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Junior Machine Learning Jobs in Seattle, WA (NOW HIRING)

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Responsibilities As a senior Machine Learning Systems Engineer on the Search Platform team, you ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture. Basic Qualifications * 5years of experience designing and ...

Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture. Basic Qualifications * 8+ ...

Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Machine Learning, or a related field (or equivalent experience) In Office Requirements * We're a ...

... and junior engineers • Communicate model architecture decisions, tradeoffs, and performance ... Machine Learning, or a related field (or equivalent experience) • We're a collaborative, in ...

... and junior engineers • Communicate model architecture decisions, tradeoffs, and performance ... Machine Learning, or a related field (or equivalent experience) Preferred : • Experience in ...

Basic Qualifications - PhD/MS in Computer Science, Electrical Engineering, Machine Learning ... junior scientists or engineers Key job responsibilities - Design, implement, and evaluate novel ...

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Mentor junior engineers with scoping, design, and developing scalable and maintainable code ...

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Mentor junior engineers with scoping, design, and developing scalable and maintainable code ...

Showing results 41-60

Junior Machine Learning information

See Seattle, WA salary details

$8

$30

$53

How much do junior machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for junior machine learning in Seattle, WA is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $37.74 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Seattle, WA?

The most popular types of Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Junior Machine Learning jobs in Seattle, WA?

For Junior Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Junior Machine Learning jobs?

Cities near Seattle, WA with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $63,808 per year, or $30.7 per hour.

Senior Machine Learning System Engineer

Atlassian

Seattle, WA • On-site, Remote

$118K - $162K/yr

Full-time

Re-posted 16 days ago


Job description

Overview:

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities:

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search experiences across Atlassian's product suite, including Jira, Confluence, and Rovo.

Search Platform Engineering
Design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing systems, and embedding-based semantic search. Own end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants. Contribute to the architecture of high-throughput, low-latency search systems that meet strict SLO targets for availability, latency, and relevance quality.

ML Model Development & Serving
Build and maintain production ML models including neural rankers, embedding models, and reranking systems. Integrate models into serving infrastructure using frameworks such as Triton and PyTorch, ensuring reliability, scalability, and cost efficiency. Collaborate with ML researchers to translate experimental models into production-grade systems with robust monitoring and evaluation harnesses.

Agentic Search & Retrieval
Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step retrieval workflows. Partner with Rovo and AI platform teams to evolve search infrastructure as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale.

Operational Excellence & Cost Discipline
Drive observability, monitoring, and incident response for search serving systems. Apply FinOps principles to identify and execute cost optimization opportunities across vector search infrastructure and ML serving fleets. Maintain production health through rigorous on-call practices, runbook development, and proactive capacity planning.

Cross-Functional Collaboration
Work closely with engineering leads, product managers, and platform stakeholders to define technical roadmaps and deliver against team OKRs. Mentor junior engineers, contribute to design reviews, and champion engineering best practices across the team.

Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $180,000 - $235,000

Zone B: $162,000 - $211,500

Zone C: $149,400 - $195,050

Qualifications:

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.