Washington

Developer Jobs in Washington

146 jobs found

Include remote jobs

Today

Machine Learning Engineer - Multimodal Intelligence

Apple Seattle, WA

Seattle, WA

Today

$142k - $263k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

Apply Now

Job Description

Apple’s Multimodal Intelligence team is building pipelines, infrastructure, and production systems that translate multimodal foundation models into shipping Apple Intelligence features. This role focuses on end-to-end model delivery, from data curation and training through evaluation and deployment, with an emphasis on meeting on-device and hybrid execution constraints.

Key Responsibilities

Design and build pipelines, infrastructure, and production systems that enable multimodal foundation models to ship as Apple Intelligence features.
Own end-to-end model delivery, including scaling data curation and training pipelines; fine-tuning and optimizing large multimodal models for on-device and hybrid execution; and implementing reproducible evaluation and regression testing for text and visual understanding.
Harden approaches into robust, maintainable production systems while accounting for real constraints such as latency, memory, power, and privacy.
Collaborate closely with modeling, platform, hardware, and product engineering teams across Apple to ensure implementation decisions account for future hardware design and product needs.
Work broadly with cross-functional partners to deliver strong product outcomes.

Required Qualifications

Master’s or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or a related technical field.
Deep expertise in multimodal foundation models with a focus on practical applications.
A track record of translating research into practical applications, through published work or industry experience.
Applied research experience in at least one major area of model development, including data curation, pre-training, fine-tuning, alignment, or evaluation, particularly for multimodal systems.
Experience building large-scale training pipelines, including working with large datasets and scaling models across distributed systems.
Experience bridging research ideas with production constraints.
Demonstrated deep learning work in at least one area of multimodal systems, such as vision, language, video, or audio.
Proficiency in Python and experience with a modern deep learning framework such as PyTorch or JAX.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Ability to work effectively in a collaborative environment.
Ability to communicate analysis results clearly and effectively.
BS degree plus a minimum of 3 years of relevant industry experience.

Technical Skills

Python
PyTorch
JAX

Location

Seattle, WA (onsite)

Compensation

The base pay range for this role is USD 142,300 to 263,300 per year. Base pay will depend on skills, qualifications, experience, and location.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary restricted stock unit awards
Participation in Apple’s Employee Stock Purchase Plan allows eligible employees to purchase Apple stock at a discount
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Discretionary bonuses or commission payments, as well as relocation (eligibility may apply)

View full job page →

1d ago

Sr. Data Engineer

City of Seattle Seattle, WA

Seattle, WA

1d ago

$62 - $93/hr Full time Senior Amazon Web Services AWS

Apply Now

Job Description

The City of Seattle is hiring a Senior Data Engineer to support the Seattle Police Department’s Data Analytics Platform (DAP) and related data systems.

Responsibilities

Partner with data scientists, data architects, developers, business stakeholders, program managers, and external partners to convert requirements into well-engineered data products.
Assess emerging tools and AWS services for feasibility, cost, and business value to inform long-term technology strategy.
Coordinate Seattle IT resources to support and enhance the Seattle Police Data Analytics Platform (DAP) Data Mart/Warehouse.
Lead production support, including operational monitoring and troubleshooting, stakeholder support, and infrastructure design through development, testing, and deployment.
Support operations that may include work outside standard business hours.
Plan, build, and implement improvements to AWS-based analytics systems, on-premises data stores, and analytical models.
Evaluate requirements, feasibility, and resource needs, then deliver updated data products in collaboration with stakeholders and technical teams.
Research future-state analytics approaches using emerging technologies and AWS services; evaluate feasibility, cost, business value, and resource impact.
Participate in strategic discussions and presentations with leadership.
Build and maintain scalable, secure, high-performance data pipelines and ETL/ELT processes.
Ensure observability, testability, reliability, and workflow automation through CI/CD and monitoring.
Provision, manage, and optimize AWS data resources.
Develop and maintain clear documentation for pipelines, architecture, and data models.
Review code, mentor teammates, and support skill development.
Define and enforce standards for schema evolution, versioning, and overall data quality.
Monitor and remediate security vulnerabilities identified by AWS Inspector.
Collaborate with data scientists, architects, developers, and other technical teams to deliver data products.

Requirements

Bachelor’s degree in computer science, business information systems, database management, or related field (or equivalent combination of experience in lieu of a degree).
5+ years demonstrating proficiency with database technologies, SQL, scripting, performance optimization, scheduling, and integration tools such as Oracle, SQL Server, PostgreSQL (plus ETL/ELT tools and scheduling/integration frameworks).
4+ years delivering data solutions that support business and operational needs, including developing data warehouses, operational data stores, and analytics models.
3+ years designing reliable, observable, and testable data pipelines, implementing automation, CI/CD practices, and workflow orchestration.
3+ years designing and recommending architectures for large-scale analytics initiatives, assessing resource requirements, and working extensively with AWS cloud services, including cloud-native analytics tools such as CloudFormation, S3, Glue, Python, Spark, Lambda, and Athena, plus the ability to design, build, and support cloud-based data warehouses, datamarts, and curated data stores, including data migrations, resource provisioning, and security, privacy, and cost management (text truncated).
Demonstrated experience working in Agile environments using tools such as Jira, Confluence, SharePoint, and Teams.
Strong written, verbal, and visual communication skills; ability to tailor technical information for diverse audiences.
Ability to translate high-expectation customer discussions into clear, actionable business requirements and structured solution designs.
Experience collaborating with technical and non-technical stakeholders, including business owners, program managers, data scientists, data architects, developers, and external partners.
Ability to build confidence through transparent communication, follow-through, and a structured approach to aligning on priorities, timelines, and deliverables.
Familiarity with analytics and reporting tools such as Tableau, plus a commitment to learning emerging data technologies for future-state planning.
Experience supporting data science and machine learning workflows (for example, feature pipelines and model deployment) using SageMaker or similar platforms.

Technologies

AWS
SQL
Oracle
SQL Server
PostgreSQL
ETL/ELT
CI/CD
AWS Inspector
CloudFormation
S3
Glue
Python
Spark
Lambda
Athena
Jira
Confluence
SharePoint
Teams
Tableau
SageMaker
Agile
workflow orchestration
data warehouses
operational data stores
analytics models
data pipelines
ETL/ELT processes

Salary

Full pay range: $62.26 - $93.41 per hour.
Individual role salary based on experience, training, and internal equity.

Telework Expectations

Hybrid work schedule flexibility.
Minimum requirement of three days onsite per week (subject to change at any time at the mayor’s discretion).
Schedules based on operational needs and agreement between the employee and their supervisor.

Benefits

Vacation, holiday, and sick leave
Medical, dental, vision, life and long-term disability insurance for employees and their dependents
Free public transportation options

Application & Selection Process

Complete online application with accurate contact information and relevant work history going back at least 10 years (or more if necessary), including all job duties, dates of employment, and reasons for leaving explained clearly.
Complete supplemental questions.
Provide a complete application.
Attachments will not be reviewed.
Applicants screened for competitiveness, completeness, and attention to detail.
Most competitive candidates will be invited to interview.

Who May Apply

Open to all qualified candidates that meet the minimum qualifications.
The City of Seattle values diverse perspectives and life experiences.
Applicants will be considered regardless of race, color, creed, national origin, ancestry, sex, marital status, disability, religious or political affiliation, age, sexual orientation, or gender identity.
The City encourages applications from people of all backgrounds, including people of color, immigrants, refugees, women, LGBTQ, people with disabilities, veterans, and those with diverse life experience.

Why Join the City of Seattle

The City recognizes that every City employee must play a role in ending institutional and structural racism.
To cultivate an antiracist culture, employees are expected to engage in the Race and Social Justice Initiative by working to dismantle racist policies and procedures, unlearn established practices, and provide equitable processes and services.

Background Check

Hiring process includes a background check of conviction and arrest records in compliance with Seattle’s Fair Chance Employment Ordinance (SMC14.17).
Applicants will have an opportunity to explain or correct background information.

Criminal Justice Information Services (CJIS) Certification

Must pass a criminal background investigation and obtain CJIS certification for work on Seattle Police systems.
Visit Qualifications - Police | seattle.gov for specific criteria.

View full job page →

1d ago

Software Engineer

Starfish Space Inc. Tukwila, WA

Tukwila, WA

1d ago

$100k - $180k/yr Full time Engineering Programming Programming Languages

Apply Now

Job Description

Starfish Space Inc. is seeking a software engineer to help develop and test autonomous space environment software for its Otter satellite servicing vehicle.

Responsibilities

Develop space environment simulation software and supporting infrastructure to support refinement of autonomous software
Build and maintain cloud infrastructure
Automate simulation analysis to improve iteration speed
Support integrations with satellite compute hardware

Requirements

Must be a US person (citizen or permanent resident)
Willing to work onsite in Tukwila, Washington
Education or experience in software development
Capable of working in a dynamic, fast-paced startup environment

Technologies

Python
C++

Desired Experience

B.S. degree or equivalent in Computer Science, Aerospace Engineering, or similar field
Working knowledge of Python and C++
Previous experience with numerical simulations

ITAR / Export Compliance

Must conform to U.S. government space technology export regulations, including the International Traffic in Arms
Must be a U.S. citizen, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State

Location

Tukwila, WA (onsite)

Compensation

USD 100,000 - 180,000 per year

View full job page →

2d ago

Software Engineer

Salesforce Bellevue, WA

Bellevue, WA

2d ago

$117k - $194k/yr Full time Backend Developer Ai Development Tools APIs

Apply Now

Job Description

Join Salesforce to build and operate large-scale distributed systems and public-cloud automation, with AI agent workflows integrated into production processes.

Responsibilities

Develop cloud infrastructure automation tools, frameworks, workflows, and validation platforms across public cloud providers including AWS, GCP, Azure, or Alibaba
Design, build, debug, and operate resilient distributed systems running across thousands of compute nodes in multiple data centers
Ship production-grade software using modern engineering practices, integrating AI as a core part of the development workflow via tools such as Cursor, Windsurf, Claude, and the OpenAI API
Use and contribute to open source technologies including Spinnaker and Zookeeper
Create Infrastructure-as-Code using Terraform
Write microservices using containerization and orchestration frameworks such as Kubernetes, Docker, and Mesos
Design and orchestrate complex systems so AI agents integrate reliably into human workflows at scale
Contribute to a shared system context repository containing system designs, constraints, and standards to support accurate and reliable AI operation
Evaluate code (human or AI-generated) for correctness, quality, security, and performance
Resolve complex technical issues and drive improvements to availability, resilience, and performance
Balance live-site management, feature delivery, and the retirement of technical debt
Participate in the team on-call rotation to address real-time issues and keep services highly available

Requirements

Related technical degree required
3+ years of backend software development experience
Strong programming knowledge in Java, Golang, Python, or Ruby
Experience owning and operating multiple instances of a critical service
Experience with Agile development methodology and Test Driven Development
Experience with critical infrastructure services including monitoring, alerting, logging, and reporting
Experience with distributed database systems and relational databases such as PostgreSQL is a plus
A demonstrated, genuine AI-first approach to engineering, using AI to move faster and contribute beyond core specialty
Experience using AI tools in development workflows (e.g., Claude Code, GitHub Copilot, Codex, Cursor)
Advanced prompt engineering skills, including writing precise, structured prompts and building system context to make AI outputs reliable, secure, and production-ready

Technologies

AWS, GCP, Azure, Alibaba
Java, Golang, Python, Ruby
Cursor, Windsurf, Claude, OpenAI API
Spinnaker, Zookeeper
Terraform
Kubernetes, Docker, Mesos
Claude Code, GitHub Copilot, Codex
PostgreSQL

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, submit a request via the Accommodations Request Form.

Compensation

Salary range: $117,200 - $194,200 per year
Typical base salary range: $117,200 - $176,700 annually
In select cities within the San Francisco and New York City metropolitan area: $141,200 - $194,200 annually
Range represents base salary only; does not include company bonus, sales incentives, equity, or benefits (as applicable)

Location: Bellevue, WA (onsite)

Experience: 3+ years

View full job page →

2d ago

Senior Software Engineer

Walmart Bellevue, WA

Bellevue, WA

2d ago

$108k - $216k/yr Full time Senior APIs Artificial Intelligence

Apply Now

Job Description

Walmart is hiring a Senior Software Engineer in Bellevue, WA for an onsite role focused on delivering scoped features and services through collaborative engineering teams. In this position, you will build and maintain high-quality software, integrate AI and ML capabilities, and help strengthen operational excellence through monitoring and debugging.

What you’ll do

Own delivery of scoped features and model work end to end, including implementation, iteration, testing, and ongoing support with collaborative teams.
Write clean, efficient, reliable code across multiple languages and drive the full software development lifecycle, including CI/CD and automated testing.
Integrate AI and ML components to improve software intelligence by leveraging internal and external APIs.
Translate high-level designs into detailed, scalable, and maintainable solutions aligned with platform objectives.
Perform code reviews, debugging, and defect management to ensure software quality and performance.
Partner with stakeholders to convert business needs into technical requirements and measurable outcomes.
Monitor application performance and support continuous improvement through proactive testing and observability.

Key skills and experience

Proven expertise in object-oriented programming and documentation-based coding practices.
Strong technical acumen with experience in code review, debugging, and continuous development.
Demonstrated ability to deliver scoped features or models through collaborative engineering teams.
Ability to integrate AI/ML components and leverage generative AI tools to enhance development.
Experience across the software development lifecycle, including CI/CD, automated testing, and monitoring.
Capability to design scalable, secure, and maintainable software solutions aligned with business goals.
Effective collaboration and communication across technical and non-technical stakeholders.
Commitment to engineering excellence, innovation, and continuous improvement.

Technologies

CI/CD
Automated testing
Observability
Object-oriented programming
AI and ML
Generative AI

Minimum qualifications

Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area, plus 3 years of experience in software engineering or related area.
Option 2: 5 years of experience in software engineering or related area.

Preferred qualifications

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year of experience in software engineering or related area.
Background creating inclusive digital experiences, including knowledge of implementing WCAG 2.2 AA standards, assistive technologies, and integrating digital accessibility.
Knowledge of accessibility best practices aligned with Walmart accessibility standards and guidelines for supporting an inclusive culture.

Compensation and location

Salary: USD 108,000 to 216,000 per year.

Primary location: 10900 Ne 4th St, Bellevue, WA 98004, United States of America.

Benefits

Performance-based bonus awards
Health benefits including medical, vision, and dental coverage
401(k)
Stock purchase
Company-paid life insurance
Paid time off (PTO, including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U (Walmart-paid education benefit program for full-time and part-time associates)

View full job page →

2d ago

Software Engineer II - Machine Learning Engineer

Uber Seattle, WA

Seattle, WA

2d ago

$171k - $190k/yr Full time Backend Developer Ai Ml Artificial Intelligence

Apply Now

Job Description

Build AI/ML intelligence that improves real-world consumer experiences. On Uber’s Consumer Incentives team, you’ll help ship products and scalable distributed systems that support grocery and food experiences for hundreds of millions of global users. This role includes end-to-end ownership, from scoping and offline evaluation through experimentation, production deployment, and post-launch maintenance.

Based in Seattle, WA (onsite), you’ll collaborate closely with product management, operations, and data science to deliver outcomes that support Uber’s growth and long-term profitability.

What you’ll do

Launch products that drive key consumer experience and business outcomes.
Own projects across the full lifecycle: initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
Design, tune, and enhance systems and algorithms to run effectively at scale.
Partner with cross-functional stakeholders across product management, operations, and data science.

What you bring

3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.).
Proficiency in at least one programming language: Python, Go, or Java.
Strong communication skills and the ability to work effectively with cross-functional partners.
A strong sense of ownership to move projects end-to-end.

Tech you’ll use

Python
Go
Java

Nice to have

Experience designing and delivering large-scale consumer products.
Experience developing, evaluating, and deploying ML models and algorithms in production.
Experience in experimental design and causal inference.

Compensation and benefits

Salary range: USD 171,000 to 190,000 per year.

Eligible to participate in Uber’s bonus program.
May be offered an equity award and other types of comp.
Eligible to participate in a 401(k) plan.
Eligible for various benefits.

Location and work setup

Seattle, WA (onsite). Unless approved for full remote work, employees must spend at least 50% of their time in-office.

View full job page →

2d ago

Senior Machine Learning Engineer, Advertiser Growth

Unity Technologies SF Olympia, WA

Olympia, WA

2d ago

$166k - $273k/yr Full time Artificial Intelligence Big Data Data Analysis

Apply Now

Job Description

Unity’s Advertiser Growth team is hiring a Senior Machine Learning Engineer to lead ML systems that protect budget reliability and improve marketplace performance.

Responsibilities

Design and tune pacing controllers (including PID and probabilistic forecasting) to smooth advertiser spend across different time zones and traffic spikes.
Drive backend integration of Generative AI models (Diffusion, LLMs) to automate production of image and video creative aligned to campaign goals and formats.
Build and scale infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to quantify marketplace changes on advertiser ROI and platform health.
Architect and operate high-throughput billing pipelines that process billions of events with 100% accuracy, connecting real-time ad delivery to mission-critical financial reconciliation.
Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation outcomes to adjust pacing and billing logic.

Requirements

Advanced degree in computer science or a relevant engineering field (or equivalent experience).
6+ years of software engineering experience, with 3+ years working on ads delivery systems.
Proven ability building and operating large-scale, low-latency backend systems using Java, Go, or Scala.
Deep familiarity with budget control systems, feedback loops, or spend-prediction algorithms.
Experience building or scaling experimentation platforms, including variance reduction, handling interference or network effects, and designing metrics for marketplace contexts.
Track record on mission-critical pipelines such as billing, payments, or clearinghouses where data precision, idempotency, and fault tolerance are essential.
Experience or strong interest in backend workflows to serve, scale, and store Generative AI models for creative generation.
Real-time stream processing experience with Kafka, Flink, or Spark, applied to event-based charging and real-time feedback loops.
Ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a fast-growing environment.

Technologies

PID, probabilistic forecasting
Diffusion, LLMs
A/B testing, switchback tests, long-term holdouts
Java, Go, Scala
Kafka, Flink, Spark

Compensation

Base salary range: USD 165,600 to 273,400 per year
Zone A: USD 210,300 to 273,400
Zone B: USD 187,200 to 243,300
Zone C: USD 165,600 to 215,200
Beyond base salary, the role may be eligible for equity awards and participation in company incentive plans (such as annual discretionary bonuses or sales commissions).
Final offer depends on geographic location, relevant experience, professional background, and skill set.

Benefits

Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Support for new parents through leave and family-care programs
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program

Additional Information

Location: Olympia, WA (onsite)
English requirement: sufficient knowledge of English for professional verbal and written communication with colleagues and partners worldwide.
You might also have experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.