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SoundThinking · 1 day ago

Technical Leader, Data Engineering & ML Platform

Fremont, CA

Full-time

Onsite

Senior Level

SoundThinking is seeking a hands-on technical leader with engineering velocity who owns end-to-end delivery of ML products from research to production. The role involves architecting transformer models, building MLOps infrastructure, and leveraging AI agents to enhance productivity.

Public Safety

H1B Sponsor Likely

Responsibilities

Roll up your sleeves : Build models, debug distributed training, optimize transformer inference (cloud & edge), review ML code

Architect self-service ML platform on Databricks/MLflow that dramatically accelerates time-to-production

Deploy AI agents for automation: code generation, pipeline optimization, testing, documentation, monitoring alerts

Fine-tune and deploy transformer models using Huggingface ; optimize for latency, cost, and edge constraints

Build fast iteration loops : automated training pipelines using Spark/Ray , one-click deployments, instant rollbacks

Design edge inference solutions: model quantization, TFLite/ONNX conversion, on-device optimization

Eliminate bottlenecks : use AI-assisted tooling to automate manual processes, generate boilerplate, accelerate development

Establish CI/CD for ML: automated testing, validation, deployment enabling continuous releases

Leverage AI agents to multiply team productivity: automated code reviews, test generation, feature engineering suggestions

Build AI-powered developer tools: intelligent debugging assistants, automated documentation, performance optimization

Use LLMs for workflow automation: data quality checks, model evaluation reports, incident triage

Create AI copilots for common tasks: pipeline creation, model deployment, configuration management

Experiment with agentic workflows for complex automation: multi-step data processing, autonomous model tuning

Own delivery from experimentation → production (cloud & edge) with aggressive focus on cycle time reduction

Ship MVPs quickly; iterate based on production feedback

Remove blockers relentlessly through hands-on problem solving

Build MLOps infrastructure: automated retraining, A/B testing, monitoring, drift detection

Measure and optimize velocity metrics: deployment frequency, lead time, automation coverage

Build force-multiplier platforms : enable data scientists to ship faster through automation and AI tooling

Create reusable components, AI-powered templates, and patterns eliminating repetitive work

Share knowledge; reduce onboarding time through AI-generated documentation and interactive guides

Foster "ship and iterate" culture: bias toward action, fast feedback loops, AI-assisted development

Celebrate speed AND quality; make doing the right thing the fast thing

Scale high-velocity ML team shipping production impact continuously

Drive platform strategy focused on AI-powered developer productivity and automation

Partner cross-functionally to reduce dependencies and enable parallel workstreams

Qualification

PythonPyTorchTensorFlowDatabricksMLOpsHuggingfaceSparkRayCI/CDAI AgentsEdge inferenceDockerKubernetesAWSGCPAzureSoft skills

Required

Deep hands-on ML/data science experience; proven track record leading technical teams

Expert in Python, PyTorch/TensorFlow, transformers, Huggingface

Production experience with Databricks, MLflow, Spark, Ray

Deep expertise in LLMs: fine-tuning (LoRA, PEFT), optimization, RAG, embeddings

Edge inference experience: model compression, quantization, TFLite/ONNX, on-device deployment

Track record accelerating velocity: built platforms, automation, AI-powered developer tools

Experience deploying AI agents for workflow automation and productivity enhancement

Strong MLOps and CI/CD experience; with reducing deployment friction

Company

SoundThinking

SoundThinking, Inc.

Founded in 1996

Fremont, California, US

201-500 employees

http://www.soundthinking.com

H1B Sponsorship

SoundThinking has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (7)