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Remote Deep Learning Jobs in Oregon (NOW HIRING)

Yoodli AI Roleplays

Growth Customer Success Manager

OR · On-site +1

$125K - $150K/yr

... love for learning Extra credit experience: * Deep understanding of the SaaS ecosystem and ... We are targeting a East Coast based Remote hire. What's in it for you? * Huge impact opportunity:

WEKA

Designated Service Engineer - Ceph Expert

OR · On-site +1

Collaborating closely with Account Teams, you will gain deep insight into customers' business ... Learning & Growth at WEKA * Ramp on WEKA's architecture, tooling, and support model, and ...

Prove

Partner Success Manager

OR · On-site +1

$120K - $135K/yr

US, remote The Partner Success Manager oversees partner retention and enablement by acting as a ... You are naturally curious and thrive on learning how technology works to solve problems. You pair ...

Upstart

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

... learning preferred but not required * History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person. * Deep experience with distributed systems, cloud ...

Fluxon

Senior Product Manager

OR · On-site +1

$160K - $200K/yr

Inside Fluxon, you'll find a global, remote-first team of experienced builders, who are curious ... Build deep partnerships with startups and tech leaders alike to understand their product, users ...

Cresta

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large ... Deep familiarity with container-related security best practices. * Production experience working ...

BECU

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Work with cutting-edge AI technologies, including machine learning, generative AI, and emerging ...

New

Care Access

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Stay current with modern data stack tools and techniques and apply learning to support data team ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Aprio

Senior Tax Manager - Real Estate

Portland, OR · On-site +1

You'll bring deep knowledge of taxation and extensive client-facing experience. Our Tax team gives ... Mentor and develop junior team members, fostering a culture of learning, growth, and collaboration.

Upstart

Senior Software Engineer, Mobile

OR · On-site +1

$133K - $166K/yr

Embrace a growth mindset and enjoy learning from others while helping teammates grow. Preferred ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

LearnLux

Consultant Relations - Eastern Region

OR · On-site +1

We're a remote-first company, backed by prominent investors such as Ashton Kutcher's fund Sound ... Develop a deep understanding of LearnLux's product, value proposition, and roadmap in order to ...

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Showing results 41-60

All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Oregon

Remote Deep Learning information

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are the most commonly searched types of Deep Learning jobs in Oregon?

The most popular types of Deep Learning jobs in Oregon are:

What are popular job titles related to Remote Deep Learning jobs in Oregon?

For Remote Deep Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning jobs in Oregon look for?

The top searched job categories for Remote Deep Learning jobs in Oregon are:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Growth Customer Success Manager

Yoodli AI Roleplays

OR • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Who we are:

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it's a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We're building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don't learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It's learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We've $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

  • TED Talk with our "Why"
  • Explainer on experiential learning
What you'll do:

As a Growth Customer Success Manager, you will ensure seamless customer experiences across all stages of the customer journey. You'll bring strong customer relationships, maximize satisfaction, and drive growth by managing enterprise client accounts. Your work will focus on increasing customer satisfaction, NPS, retention/product adoption, and business expansion while collaborating closely with sales, product, and leadership teams.

About you:
  • 3+ years of experience as an enterprise customer success manager
  • Proven track record of managing enterprise accounts, driving adoption, and achieving customer success metrics
  • Experience shaping and executing customer experience strategies for enterprise lifecycle stages
  • Skilled at working cross-functionally with sales, leadership, and product teams to deliver customer value
  • Exceptional verbal and written communication skills with a talent for clear and persuasive articulation of ideas
  • Strong proficiency in customer engagement platforms and CRM tools
  • Humility, creativity, and team-first-attitude, with a love for learning
Extra credit experience:
  • Deep understanding of the SaaS ecosystem and strategies to guide customers through the adoption curve
  • Proficient in using advanced analytics tools to monitor customer usage patterns and predict future behaviors
  • Ability to develop and implement automation strategies that enhance customer lifecycle management from onboarding to renewal, reducing manual processes and improving operational efficiency
Compensation
  • Total compensation is targeted at $125,000 - $150,000 (depending on experience), including variable pay based on quarterly goals
  • Equity opportunities at a fast growing company
  • Health, dental, vision insurance
  • 401k plans
  • Unlimited PTO, free lunches at the office
  • We are targeting a East Coast based Remote hire.
What's in it for you?
  • Huge impact opportunity: Build and scale a company from the ground up
  • Competitive compensation: Includes a combination of cash base and commission compensation
  • Work on a daily basis with the founding team and mentors
  • Join a fun, inclusive and highly motivated team culture (and help define it!)

Apply