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Remote Deep Learning Engineer Jobs in Goleta, CA

Sr. Machine Learning Engineer

Goleta, CA ยท Remote

$112.80K - $154.80K/yr

At the foundation are deep agents , built on a real estate ontology and domain primitives ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Sr. Machine Learning Engineer

Santa Barbara, CA ยท Remote

$112.80K - $154.80K/yr

At the foundation are deep agents, built on a real estate ontology and domain primitives ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Sr. Machine Learning Engineer

Santa Barbara, CA ยท On-site +1

$136.30K - $179.70K/yr

At the foundation are deep agents, built on a real estate ontology and domain primitives ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

We are a collaborative, "egoless" team that thrives on continuous learning and pushing the ... Act as the lead architect during deep-dive technical reviews with customer CTOs and Security ...

Senior Security Engineer

Santa Barbara, CA ยท Remote

$127.40K - $174.70K/yr

This is an all-remote team and we are looking for someone located in the U.S. We do not offer visa ... Research emerging threats across the surface web, dark web, and deep web * Build threat models ...

DevOps Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Frontend Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Mobile Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Backend Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Staff Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Senior Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Frontend Software Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Quality Assurance Engineer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

SDLC Engineer - AI Trainer

Ventura, CA ยท Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Showing results 1-20

Remote Deep Learning Engineer information

See Goleta, CA salary details

$11.9K

$90.5K

$151.1K

How much do remote deep learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote deep learning engineer in Goleta, CA is $90,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $150,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What job categories do people searching Remote Deep Learning Engineer jobs in Goleta, CA look for? The top searched job categories for Remote Deep Learning Engineer jobs in Goleta, CA are:
What cities near Goleta, CA are hiring for Remote Deep Learning Engineer jobs? Cities near Goleta, CA with the most Remote Deep Learning Engineer job openings:

Principal Machine Learning Engineer

AppFolio, Inc.

Santa Barbara, CA โ€ข On-site, Remote

Full-time

Posted 28 days ago


Job description

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 seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X.
This is a company-impact role. You will own mission-critical AI capabilities, shape long-term technical strategy, and act as a technical visionary and advisor across teams and leadership.
You'll operate at the intersection of traditional machine learning, deep learning, and generative AI, building systems that go beyond AI assistance into execution, automation, and optimization.
This role is for someone who doesn't just build systems - but redefines how they should be built.
Your Impact:
  • Architect & Lead: Own the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership.
  • Scale Intelligent AI Agents: Design and deploy advanced AI Agentic systems that combine reasoning, planning, and execution.
  • Improve the Foundation: Establish platform primitives and abstractions to enable context-aware, action-oriented AI that goes beyond simple assistance to true automation. Improve the standards for end-to-end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure.
  • Production Excellence: Architect and build scalable, multi-modal, and real-time AI applications, ensuring high-quality deployment standards.
  • ML for Real Estate: set the technical foundation for training, fine-tuning, evaluating, and deploying open source LLM and SLM to production for optimizing performance, latency, and cost.
Qualifications
  • You think in terms of systems, platforms, and long-term leverage, not just features.
  • You've built and scaled ML/AI systems in production with meaningful business impact.
  • You operate effectively in high ambiguity, turning unclear problems into a clear direction
  • You've led or influenced large, cross-team technical initiatives.
  • You introduce new ideas, architectures, or paradigms-not just implement existing ones.
  • You bring a founder / owner-operator mindset: you take ownership, act with urgency, and focus on outcomes.
  • You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have:
  • Master's or Ph.D. in Computer Science, Machine Learning, or a related field (required).
  • 10+ years of experience building software systems, with significant focus on ML/AI (or equivalent impact).
  • Deep expertise across Traditional Machine Learning, Deep Learning, Generative AI / LLMs (prompting, fine-tuning, RAG, agents, tool, and skills use)
  • Strong understanding of the full ML lifecycle: data extraction, model training, evaluation, and deployment. ML models integration in production software.
  • You are an expert in Python, PyTorch, Numpy, AWS, Docker, SQL, embeddings, and RAG.
  • You have experience with LangChain, LangGraph, and LLM observability tools (LangSmith).
  • Experience designing and operating production-grade ML systems at scale
  • Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)
Nice to Have:
  • Experience with ontology-driven systems, knowledge graphs, or semantic layers
  • Experience designing evaluation and benchmarking systems for AI
  • Background in distributed systems and real-time architectures
  • Experience building platforms used by multiple engineering teams
  • Contributions to industry thought leadership (publications, talks, open source, etc.)

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: $264,000 - $330,000 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.
#LI-KB1
About AppFolio
AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com.
Why AppFolio
Grow We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.
Learn We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.
Impact We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.
Connect We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.
Paddle as One.
Learn more at appfolio.com/company/careers
Statement of Equal Opportunity
At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio.