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Remote Full Stack Machine Learning Engineer Jobs in Roseburg, OR

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires ...

Be Seen First

AI Engineer

OR · Remote

... machine learning services into our products, to developing the front-end applications that put ... You will work across the stack, with a strong emphasis on front-end development and cloud-native ...

Be Seen First

AI Engineer

OR · Remote

... machine learning services into our products, to developing the front-end applications that put ... You will work across the stack, with a strong emphasis on front-end development and cloud-native ...

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

You will combine deep expertise in AI and machine learning with strong software engineering ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Director, Applied AI Solutions

OR · Remote

$202K - $253K/yr

Guide technical decisions across machine learning, agentic AI, retrieval systems, evaluation ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342923 Life at Lumen Life at Lumen is human and ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... full-stack engineers and AI researchers. Responsibilities * Design, build, and maintain high ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

Lead AEM Software Developer

OR · Remote

$105K - $140K/yr

The Role Drive the end-to-end evolution and modernization of lumen.com by leveraging full-stack ... Benefits Bonus Structure #LI-Remote Requisition #: 342692 Life at Lumen Life at Lumen is human and ...

Jr. DevOps Engineer

OR · Remote

$20 - $23/hr

... learning cloud and DevOps technologies Nice to Have Skills & Experience NICE-TO-HAVES • ... as Dynatrace, ELK Stack, or PagerDuty • Familiarity with APIs and modern application ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Apply statistical, forecasting, and machine learning techniques to solve business problems and ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

Systems Engineer

OR · On-site +1

Senior Systems Engineer (Windows) Remote, USA EMKS is seeking a Senior Systems Engineer to support ... Provision, manage, and troubleshoot virtual machines and hosted services within VMware-based ...

Senior Controls Engineer

OR · On-site +1

$91K - $120K/yr

We develop future technologies and support talents to deploy their skills and reach their full ... industrial machine control development and troubleshooting * You have strong leadership ...

This role is remote-based in the Boise, Idaho metropolitan area, with frequent, hands-on engagement ... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ...

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Showing results 1-20

Remote Full Stack Machine Learning Engineer information

See Roseburg, OR salary details

$45.1K

$136.4K

$192.9K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote full stack machine learning engineer in Roseburg, OR is $136,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

Machine Learning Engineer

Anytime AI

OR • Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago


Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.

Responsibilities

  • Design, develop, and deploy advanced AI algorithms to boost the functionality and efficacy of our legal AI applications.
  • Work closely with product teams to integrate AI technologies into solutions centered around user needs.
  • Enhance and streamline machine learning pipelines for superior performance and scalability.
  • Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms.

Requirements

  • M.S. or higher in Computer Science, Machine Learning, AI, or related fields.
  • 3+ years of experience in Machine Learning R&D.
  • Proficiency in Machine Learning and NLP techniques and tools.
  • Demonstrated experience in developing real-world AI solutions or contributing to open-source applications using NLP.
  • Strong software development capabilities.
  • Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for optimal performance under varying loads.

Preferred Skills

  • Extensive experience in building and managing production-level machine learning systems.
  • Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies.
  • Experience in developing search and retrieval algorithms.
  • Experience in training Large Language Models.
  • Web development experience or willingness to acquire the necessary skills to contribute to our web-based product offerings.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts to cross-functional teams and translating legal workflows described by these teams into technical solutions.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for crafting innovative AI solutions that deeply engage users and meet critical needs.
  • AI/ML fascinates you, and while hands-on experience isn’t mandatory, an eagerness to delve into these fields is essential.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive product innovation.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary, including potential equities. Base+ Bonus+ Employee Stock Option Plan.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team and gain multi-domain (Marketing, Business Intelligence, Product Management, Project Management, Generative AI, Gen AI for law) knowledge in one place.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai