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Jr Machine Learning Engineer Jobs in Albany, OR (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Salem, OR

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a Staff AI Engineer, you ...

Agility Robotics

Senior Safety Software Engineer

Salem, OR · On-site +1

$175K - $274K/yr

Partner with our machine learning, hardware, and core software teams to ensure that data pipelines ... Mentorship: Guide and mentor junior engineers on safety-critical coding standards and best ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. * Familiarity with game engines such as ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

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All JobsJr Machine Learning Engineer JobsJr Machine Learning Engineer Jobs in Albany, OR

Jr Machine Learning Engineer information

See Albany, OR salary details

$33.4K

$71.6K

$109.3K

How much do jr machine learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for jr machine learning engineer in Albany, OR is $71,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What does a Jr Machine Learning Engineer do?

A Jr Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the guidance of more senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, testing, and helping to integrate models into production systems. They also work on debugging issues, documenting code, and staying up-to-date with the latest industry trends and tools. Junior engineers typically collaborate closely with cross-functional teams to deliver AI-powered solutions.

What are the key skills and qualifications needed to thrive as a Jr Machine Learning Engineer?

To thrive as a Jr Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as experience with data preprocessing and version control systems, is typically required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively help you stand out in this role. These competencies are crucial for developing, optimizing, and deploying machine learning models that address real-world business challenges.

What are some common challenges faced by Jr Machine Learning Engineers in their first year on the job?

Jr Machine Learning Engineers often encounter challenges such as understanding complex codebases, managing large datasets, and bridging the gap between academic concepts and real-world applications. Collaboration with data scientists, software engineers, and product teams can also be a learning curve, as effective communication is crucial for project success. Additionally, balancing tasks like model development, testing, and deployment within fast-paced agile environments can be demanding, but these experiences provide valuable opportunities for skill growth and professional development.

What is the difference between Jr Machine Learning Engineer vs Data Scientist?

AspectJr Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often with advanced certifications
Work EnvironmentFocus on developing and deploying ML models, coding, and data preprocessingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, consulting, research institutions

The Jr Machine Learning Engineer primarily develops and deploys ML models, requiring coding skills and familiarity with ML frameworks. Data Scientists analyze data, build statistical models, and interpret insights. While both roles work with data, the Jr Machine Learning Engineer is more focused on implementation, whereas Data Scientists focus on analysis and strategy.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, industry, and experience. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Jr Machine Learning Engineer jobs near you
Infographic showing various Jr Machine Learning Engineer job openings in Albany, OR as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $71,649 per year, or $34.4 per hour.

Machine Learning Engineer

Foster, OR • On-site, Remote

Cellanome
Biotechnology Research and Development • 11 - 50 employees
Learn more about Cellanomeexternal

$160K - $215K/yr

Full-time

Posted 6 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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