Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Square

    Machine Learning Engineer

    Portland, OR, United States

    • Ending Soon

    Company Description Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across busin

    Job Source: Square
  • SynergisticIT

    Machine Learning Engineer

    Oregon City, OR, United States

    • Ending Soon

    Job Description SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and that to stand out you need to have exceptional skills and technologies that's where we come in to make sure you get the attention that you need We are looking for Jobseekers wanting to file H1b visa Position open to all visas and US citizens We at

    Job Source: SynergisticIT
  • Dice

    Machine Learning Engineer

    Beaverton, OR, United States

    • Ending Soon

    Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apex Systems, is seeking the following. Apply via Dice today! Job#: 2028235 Job Description: Apex Systems is working with our client to find multiple Machine Learning Engineers . In this role, you will assist in production to maintain existing mo

    Job Source: Dice
  • SynergisticIT

    Machine Learning Engineer

    Oregon City, OR, United States

    Job Description SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and that to stand out you need to have exceptional skills and technologies that's where we come in to make sure you get the attention that you need We are looking for Jobseekers wanting to file H1b visa Position open to all visas and US citizens We at

    Job Source: SynergisticIT
  • Airola CPA & Associates

    Machine Learning Engineer

    Beaverton, OR, United States

    • Ending Soon

    Machine Learning Engineer: You will be the engineering glue that brings our intelligent products to life. These projects span the full spectrum of data and AI solutions – including predictive analytics, natural language processing, and computer vision along with the data pipelines and API’s that feed them and make their outputs available. Work as p

    Job Source: Airola CPA & Associates
  • 24 Seven Talent

    Machine Learning Engineer

    Portland, OR, United States

    • Ending Soon

    Job title: Machine Learning Engineer Contract type: Location: Portland Discipline: Remote: Yes Reference: 446078 Contact name: Adrienne Salzwedel-Bass Job description About the Role: The machine learning team is looking for a Senior Machine Learning Engineer to help build data-driven products using machine learning/data science. This is an

    Job Source: 24 Seven Talent
  • Phoenix Technologies

    Machine Learning Engineer

    Beaverton, OR, United States

    Backend/ML Engineer Software Backend Engineer Description Phoenix Technologies is one of the worlds most experienced and security focused platform firmware companies, details at www.phoenix.com .The total number of known medium, critical, and high-risk firmware vulnerabilities tracked by Phoenix has more than quadrupled in less than five years. We

    Job Source: Phoenix Technologies
  • New Relic, Inc

    Software Mid-level Engineer - Backend (Remote)

    Portland, OR, United States

    Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their soft

    Job Source: New Relic, Inc

Mid-level AI Machine Learning Engineer - Remote - USA

Portland, OR, United States

FullStack is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

We’re most proud of:

*Offering life-changing career opportunities to talented software professionals across the Americas.

*Building highly-skilled software development teams for hundreds of the world’s greatest companies.

*Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.

*Our 4.5-star rating on GlassDoor.

*Our client Net Promoter Score of 68, twice the industry average.

The Position: We're looking to hire a Mid-Level AI Machine Learning Engineer to join our team. You'll work with our incredible clients in one of two ways: Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We're Looking For: 3+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.

Design, develop, and test machine learning algorithms and models.

Analyze and interpret large amounts of data to identify patterns and trends.

Implement and optimize models in production environments.

Develop and maintain documentation on machine learning models and processes.

Identify and address issues that may arise during development and deployment.

Strong programming skills in languages such as Python, R, or Java.

Experience with machine learning frameworks such as TensorFlow or PyTorch.

Experience with data analysis and visualization tools like Pandas, NumPy, or Matplotlib.

Knowledge of statistical modeling and inference techniques.

Advanced English is required.

Successful completion of a four-year college degree is required.

Experience working on Agile/Scrum teams.

Forensic attention to detail.

A positive mindset and a can-do attitude.

Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Ability to consistently work 40 hours per week.

What We Offer: Competitive pay in your local currency

100% remote work

The ability to work with leading startups and Fortune 500 companies

English Classes

Virtual company events each month

Ample opportunity for career advancement

Continuing education opportunities

Depending on your location other benefits may apply

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.

Learn more about our Applicants Privacy Notice .

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Mid-level AI Machine Learning Engineer - Remote - USA jobs in Portland, OR, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.