Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
Seeking a Senior Staff Engineer proficient in Python and Typescript for full stack development, including backend services and cloud technologies. Responsibilities include CI/CD practices and data engineering tasks.
Top Skills:
Arize PhoenixAWSAzureChromadbDatadogDockerElk StackEvent StreamingFastapiGithub ActionsGitlab CiKubernetesLangsmithMlflowPgvectorPub/Sub ArchitecturePythonReactSentryTerraformTypescriptW&B
Fitness • Healthtech • Retail • Pharmaceutical
The Lead Machine Learning Engineer designs and implements scalable software and ML solutions, optimizes workflows, conducts evaluations, and collaborates closely with data scientists to enhance the performance of ML algorithms.
Top Skills:
AWSAzureC++DockerFast ApiGCPHTTPJavaKubernetesLangchainLlamaindexMachine LearningPythonPyTorchScikit-LearnSoftware EngineeringSQLTensorFlow
Fintech • Financial Services • Cryptocurrency
As a Java Software Engineer, you will develop and maintain essential crypto services, collaborate in a high-performance team, and ensure quality through code reviews and testing.
Top Skills:
DockerJavaKubernetesPostgresRedisSpring
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
- Strong programming proficiency in Python (OOP, Async/Await, etc.).
- Strong programming proficiency in Typescript/React and FE development experience.
- Previous experience building backend web services (FastAPI or similar).
- Previous experience with cloud provider managed services (AWS, Azure) and IaC (Terraform).
- Previous experience with containerization and container app deployments (Docker, Kubernetes, etc.).
- Previous experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.).
- Previous experience with application logging/monitoring (Sentry, ELK stack, Datadog, etc.).
- Strong knowledge with service integrations and protocols (REST, streams, web sockets, webhooks).
- Strong knowledge with distributed tasks using queues and consumers, pub/sub architecture
Qualifications
Must have Skills: React (Strong), Python (Expert), Docker (Strong), AWS.
Nice to Have Skills:
- Previous experience building a user-facing GenAI/LLM software application.
- Previous experience with vectors and embeddings (pgvector, chromadb).
- Knowledge of LLM RAG/Agent core concepts and fundamentals.
- Previous experience with MLOps/LLMOps tools (Arize Phoenix, LangSmith, MLFlow, W&B, etc.).
- Data engineering experience (data modeling, data pipelines, event streaming, etc.).
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute