1

Junior Ai Machine Learning Python Jobs in Portland, OR

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for ... Proficiency in Python and SQL for data manipulation and algorithm development. * Strong grasp of ...

Python Tutor

Portland, OR · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... machine learning engagements while collaborating with various stakeholders to align technical ... junior team members on technical practices Qualifications : Required : • Bachelor's degree in ...

Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML ... Develop LLM and machine learning model improvements, scale them in production, and run iterative A ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$58.50 - $75.50/hr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... coach junior members on technical best practices and inspire professional development ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

next page

Showing results 1-20

Junior Ai Machine Learning Python information

See Portland, OR salary details

$49.3K

$100.3K

$150.6K

How much do junior ai machine learning python jobs pay per year?

As of Jun 21, 2026, the average yearly pay for junior ai machine learning python in Portland, OR is $100,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $101,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Portland, OR? For Junior Ai Machine Learning Python jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Portland, OR look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Portland, OR are:
What cities near Portland, OR are hiring for Junior Ai Machine Learning Python jobs? Cities near Portland, OR with the most Junior Ai Machine Learning Python job openings:

Machine Learning Engineer

Bespoke Labs

Gresham, OR

Full-time

Posted 4 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination