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Junior Ai Machine Learning Python Jobs in Remote, OR

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

... and AI use cases. You will lead complex programs, mentor junior engineers, and influence ... Advanced Python for automation, orchestration, and engineering workflows. * Working knowledge of ...

As the company advances AI-ready connectivity and digital infrastructure for customers around the ... For someone motivated by ownership, continuous learning, and the opportunity to make a lasting ...

Experience with complex multi-axis robotics solutions including AI (artificial intelligence and ... Adept with programming languages (Visual Basic, Java, Python, C++) * Experience with machine vision ...

Experience with complex multi-axis robotics solutions including AI (artificial intelligence and ... Adept with programming languages (Visual Basic, Java, Python, C++) * Experience with machine vision ...

Showing results 21-28

Junior Ai Machine Learning Python information

See Remote, OR salary details

$46.5K

$94.4K

$141.9K

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

As of Aug 18, 2026, the average yearly pay for junior ai machine learning python in Remote, OR is $94,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $95,400.00 per year, depending on experience, location, and employer.

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 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 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 Remote, OR?

For Junior Ai Machine Learning Python jobs in Remote, OR, the most frequently searched job titles are:

What cities near Remote, OR are hiring for Junior Ai Machine Learning Python jobs?

Cities near Remote, OR with the most Junior Ai Machine Learning Python job openings:

Infographic showing various Junior Ai Machine Learning Python job openings in Remote, OR as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $94,449 per year, or $45.4 per hour.

Infrastructure Engineer

Anytime AI

OR • Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 17 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 an Infrastructure Engineer, you will play a pivotal role in building and maintaining the foundational systems that power our AI-driven legal tech platform. Your work will directly ensure the stability, scalability, and security of our services. You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and AI researchers.

Responsibilities

  • Design, build, and maintain high-availability, high-concurrency, and low-latency distributed infrastructure to support the platform’s rapidly growing business needs.
  • Lead the in-depth analysis of microservices and web service architectures, tackle performance bottlenecks, and continuously optimize API response times and overall system throughput.
  • Establish comprehensive monitoring, alerting, and logging systems to ensure 99.9%+ high availability for core services. Rapidly respond to and troubleshoot complex production incidents.
  • Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and Kubernetes for advanced service orchestration and scheduling.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components.
  • Optimize data routing across complex systems, ensuring highly efficient and stable operation of relational databases, NoSQL databases (such as MongoDB), and caching/vector stores (such as Redis, Pinecone).
  • Uphold the highest standards of software quality and data security at the infrastructure level, implementing security best practices given the strict sensitivity of legal and medical data.

Requirements

  • B.S. in Computer Science, Engineering, or a related field.
  • Core: Extensive experience in developing distributed systems, with the ability to independently design and implement complex, scalable backend architectures.
  • Core: Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing).
  • 3+ years of experience in backend development, infrastructure engineering, or Site Reliability Engineering (SRE).
  • Proficiency in at least one major backend programming language (such as Python, Go, or Rust) with strong coding fundamentals.
  • Solid experience with various database technologies (MySQL, PostgreSQL) and NoSQL/caching mechanisms (Redis, DynamoDB, etc.).
  • Familiarity with the cloud-native ecosystem, including hands-on experience with containerization (Docker), orchestration tools (Kubernetes), and Infrastructure as Code (IaC, e.g., Terraform).
  • Strong analytical and problem-solving skills, adept at identifying issues and maintaining optimal performance under varying loads.

Preferred Skills

  • Major Plus: Hands-on experience participating in the architecture or backend service development of Agentic AI Systems.
  • Experience developing foundational support services for AI-driven products or open-source LLM projects.
  • Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience architecting systems for sensitive legal or healthcare data.
  • Capability to work effectively in a fast-paced and dynamic startup environment.

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 building resilient, scalable infrastructure that enables cutting-edge AI products.
  • 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 platform reliability and performance.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary and equity package.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team at the forefront of AI technology.
  • 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