11 large language model engineer jobs at 10 companies in Orting, WA
3w
Save
Mark Applied
Hide
Staff Software Engineer - Ledger
Seattle, Washington, United States
$189k-$315k/yr HybridFull Time
8+ YOE8+ years backend engineering experience in distributed systems; expertise designing large-scale fault-tolerant systems; proficiency in a modern backend language and complex data modeling; high autonomy and domain agility.
Python, Go, Java, SQL, NoSQL, Spark, Flink, Snowflake
2mo
Save
Mark Applied
Hide
Software Engineer
San Francisco or Seattle
$146k-$235k/yr HybridFull Time
5+ YOE5+ years software engineering, distributed systems, backend architecture, ML model deployment, Python plus another typed language, Kubernetes, Kafka/Service Bus, large-scale systems, SLAs/SLOs
Python, Kubernetes, Kafka, Service Bus, Temporal, Ray, Spark, Azure, GCP, Model serving, infrastructure as code
2w
Save
Mark Applied
Hide
Principal AI Customer Engineer
Seattle, Washington, United States
$200k-$250k/yr HybridFull Time
Experience in AI/ML and GenAI, familiarity with large language models and enterprise AI platforms, ability to lead discovery and workshops, shape solution architectures, and collaborate across sales and engineering.
2w
Save
Mark Applied
Hide
Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE
Seattle, Washington, United States
OnsiteFull Time
Experienced engineering manager to lead ML engineers on responsible AI lifecycle: risk assessment, policy definition, mitigation development, and continuous safety improvements across large language and multimodal models.
2w
Save
Mark Applied
Hide
Data Engineer II, AWS Analytics Engineering
Seattle, Washington, United States
$132k-$179k/yr OnsiteFull Time
5+ YOE5+ years data engineering experience, 3+ years building large-scale ETL/ELT and data models, 3+ years SQL, programming in modern languages, experience with data governance and cloud infrastructure.
SQL, Python, Ruby, Golang, Java, C++, C#, Rust, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, RDS
3w
Save
Mark Applied
Hide
Principal Scientist - Data Pipeline Engineer
San Jose or Seattle or San Francisco
$206k-$388k/yr OnsiteFull Time
10+ YOE10+ years in data engineering/ML infrastructure, distributed systems expertise, Python and a systems language, experience with Ray or Spark, GPU inference optimization, large-scale databases and data curation for model training.
Ray, Spark, Python, C++, Rust, Go, Java
1mo
Save
Mark Applied
Hide
Staff Software Engineer, AI/ML
Seattle, Washington, United States
$217k-$271k/yr HybridFull Time
8+ YOE8+ years building production AI/ML systems; experience with reinforcement learning, reward modeling, fine-tuning, human feedback; strong software engineering in Python and another production language; experience shipping learning systems and running large-scale experiments.
Python
2mo
Save
Mark Applied
Hide
AIML - Senior ML Engineer, Responsible AI and Safety
Seattle, Washington, United States
OnsiteFull Time
Lead responsible-AI lifecycle work: assess risks, define policies, develop mitigations, monitor and improve safety of large language and multimodal models.
6d
Save
Mark Applied
Hide
Software Engineer: AI/ML & LLM Intern Opportunities for University Students, Redmond (200042197)
Redmond, Washington, United States
OnsiteInternship
Internship opportunities for university students focused on AI/ML and large language models (LLMs); candidates typically are current students in related fields.
2mo
Save
Mark Applied
Hide
Senior Engineering Manager, AI
Seattle or Austin or Raleigh or Houston or Nashville or Washington or San Diego or Bellevue
$228k-$289k/yr RemoteFull Time
Experience leading ML/AI engineering teams, and delivering production-grade AI systems; strong background in large language models and developer tooling.
1mo
Save
Mark Applied
Hide
Tech Lead, Intelligent Editing (Multimodality)
Seattle, Washington, United States
$233k-$428k/yr OnsiteFull Time
5+ YOEPhD/Masters in CS/math/engineering with 5+ years in computer vision/multimodal research, experience with multimodal understanding, vision-language, language models, large-scale training and RLHF; strong system implementation and problem-solving skills.
RLHF, language models