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Remote Full Stack Machine Learning Engineer Jobs in Roseburg, OR

Anytime AI

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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 ...

SOSi

Senior Data Scientist

OR · On-site +1

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

Mirantis

Openstack Technical Support Engineer

OR · On-site +1

... for modern AI, machine learning, and data-intensive applications. By combining open source ... Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full ...

SOSi

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 ...

Mirantis

Technical Support Engineer

OR · On-site +1

... for modern AI, machine learning, and data-intensive applications. By combining open source ... Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full ...

Anytime AI

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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 ...

Lumen Technologies

Sr Lead Software Engineer

OR · On-site +1

Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to ... Bonus Structure #LI-Remote #LI-VK1 Requisition #: 341609 Background Screening If you are selected ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires a Secret clearance or higher. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires a Secret clearance or above. An active TS/SCI clearance is ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires a Secret clearance. Maximus TCS (Technology and Consulting ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires an active Secret clearance. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires a Secret clearance or higher. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

This role is remote. Active Secret Clearance or above required. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

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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 May 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 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.

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 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 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.

Remote Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Anytime AI

Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

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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