We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... control stack, including QUA, Qualibrate, and the OPX1000. * Work directly with customers and ...
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... control stack, including QUA, Qualibrate, and the OPX1000. * Work directly with customers and ...
Staff Machine Learning Engineer
Santa Barbara, CA · On-site +1
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
Staff Machine Learning Engineer
Santa Barbara, CA · On-site +1
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
Quick apply
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...
... full context of property management workflows. This foundation allows us to build context-aware ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
... full context of property management workflows. This foundation allows us to build context-aware ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
Principal Machine Learning Engineer
Santa Barbara, CA · On-site +1
Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
Principal Machine Learning Engineer
Santa Barbara, CA · On-site +1
Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
Quick apply
Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment ... Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent ...
Sr. Machine Learning Engineer
Santa Barbara, CA · On-site +1
$116K - $159K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Sr. Machine Learning Engineer
Santa Barbara, CA · On-site +1
$116K - $159K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Sr. Machine Learning Engineer
$112K - $154K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Sr. Machine Learning Engineer
$112K - $154K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Sr. Machine Learning Engineer
$112K - $154K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Quick apply
Sr. Machine Learning Engineer
$112K - $154K/yr
... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...
Sr. Staff / Staff / Senior Engineer - Full Stack
Santa Barbara, CA · On-site
$140K - $350K/yr
... and machine learning to translate these everyday insights into high-impact health guidance ... This isn't a traditional full stack role-it's for an engineer who is fully committed to integrating ...
Sr. Staff / Staff / Senior Engineer - Full Stack
Santa Barbara, CA · On-site
$140K - $350K/yr
... and machine learning to translate these everyday insights into high-impact health guidance ... This isn't a traditional full stack role-it's for an engineer who is fully committed to integrating ...
Staff Machine Learning Engineer - Leasing
$18.25 - $21.50/hr
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Staff Machine Learning Engineer - Leasing
$18.25 - $21.50/hr
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Staff Machine Learning Engineer - Leasing
$18.25 - $21.50/hr
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Quick apply
Staff Machine Learning Engineer - Leasing
$18.25 - $21.50/hr
Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...
Senior Software Engineer - Full Stack
Santa Barbara, CA · On-site
$160K - $230K/yr
... the full stack. Code Quality * Raise the bar through your own example and through rigorous, constructive code review. * Write code and documentation that guides both human engineers and AI agents ...
Quick apply
Senior Software Engineer - Full Stack
Santa Barbara, CA · On-site
$160K - $230K/yr
... the full stack. Code Quality * Raise the bar through your own example and through rigorous, constructive code review. * Write code and documentation that guides both human engineers and AI agents ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Deep Learning Algorithm Developer with Security Clearance
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Deep Learning Algorithm Developer with Security Clearance
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is ...
Backend Software Engineer
$123K - $170K/yr
NET • Ability to reason fluently across a full backend stack: APIs, business logic, data access ... engineer or an AI to implement without ambiguity, and equally comfortable presenting ideas ...
Backend Software Engineer
$123K - $170K/yr
NET • Ability to reason fluently across a full backend stack: APIs, business logic, data access ... engineer or an AI to implement without ambiguity, and equally comfortable presenting ideas ...
Staff Software Engineer - Investor/Owner
$167K - $209K/yr
Collaborate as a peer with Product, Design, and Machine Learning leaders to bridge the gap between ... Operate in a highly autonomous team that owns the full lifecycle of solutions you build, from ...
Staff Software Engineer - Investor/Owner
$167K - $209K/yr
Collaborate as a peer with Product, Design, and Machine Learning leaders to bridge the gap between ... Operate in a highly autonomous team that owns the full lifecycle of solutions you build, from ...
Afternoon Full Stack Machine Learning Engineer information
See Goleta, CA salary details
$48K - $62.3K
1% of jobs
$62.3K - $76.7K
3% of jobs
$76.7K - $91K
4% of jobs
$91K - $105.3K
5% of jobs
$105.3K - $119.6K
11% of jobs
$120.4K is the 25th percentile. Wages below this are outliers.
$119.6K - $133.9K
15% of jobs
The median wage is $143.3K / yr.
$133.9K - $148.3K
17% of jobs
$148.3K - $162.6K
17% of jobs
$165.3K is the 75th percentile. Wages above this are outliers.
$162.6K - $176.9K
13% of jobs
$176.9K - $191.2K
9% of jobs
$191.2K - $205.5K
5% of jobs
$48K
$145.4K
$205.5K
How much do afternoon full stack machine learning engineer jobs pay per year?
As of Aug 1, 2026, the average yearly pay for afternoon full stack machine learning engineer in Goleta, CA is $145,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $170,500.00 per year, depending on experience, location, and employer.
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What job categories do people searching Afternoon Full Stack Machine Learning Engineer jobs in Goleta, CA look for? The top searched job categories for Afternoon Full Stack Machine Learning Engineer jobs in Goleta, CA are:
What cities near Goleta, CA are hiring for Afternoon Full Stack Machine Learning Engineer jobs? Cities near Goleta, CA with the most Afternoon Full Stack Machine Learning Engineer job openings:
Full-time
Re-posted 3 days ago
Job description
Description
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies.
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will work at the intersection of machine learning, quantum physics, and software engineering, translating noisy, non-stationary, safety-critical control problems into ML solutions that run on real hardware in production labs.
You will develop reinforcement learning policies, Bayesian inference methods, and agentic frameworks that make quantum control more autonomous, more sample-efficient, and more robust to drift. This position offers unprecedented exposure to diverse qubit types and quantum architectures, with a tight feedback loop between your models and the systems they steer, and the opportunity to deliver groundbreaking ML-driven solutions to the labs and companies defining the next generation of quantum systems.
Responsibilities:
Requirements
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies.
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will work at the intersection of machine learning, quantum physics, and software engineering, translating noisy, non-stationary, safety-critical control problems into ML solutions that run on real hardware in production labs.
You will develop reinforcement learning policies, Bayesian inference methods, and agentic frameworks that make quantum control more autonomous, more sample-efficient, and more robust to drift. This position offers unprecedented exposure to diverse qubit types and quantum architectures, with a tight feedback loop between your models and the systems they steer, and the opportunity to deliver groundbreaking ML-driven solutions to the labs and companies defining the next generation of quantum systems.
Responsibilities:
- Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
- Develop real-time parameter steering for calibration during QEC and between circuits.
- Develop and maintain agentic frameworks for autonomous system control and calibration.
- Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
- Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
- Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.
Requirements
- PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
- Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
- Strong Python proficiency, including scientific or systems-oriented codebases
- Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
- Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
- Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
- Proven software development track record and excellent technical communication skills
- Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
- Experience with sim-to-real, multi-objective RL, or meta-learning- advantage