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From Home Embedded Machine Learning Jobs in Oregon

Senior Applied Machine Learning Scientist

OR · On-site +1

$91.40K - $124.90K/yr

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this ... With an unbroken path from source to output, leaders gain confidence in their numbers, visibility ...

The Machine Learning & Inference Research (MLIR) team works on core methodological development in ... benefit from these developments. Such collaborations span applied research (such as exploring ...

Senior Machine Learning Test Engineer

OR · On-site +1

$110.40K - $143.40K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Testing ML Models from product side * API Testing * Automate ML QA workflows using Python and CI/CD ...

OR

$209K/yr

Position Overview The Sr. Engineer, Machine Learning Operations, with minimal guidance, works ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91.40K - $124.90K/yr

From entrepreneurs launching their first idea to global enterprises scaling their digital presence ... We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ...

OR

$122.40K - $161.30K/yr

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Hands-on experience in training ML systems end-to-end from data curation to evaluation and ...

OR

$104.40K - $143.40K/yr

This last item is an inference from the business context of all three roles, rather than a directly ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155.70K - $181.90K/yr

... point embedded software. Creative problem solver, team player Qualifications Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural ...

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... We provide a work-from-home stipend for all employees. * Flexible PTO : Generous time off and ...

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... You will own an end-to-end project from initial idea to a functioning prototype with a clear path ...

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

We aim to redefine the home shopping and transaction experience by providing an always-on assistant ... work from a physical location of their choice, which must be identified to the Company. U.S ...

OR · On-site

Work with some of the brightest minds in a premier AI company to develop leading machine learning ... Good teamwork and interpersonal skills Ways to stand out from the crowd: * Experience using multi ...

OR · On-site

In this role, you will be embedded within this team while collaborating very closely with a ... The Role We are seeking a Machine Learning Scientist to lead the research and development of Large ...

OR

$104.40K - $143.40K/yr

As a Senior Machine Learning Platform Engineer, you will architect and scale the ML platform that ... the full ML lifecycle, from data ingestion to model monitoring. * Design and implement ...

Demonstrated experience taking advanced MLLM and agentic systems from research to production and ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

OR · On-site

$104.40K - $143.40K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ... Expertise in developing and deploying AI/ML solutions to production environments and embedded ...

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Showing results 1-20

From Home Embedded Machine Learning information

What jobs make 3000 a month without a degree?

In the field of embedded machine learning, entry-level roles such as remote data annotators, AI support specialists, or freelance machine learning assistants can earn around $3,000 per month without a degree, especially with relevant skills in programming, data handling, and familiarity with tools like Python or TensorFlow. These positions often require self-learning, online certifications, or prior experience working with embedded systems and AI models remotely.
What are the most commonly searched types of Embedded Machine Learning jobs in Oregon? The most popular types of Embedded Machine Learning jobs in Oregon are:
What are popular job titles related to From Home Embedded Machine Learning jobs in Oregon? For From Home Embedded Machine Learning jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for From Home Embedded Machine Learning jobs? Cities in Oregon with the most From Home Embedded Machine Learning job openings:
Senior Applied Machine Learning Scientist

Senior Applied Machine Learning Scientist

Workiva, Inc.

On-site, Remote

$91.40K - $124.90K/yr

Full-time

Retirement

Posted 11 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 183 rated software companies


Job description

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges, and play a pivotal role in defining the medium-to-long-term technical strategy for impactful ML initiatives. If you excel in solving ambiguous problems, thrive in collaborative environments, and are passionate about applying machine learning to deliver business value, this opportunity is for you.

Join us to tackle cutting-edge challenges and make an impact through innovative machine learning and AI applications.

What You'll Do

  • Own and deliver high-quality AI & ML solutions that drive business impact and align with team objectives

  • Develop and maintain scalable infrastructure and libraries specific to Workiva science

  • Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems

  • Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams

  • Provide guidance on tradeoffs between thorough technical solutions and applied business value, reducing the time between POC and ROI

  • Mentor and guide team members, fostering a collaborative and high-performing team environment

  • Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to the model development lifecycle

  • Write, review, and maintain efficient, testable, and adaptable code

  • Proactively optimize existing systems, reducing technical debt and ensuring scalability

  • Contribute to strategic planning for ML-driven initiatives and influence the team's technical direction

  • Champion and evolve the culture of experimentation and measurement, ensuring sound decision making for AI and ML features in product

What You'll Need

Minimum Qualifications

  • Bachelor's degree or Advanced degree (Master's or PhD) in Computer Science, Data Science, or a related field, or equivalent experience

  • 2+ years of professional experience in applied machine learning or AI science

Preferred Qualifications

  • Experience designing, implementing, and deploying ML solutions

  • Expertise in Python, R, or similar programming languages

  • Experience with MLOps practices and cloud platforms (AWS, Azure, GCP)

  • Proficiency in experimentation and measurement

  • Experience leading ML modeling and solution projects, including tuning/training LLM/SLMs

  • Effective problem-solving skills and ability to address complex technical challenges

  • Excellent communication and collaboration abilities across teams

  • Familiarity with TensorFlow, PyTorch, or Scikit-learn

  • Familiarity with statistical libraries (SciPy, Statsmodels, etc.)

  • Knowledge of APIs and integration frameworks for scalable solutions

  • Proven ability to mentor junior team members and establish best practices

  • Experience optimizing systems for efficiency and scalability

  • Strong understanding of customer needs and translating them into actionable ML solutions

  • Excellent problem-solving skills and ability to navigate ambiguous technical challenges

  • Effective communication and collaboration skills with a track record of working across teams

Working Conditions & Travel Requirement

  • Minimal travel required (Up to 10%)

  • Reliable internet access for any period of time working remotely, not in a Workiva office

How You'll Be Rewarded

Salary range in the US: $141,000.00 - $226,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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