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Remote Mechatronics Engineer Jobs in Goleta, CA (NOW HIRING)

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Remote Mechatronics Engineer information

See Goleta, CA salary details

$64.2K

$97.7K

$165.6K

How much do remote mechatronics engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote mechatronics engineer in Goleta, CA is $97,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $113,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote mechatronics engineers while working off-site?

Remote Mechatronics Engineers often encounter challenges such as diagnosing hardware issues without physical access to equipment, coordinating multidisciplinary project tasks across time zones, and ensuring clear communication with on-site personnel. To overcome these, they rely heavily on remote collaboration tools, virtual simulations, and detailed documentation. Successful engineers in this role proactively set up regular check-ins with team members and use real-time data monitoring to resolve issues quickly. Adapting to these challenges can offer valuable experience and strengthen your ability to manage complex projects in a distributed work environment.

Can remote mechatronics engineers work from home?

Remote mechatronics engineers can often work from home, especially when their tasks involve designing, programming, and testing systems using CAD software, simulation tools, and remote communication platforms. However, some roles may require on-site presence for hardware installation, maintenance, or testing in labs or manufacturing environments. The feasibility depends on the company's policies and the specific responsibilities of the position.

What is a remote mechatronics engineer?

A Remote Mechatronics Engineer designs, develops, and troubleshoots mechanical, electrical, and software systems from a remote location. They work on automation, robotics, and smart systems, collaborating with teams using digital tools for design, simulation, and testing. Communication is typically done via online platforms, and they may use remote access to interact with hardware systems. This role requires expertise in mechanical design, electronics, control systems, and programming. It is ideal for professionals who can work independently while ensuring seamless integration of mechatronic components remotely.

Are remote mechatronics engineers in high demand?

Remote mechatronics engineers are in increasing demand due to the growth of automation, robotics, and IoT technologies across industries. Skills in embedded systems, control engineering, and CAD are highly valued, and remote work options are expanding as companies adopt flexible work arrangements. The demand is expected to continue rising as technological innovation accelerates.

What are the key skills and qualifications needed to thrive as a remote mechatronics engineer?

To thrive as a Remote Mechatronics Engineer, you need a strong background in mechanical, electrical, and software engineering, typically supported by a degree in mechatronics or a related field. Experience with CAD software, PLC programming, robotics platforms, and simulation tools is highly valued, as well as relevant certifications like Certified Mechatronics Technician. Excellent problem-solving abilities, self-motivation, and strong communication skills are crucial, especially when collaborating with remote teams. These competencies ensure you can efficiently design, troubleshoot, and improve automated systems while coordinating effectively from a distance.

What cities near Goleta, CA are hiring for Remote Mechatronics Engineer jobs? Cities near Goleta, CA with the most Remote Mechatronics Engineer job openings:

Sr. Machine Learning Engineer

AppFolio, Inc.

Santa Barbara, CA • On-site, Remote

$116K - $159K/yr

Full-time

Re-posted 6 days ago


AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

183rd of 243 rated software companies


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 hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.

Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain 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
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.

Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

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: 167,200 - 209,000 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.
#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.

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