ML/AI Engineer Pride Technologies LLCML/AI EngineerRedmond, WAOwn end-to-end data processing pipelines for display system characterization data (sensor images, metrology measurements, yield data) across multiple product builds. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.
Lead Machine Learning Engineer - LMTS Salesforce IncLead Machine Learning Engineer - LMTSBellevue, WA$172,500–$260,100 / yearOperationalize Intelligence: By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency. Your work will expose sophisticated threats-such as active system intrusions, lateral movement, beaconing, and insider attacks-that evade traditional defenses, directly reducing the organization's risk surface.
Lead Machine Learning Engineer - Cyber Security (Lmts) Salesforce.com, Inc.Lead Machine Learning Engineer - Cyber Security (Lmts)Bellevue, WA$172,500–$260,100 / yearOperationalize Intelligence: By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency. Your work will expose sophisticated threats-such as active system intrusions, lateral movement, beaconing, and insider attacks-that evade traditional defenses, directly reducing the organization's risk surface.
Machine Learning Engineer - Llms & Generative AI TruvetaMachine Learning Engineer - Llms & Generative AISeattle, WA$155,000–$175,000 / yearapply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG). We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people.
NewMachine Learning Engineer - LLMs & Generative AI TruvetaMachine Learning Engineer - LLMs & Generative AISeattle, WA$155,000–$175,000 / yearapply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG). We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people.
Machine Learning Engineer Manager ZoomMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Machine Learning Engineer ElastixAIMachine Learning EngineerSeattle, WashingtonYou will be responsible for designing and developing critical components, including ML model deployment, innovative model optimization pipelines, and performance benchmarking and simulation workflows. This is a highly interdisciplinary role where you'll collaborate closely with our multi-disciplinary team to ensure our entire stack works in harmony to deliver optimal AI inference solutions.
AI Robotics Engineer Team Red DogAI Robotics EngineerRedmond, WAThis role combines software engineering, machine learning, robotics, and cloud-based model development to help create intelligent robotic systems capable of learning from both simulation and real-world environments. In this hands-on engineering role, you'll develop machine learning pipelines, integrate robotic simulation environments, and deploy AI models that bridge cutting-edge research with real-world robotic systems.
Senior Machine Learning engineer - Distribution & Supply ExpediaSenior Machine Learning engineer - Distribution & SupplySeattle, WashingtonThe Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
NewSenior Machine Learning Engineer ExpediaSenior Machine Learning EngineerSeattle, WashingtonThe Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
NewMachine Learning Engineer MORSE CorpMachine Learning EngineerSeattle, MassachusettsMORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.
Large Machine Learning Model Optimization Engineer, SIML Apple IncLarge Machine Learning Model Optimization Engineer, SIMLSeattle, WASoftware engineering skills in Python Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations BS and a minimum of 3 years relevant industry experienceFamiliar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models MS or PhD degree in Computer Science, or equivalent industry research experience Experience with hardware architecture, software & hardware co-design Leadership experience in driving large-scale projects in the industry Strong communication skills; phenomenal work ethic and collaboration ML compiler High performance kernel implementation Distributed inference. Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products.
Senior Machine Learning Engineer I // II Signifyd IncSenior Machine Learning Engineer I // IISeattle, WARemote$160,000–$190,000 / yearOur advanced technology, combined with a team genuinely invested in our clients' success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Collaborate Across Functions - Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Principal Machine Learning Engineer AxonPrincipal Machine Learning EngineerSeattle, WA$177,000–$283,200 / yearThe ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices.
Senior Staff Machine Learning Engineer Coupang AI Foundations Coupang IncSenior Staff Machine Learning Engineer Coupang AI FoundationsSeattle, WA$174,000–$299,000 / yearWe are looking for experienced and innovative ML engineers with an entrepreneurial mindset to be part of the technical team pioneering in advance AI engineering for e-commerce scenarios at Coupang. Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up.
Senior Machine Learning Engineer AxonSenior Machine Learning EngineerSeattle, WA$150,750–$241,200 / yearWorking closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Staff Machine Learning Engineer, Ads Conversion Core Modeling Pinterest IncStaff Machine Learning Engineer, Ads Conversion Core ModelingSeattle, WA$222,716–$389,753 / yearWe are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
Slalom Flex Project Based- ML Ops Engineer Slalom IncSlalom Flex Project Based- ML Ops EngineerWARemote$80–$100 / hourOwn the end-to-end machine learning production lifecycle, including data ingestion, feature engineering, model deployment, monitoring, and lifecycle management. Working knowledge of Azure cloud services, including Azure Data Lake Storage Gen2 (ADLS), Azure Key Vault, Azure Monitor, Cloud cost optimization practices.
Software Engineer Starshield Space Exploration Technologies CorpSoftware Engineer StarshieldRedmond, WA$125,000–$145,000 / yearThe Starshield software team is building highly reliable in-space mesh networks, designing secure systems to guarantee access to space, designing next-gen communication and sensing software, and more. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Staff Machine Learning Research Engineer, App Store Search Apple IncStaff Machine Learning Research Engineer, App Store SearchSeattle, WAD. in Computer Science or related subject area Proven ability to build & scale Search & Conversational systems, applying 7+ years of hand-on experience across the full product stack - including query understanding, semantic retrieval, multi-stage ranking, indexing, intent classification, and context-aware generation. The ASE Search team is a vital part of Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide set of platforms such as iOS, macOS, tvOS, watchOS, Safari, and 3rd party devices.