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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 ...

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

Remote Machine Learning Engineer information

See Santa Cruz, CA salary details

$36.4K

$148.7K

$223.4K

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

As of Aug 10, 2026, the average yearly pay for remote machine learning engineer in Santa Cruz, CA is $148,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $179,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are popular job titles related to Remote Machine Learning Engineer jobs in Santa Cruz, CA? For 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 Remote Machine Learning Engineer jobs? Cities near Santa Cruz, CA with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $148,685 per year, or $71.5 per hour.

Senior Engineer

Hired Recruiters

Palo Alto, CA โ€ข On-site, Remote

$122K - $168K/yr

Full-time

Re-posted 19 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.