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Linkedin Software Engineer Jobs in Seattle, WA (NOW HIRING)

Applied AI Software Engineer

Bellevue, WA · On-site

$170K - $260K/yr

Strong programming skills in Python, including software engineering methodologies and best ... Professional development reimbursement along with a subscription to LinkedIn Learning * Cell Phone ...

Software Engineer III - Robotics Redmond, WA (Hybrid - 3 days in-person) Join our team at Genie and ... LinkedIn Learning. * For more information on why Terex is a great place to work click on the link

Staff Software Engineer

Bellevue, WA · On-site

$212K - $270K/yr

... LinkedIn, Stripe, and Wayve to run millions of mission-critical workflows on the platform. These ... Address the needs and challenges of data scientists and engineers, advocating for user- centric ...

Senior Software Engineer - Fullstack

Seattle, WA · On-site

$139K - $183K/yr

... by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the ... Software Engineer positions offer a base pay range of $180,000-$220,000 plus equity and benefits.

... by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the ... Software Engineer positions offer a base pay range of $166,250 - $183,750, plus equity and benefits.

... LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our ... About the Role Join Twitch's Memberships team within the Commerce Engineering organization, where ...

Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve ... To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we ...

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch ... Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application ...

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch ... Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application ...

Showing results 21-40

Linkedin Software Engineer information

See Seattle, WA salary details

$72.3K

$168K

$234K

How much do linkedin software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for linkedin software engineer in Seattle, WA is $167,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a LinkedIn software engineer do?

A LinkedIn Software Engineer is responsible for designing, developing, testing, and maintaining software applications and systems that power LinkedIn’s platform. They work with large-scale distributed systems, collaborate with cross-functional teams, and focus on delivering features that improve user experience and platform reliability. Their role often involves writing efficient code, solving complex technical problems, and ensuring the performance and security of LinkedIn’s services. Software Engineers at LinkedIn may specialize in areas such as backend, frontend, data infrastructure, or machine learning.

What are some common challenges faced by software engineers at LinkedIn, and how are they addressed?

Software Engineers at LinkedIn often work on large-scale, high-traffic systems, which can present challenges such as ensuring reliability, scalability, and security. Collaborating with cross-functional teams—like product managers, designers, and data scientists—is key to overcoming these challenges. LinkedIn fosters a supportive environment with regular code reviews, mentorship programs, and opportunities for professional development, helping engineers navigate complex technical problems and grow their skills.

What are the key skills and qualifications needed to thrive as a LinkedIn software engineer, and why are they important?

To thrive as a LinkedIn Software Engineer, you need strong programming skills in languages like Java, C++, or Python, a solid grasp of computer science fundamentals, and typically a relevant degree in computer science or a related field. Familiarity with large-scale distributed systems, cloud platforms, version control tools like Git, and software development methodologies is essential, and certifications in cloud technologies can be advantageous. Excellent problem-solving abilities, effective communication, and a collaborative mindset help engineers stand out in this role. These skills ensure that engineers can efficiently build scalable, reliable products that meet LinkedIn's high standards and support collaboration in dynamic teams.

What is the difference between Linkedin Software Engineer vs LinkedIn Data Scientist?

AspectLinkedin Software EngineerLinkedIn Data Scientist
Required CredentialsBachelor's or higher in CS, Software Engineering, or related fieldsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentDevelops software applications, collaborates on engineering projectsAnalyzes data, builds models, provides insights for product decisions
Employer & Industry UsageTech companies, social media platforms, software firmsTech companies, social media, analytics firms

Linkedin Software Engineers focus on building and maintaining software systems, while LinkedIn Data Scientists analyze data to inform product strategies. Both roles require technical skills and are integral to LinkedIn's operations, but they differ in daily tasks and expertise areas.

What are popular job titles related to Linkedin Software Engineer jobs in Seattle, WA?

For Linkedin Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:

Infographic showing various Linkedin Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $167,980 per year, or $80.8 per hour.

Applied AI Software Engineer

MediaAlpha

Bellevue, WA • On-site

$170K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.
Hybrid role: 3 days/week in office
Role Overview
As a Staff Machine Learning Engineer at MediaAlpha, you will lead the design and development of LLM-powered applications for our internal teams and ad serving platform. You will be accountable for end-to-end systems: owning strategy, architecture, implementation, and operations. You will collaborate with engineering, product, and business stakeholders to deliver intelligent systems that solve real business problems.
The ideal candidate is a strong engineer with hands-on experience building LLM-powered applications in production, who works well across organizational boundaries and improves the conditions of any area they are in. We are an intentionally small organization, designed for agility, speed, and workability.
Responsibilities
  • Own the full software development lifecycle of LLM-powered systems, from requirements through production deployment and operational health.
  • Design and implement retrieval-augmented generation (RAG) systems, tool-use patterns, and multi-step reasoning workflows.
  • Integrate LLM-based services into MediaAlpha's products, internal tools, and data ecosystem.
  • Drive architectural decisions balancing capability, cost, latency, and maintainability.
  • Establish evaluation frameworks and metrics to measure application quality and business impact.
  • Work directly with stakeholders to define product capabilities and develop new features and integrations.
  • Be a champion of instilling excellence in coding, testing, and quality into the team and culture.
  • Mentor engineers on LLM application development patterns and best practices.

Requirements
  • 9+ years of experience in software development.
  • Experience designing and owning systems end-to-end, including 3-tier architectures, data flows, APIs, deployments, and operational health.
  • Strong programming skills in Python, including software engineering methodologies and best practices.
  • Hands-on experience building LLM-powered features in production.
  • Experience with RAG architectures, including vector databases, embedding models, and retrieval strategies.
  • Practical prompt engineering skills with demonstrated ability to iterate and evaluate quality.
  • Familiarity with core ML concepts (classification, evaluation metrics, embeddings) and the judgment to know when traditional ML approaches outperform LLM-based solutions.
  • Experience with agent frameworks and tool-use patterns (MCP, function calling, etc.).
  • Familiarity with cloud environments (AWS preferred: EC2, S3, Bedrock).
  • A self-starter who works independently, is comfortable with ambiguity, and pays careful attention to detail.
  • Experience collaborating with engineers and non-technical stakeholders.
  • Ability to articulate and communicate clearly, concisely, and thoughtfully.
  • Organized and self-motivated.
  • B.S. required, preferably in a technical discipline (e.g., computer science).

Compensation & Benefits
We are excited to offer a total base compensation of $170,000 to $260,000 per year for this position based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:
  • Annual bonus program and participation in our Restricted Stock Unit program
  • 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
  • 100% Employer paid long term disability, and life insurance
  • 401(k) retirement plan with matching contributions to help you plan for your future
  • Open Paid Time Off policy with a Birthday Hookie day off, 13 holidays, and 5 Recharge days
  • Professional development reimbursement along with a subscription to LinkedIn Learning
  • Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App
  • 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver
  • Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement

Diversity, Equity, and Inclusion
MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change.
Fair Chance
MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.