Top 16 staff engineer Jobs in goleta, ca

Staff Machine Learning Engineer
AppFolio —Santa Barbara, CA
- $200,000 - $250,000 a year
- Full-time
- System design
- APIs
- Senior level
4d
Staff Data & Automation Engineer
AppFolio —Santa Barbara, CA
- $152,000 - $190,000 a year
- Full-time
- System design
- SQL
- Mentoring
Staff Systems Engineer
B. Braun SE —Goleta, CA
- $150,000 - $185,000 a year
- English
- Master's degree
- Bachelor's degree
- Health insurance
- 401(k)
Project Engineer, Staff
Redwire Space —Goleta, CA
- $145,000 - $180,000 a year
- Background check
- Bachelor of Science
- 8 years
Quick Apply
8d
Staff Quality Engineer - Goleta, CA
Lockheed Martin Corporation —Goleta, CA
- $99,700 - $198,720 a year
- Full-time
- Mid-level
- Analysis skills
- Bachelor's degree
- Paid jury duty
- Paid holidays
4d
Staff Product Manager, Platform
AppFolio —Santa Barbara, CA
- $152,000 - $190,000 a year
- Full-time
- System design
- SQL
- Senior level
Sr. Staff / Staff / Senior Data Engineer
Evidation —Santa Barbara, CA
- $140,000 - $350,000 a year
- Full-time
- Remote
- SQL
- Mentoring
- Senior level
Quick Apply
Staff Water Resources Engineer or Scientist
Geosyntec Consultants, Inc. —Santa Barbara, CA
- $28.54 - $33.80 an hour
- Full-time
- Civil engineering
- Mid-level
- Office
- Paid holidays
- Disability insurance
Sr Staff Semiconductor Process Engineer
Lockheed Martin Corporation —Goleta, CA
- $134,000 - $267,145 a year
- Full-time
- 7 years
- In-person
- Senior level
- Paid jury duty
- Paid holidays
Staff Engineer, Back End Platform
BXGI —Santa Barbara, CA
- Email
- Software troubleshooting
- Mid-level
- Office
- Health insurance
- Dental insurance
Staff Software Engineer - Investor/Owner
AppFolio —Santa Barbara, CA
- $167,200 - $209,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Sr. Staff / Staff / Senior Engineer - Full Stack
Evidation —Santa Barbara, CA
- $140,000 - $350,000 a year
- Full-time
- System design
- 11+ years
- Office
Quick Apply
Staff Silicon Physical Design Engineer, Quantum AI
Google —Goleta, CA
- Full-time
- Schematics
- 5 years
- Office
3d
Staff Engineer Analog IC Design Engineer
Analog Devices —Santa Barbara, CA
- $131,285 - $190,108 a year
- Full-time
- Laboratory experience
- Doctor of Philosophy
- Travel
- Paid holidays
- Health insurance
Loan Closet Staff
VNA Health —Santa Barbara, CA
- $21 - $24 an hour
- Full-time
- Current TB test
- Mechanic experience
- Ability to walk for extended periods
- 403(b) matching
- AD&D insurance

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Staff Data & Automation Engineer
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staff engineer jobs near goleta, ca

Staff Machine Learning Engineer

AppFolio -
Santa Barbara, CA

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Job Details

Full-time
$200,000 - $250,000 a year
4 days ago

Qualifications

AI models
GPU programming
Cost management
Software engineering
GPU architecture
Amazon ECS
Amazon SageMaker
Cost control
AI platforms (beyond public GPTs)
Scalable systems
Reducing cloud infrastructure costs
Production systems
Machine learning cloud services
Docker
Model deployment
Developing large-scale AI models
Cloud Native Design
Model training
DevOps automation
Python
MLOps
Generative AI

Full Job Description

Hi, We're AppFolio

We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.

Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.

At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.

Who We Are Looking For

We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.

This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base.

Your Impact

ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics.
Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.

Qualifications

Systems thinker: You think in terms of platforms and long-term leverage, not just features.
Production builder: You've built and scaled ML infrastructure in production with meaningful business impact.
Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes.
Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
Sustainability: You value work-life balance as a foundation for sustained high performance.
Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.

Must Have

ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.

Nice to Have

Experience training Small Language Models for production use.
GPU performance tuning (vLLM, TensorRT, Triton, or similar).
Prior Staff-level role at a company with a significant AI infra footprint.
Experience with ontology-driven systems or knowledge graphs supporting AI applications.
Contributions to open-source ML infrastructure or LLM tooling.

Location

Find out more about our locations by visiting our site.

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is: $200,000 - 250,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.

Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.

Regular full-time employees are eligible for benefits - see here.

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Refine Your Search

staff engineer jobs in goleta, ca

Staff Machine Learning Engineer

Staff Data & Automation Engineer

Staff Systems Engineer

Project Engineer, Staff

Staff Quality Engineer - Goleta, CA

Staff Product Manager, Platform

Sr. Staff / Staff / Senior Data Engineer

Staff Water Resources Engineer or Scientist

Sr Staff Semiconductor Process Engineer

Staff Engineer, Back End Platform

Staff Software Engineer - Investor/Owner

Sr. Staff / Staff / Senior Engineer - Full Stack

Staff Silicon Physical Design Engineer, Quantum AI

Staff Engineer Analog IC Design Engineer

Loan Closet Staff

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