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Jr Engineer Jobs in Redmond, WA (NOW HIRING)

Seattle Housing Authority

HVAC Engineer

Seattle, WA

$64.71/hr

We are looking for an HVAC engineer to join our team. This role is perfect for someone who can ... The Location: 810 MLK Jr Way S, Seattle, WA 98144 Why Should You Apply. Competitive Salary ...

Seattle Housing Authority

HVAC Engineer

Seattle, WA · On-site

$64.71/hr

We are looking for an HVAC engineer to join our team! This role is perfect for someone who can ... Location: 810 MLK Jr Way S, Seattle, WA 98144 Why Should You Apply? * Competitive Salary

DigitalOcean

Senior Capacity Planner

Seattle, WA · Hybrid

$106K - $132K/yr

... Engineering, Product, and Delivery * Bonus: experience with data center inventory tools such as dcTrack or Netbox Compensation Range: * $106,000 - $132,000 *This is a hybrid role JR: 2026-8183 #LI ...

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All JobsJr Engineer JobsJr Engineer Jobs in Redmond, WA

Jr Engineer information

See Redmond, WA salary details

$37.5K

$80.4K

$122.6K

How much do jr engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for jr engineer in Redmond, WA is $80,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $89,600.00 per year, depending on experience, location, and employer.

What is a Jr Engineer?

Jr Engineers, or Junior Engineers, are entry-level professionals who assist in designing, developing, and maintaining engineering projects under the supervision of senior staff. They typically perform tasks such as drafting plans, conducting tests, collecting data, and troubleshooting issues in their field of engineering. Jr Engineers gain hands-on experience while learning industry standards and best practices, and their role serves as a foundation for career growth in engineering. They usually have a relevant degree or diploma and may work in fields like civil, mechanical, electrical, or software engineering.

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

To thrive as a Jr Engineer, you need a solid understanding of engineering fundamentals, problem-solving abilities, and a relevant degree in engineering or a related field. Familiarity with industry-standard software like AutoCAD, MATLAB, or SolidWorks, and an understanding of project management tools or safety standards, is often required. Strong communication, teamwork, and a willingness to learn are essential soft skills that help Jr Engineers grow and adapt. These skills enable Jr Engineers to contribute effectively to projects, collaborate with senior staff, and develop professionally within engineering teams.

What are some common challenges faced by Jr Engineers when transitioning from academic projects to real-world engineering tasks?

Jr Engineers often find that real-world engineering projects involve more collaborative work, tighter deadlines, and the need to follow established processes and documentation standards compared to academic assignments. Adjusting to working within a team, understanding project management tools, and effectively communicating with senior engineers and other departments can be challenging at first. However, with mentorship and hands-on experience, Jr Engineers quickly develop these skills and become valuable contributors to their teams.

What is the difference between Jr Engineer vs Mechanical Engineer?

AspectJr EngineerMechanical Engineer
Required CredentialsDiploma or Bachelor's in EngineeringBachelor's or higher in Mechanical Engineering
Work EnvironmentEntry-level, supervised tasks, site or officeDesign, analysis, project management, often more autonomous
Employer & Industry UsageConstruction, manufacturing, engineering firmsDesign firms, manufacturing, R&D, industrial sectors

Jr Engineers typically hold diplomas or bachelor's degrees and perform supervised tasks in construction or manufacturing environments. Mechanical Engineers usually have a bachelor's or higher degree and handle design, analysis, and project management roles. While Jr Engineers focus on learning and supporting projects, Mechanical Engineers take on more complex responsibilities and autonomous work.

How do I become a junior engineer?

To become a junior engineer, typically you need a relevant bachelor's degree in engineering or a related field. Gaining practical experience through internships or entry-level positions, developing technical skills, and obtaining certifications can improve your chances of securing a junior engineering role.

What are popular job titles related to Jr Engineer jobs in Redmond, WA?

For Jr Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Jr Engineer jobs in Redmond, WA look for?

The top searched job categories for Jr Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Jr Engineer jobs?

Cities near Redmond, WA with the most Jr Engineer job openings:

Jr Engineer jobs near you
Infographic showing various Jr Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $80,412 per year, or $38.7 per hour.

Staff Software Engineer, AI/ML

DigitalOcean

Seattle, WA • On-site

Full-time

Re-posted 16 days ago

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Building AI agents that take real actions is the easy part. Building agents that get better over time - that learn from feedback, correct mistakes, and optimize toward outcomes users actually care about - is one of the hardest open problems in production AI today.
That's what this team works on. As a Staff AI/ML Engineer on our Applied Research team, you'll own the technical direction for feedback-driven learning in DigitalOcean's agentic systems: reward modeling, preference optimization, reinforcement learning, and the evaluation infrastructure needed to measure whether any of it is actually working.
This is a senior IC role with broad technical scope. You'll set direction, run experiments at scale, and close the loop between user signals and model behavior - shipping research into production, not just writing it up.
What You'll Be Doing
Own the feedback learning roadmap
  • Define and execute the applied research agenda for feedback-driven agentic AI - from reward modeling and preference optimization to online learning and human feedback loops.
  • Translate user feedback, human evaluation data, and product signals into concrete training and optimization strategies.
  • Stay close to the research frontier on RLHF, RLAIF, DPO, PPO, GRPO, and related methods and know when to apply them versus when simpler approaches win.

Build production learning systems
  • Design and implement learning loops that improve agent reasoning, planning, tool use, and action execution over time.
  • Build evaluation frameworks that measure what matters: reasoning quality, instruction following, task success, safety, and real user outcomes - at both offline and online scale.
  • Run large-scale experiments that connect model changes to measurable improvements in user experience and business impact.

Provide technical leadership
  • Set technical direction across modeling, experimentation strategy, evaluation design, and production readiness - without requiring direct management authority.
  • Partner closely with product, engineering, design, and research teams to move work from prototype to shipped capability.
  • Communicate complex AI systems clearly to both technical and non-technical stakeholders.
What You'll Add to DigitalOcean
We're looking for engineers who have shipped real learning systems - not just prototyped them. You likely bring:
  • 8+ years of experience building production AI/ML systems - LLMs, GenAI, agentic systems, recommendation, search, personalization, or applied research at scale.
  • Hands-on experience improving AI systems through reinforcement learning, reward modeling, fine-tuning, human feedback, or preference optimization - with results you can point to.
  • Strong understanding of agentic AI: reasoning, planning, tool use, action execution, instruction following, and self-correction.
  • Strong software engineering in Python and at least one production systems language.
  • The judgment to balance model quality, product impact, latency, reliability, cost, and maintainability - and communicate those tradeoffs clearly.
Preferred Qualifications
Strong signal
  • Experience with agent evaluation, offline/online experiments, and human feedback loops in production.
  • Direct experience with RLHF, RLAIF, DPO, PPO, GRPO, or related optimization techniques.
  • Prior Staff, Senior Staff, Tech Lead, or equivalent senior IC experience.

Nice to have
  • Master's or PhD in CS, ML, AI, or a related field - or equivalent depth demonstrated through industry work.
  • Experience with production ML infrastructure: model serving, observability, data pipelines, feature stores, or experimentation platforms.
  • Research contributions via publications, patents, open-source work, or demonstrated applied research impact in RL, reward modeling, evaluation, or recommendation systems.
Compensation Range:
  • $271,000 - $216,800

*This is a hybrid role
JR: 2026-7947
#LI-Hybrid
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

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