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Hourly Remote Machine Learning Engineer Jobs in Santa Cruz, CA

Data Scientist

Santa Cruz, CA ยท Remote

$130K - $170K/yr

... algorithms, remote contactless biosensing together with end-to-end engineering services, and ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Lead System Engineer

San Jose, CA ยท On-site +1

$131K/yr

Apply breadth of experience in machine learning systems, engineering expertise, creative problem solving, and develop and demonstrate solutions that meet challenging requirements. Work in ...

AI Systems Performance Engineer

San Jose, CA ยท Remote

$141K - $226K/yr

If you possess a deep understanding of Ethernet fabric, machine learning system demands, and Linux ... Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet)

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... that leverage machine learning at their core. You'll be responsible for building end-to-end ...

Customer Engineer (Remote)

Palo Alto, CA ยท Remote

$140K - $180K/yr

Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning. Who We Are: We are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and ...

Senior AI Scientist

Palo Alto, CA ยท On-site +1

$107K - $146K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Come join a team of industry Engineering and Science leaders to achieve a vision of empowering innovation through state of the art artificial intelligence and machine learning. If you don't see a job ...

... and machine learning. You'll primarily partner with software engineering teams to optimize the ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

Sr. Data Engineer

Palo Alto, CA ยท Remote

$134K - $161K/yr

This is a fully remote position where you will work alongside our backend team (C#/.NET) and ... While this is not a pure ML researcher role, you should understand how machine learning models ...

Showing results 41-60

Hourly Remote Machine Learning Engineer information

See Santa Cruz, CA salary details

$29.4K

$49.2K

$101.6K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for hourly remote machine learning engineer in Santa Cruz, CA is $49,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $53,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.
What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Santa Cruz, CA? For Hourly Remote Machine Learning Engineer jobs in Santa Cruz, CA, the most frequently searched job titles are:
What cities near Santa Cruz, CA are hiring for Hourly Remote Machine Learning Engineer jobs? Cities near Santa Cruz, CA with the most Hourly Remote Machine Learning Engineer job openings:
Infographic showing various Hourly Remote Machine Learning Engineer job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,170 per year, or $23.6 per hour.

Senior Engineer

Hired Recruiters

Palo Alto, CA โ€ข On-site, Remote

$122K - $168K/yr

Full-time

Re-posted 20 days ago


Job description

JOB DESCRIPTION
Role
We're looking for a senior engineer to join the Divebell team. The ideal candidate will have startup experience or be comfortable working at an early stage venture.
Every technical challenge at Divebell will be within scope.
They should bring a strong customer focus and entrepreneurial mindset to their work and collaborate closely with all roles in the company.
Product
Divebell is a SaaS platform which seamlessly integrates with databases, blob stores, SaaS applications and other sources of structured and unstructured data. The ideal candidate will have a solid understanding of modern cloud and data integration.
The product uses ML and ensemble techniques to classify large quantities of data. It must also solve other data oriented problems such as sampling and risk estimation. These challenging engineering problems call for an algorithmic approach and a passion for data, security, privacy and distributed systems.
The ideal candidate will have 4+ years of experience in these domains.
Experience in the following technologies useful but not required:
  • Kotlin
  • Typescript/Angular 2+
  • Spring
  • PostgreSQL
  • Relational and non-relational data stores
  • Data warehouses and data pipelines
  • AWS / GCP / Azure
  • Machine Learning
  • Docker
Location
Candidates based in and around Boston or the San Francisco Bay Area are preferred and we can accommodate hybrid and remote work.