

You'll partner closely with a team of talented machine learning engineers and ads engineers who are ... Own the product vision and roadmap for ads quality systems, including auction mechanics ...

This is a fully-remote opportunity. The AI Developer/Engineer designs, develops, integrates, and supports production-ready artificial intelligence and machine learning solutions. This role works ...

New

... 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 ...

Showing results 21-40

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 Engineer - Ads

Nextdoor

OR • On-site, Remote

$205K - $355K/yr

Full-time

Re-posted 11 days ago


Job description

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be integral to making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You'll Make
  • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will work closely with the Product and Data Science teams on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
  • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
  • Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
  • Deploy ML models into production environments and integrate them into the product
  • Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
  • Collaborate with other engineers and data scientists to create optimal experiences on the platform
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
  • 5+ years of industry/academic experience in applying machine learning at scale
  • Experience in building ML models for advertising products
  • Proven engineering skills. Experience in writing and maintaining high-quality production code
  • Ability to work with and analyze large amounts of data
  • Ability to succeed in a dynamic startup environment
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote