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Remote Machine Learning Engineer Jobs in Santa Cruz, CA

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · 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 ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · 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 ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

New

aiXplain

General Application

San Jose, CA · On-site +1

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 ...

YO AI Labs

CNC Machinist Expert - Remote

Palo Alto, CA · Remote

$50 - $100/hr

You will provide expertise in CNC machine setup, operation, precision measurement, blueprint ... Interpret engineering drawings, GD&T , and manufacturing documentation. * Provide feedback on ...

New

YO AI Labs

CNC Machinist Expert - Remote

San Jose, CA · Remote

$50 - $100/hr

You will provide expertise in CNC machine setup, operation, precision measurement, blueprint ... Interpret engineering drawings, GD&T , and manufacturing documentation. * Provide feedback on ...

New

Vianai Systems

Customer Engineer

Palo Alto, CA · On-site +1

$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 ...

Vianai Systems

Customer Engineer

Palo Alto, CA · On-site +1

$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 ...

Workato

Forward Deployed Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... Machine Learning, or a related field * A total of 4+ years of relevant experience in design ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications. * You will collaborate with a diverse team of ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications. * You will collaborate with a diverse team of ...

YO AI Labs

SolidWorks Expert - Remote

San Jose, CA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

YO AI Labs

SolidWorks Expert - Remote

Palo Alto, CA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Santa Cruz, CA

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 22, 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 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 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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Santa Cruz, CA?

The most popular types of Machine Learning Engineer jobs in Santa Cruz, CA are:

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:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $148,685 per year, or $71.5 per hour.

Lead Software Engineer, Ads (Remote)

Jane Technologies

Santa Cruz, CA • Remote

$190K - $222K/yr

Full-time

Re-posted 11 days ago

Job description

Company Overview:
Jane Technologies is an MIT-founded eCommerce company in the cannabis industry experiencing rapid growth. We believe in cannabis's ability to bring well-being, health, and love to the world, and our mission is to bring confidence to the online cannabis shopping experience. Our platform connects consumers with local dispensaries and brands, creating a seamless shopping experience and delivering industry-leading insights to our retail, brand, and integration partners.

Dispensaries use Jane to sell cannabis products compliantly and efficiently. Brands plug into the platform to reach shoppers via personalized sponsored content. Shoppers engage with Jane’s online menus to make purchasing decisions via rich product content and verified reviews. These services come together to form a tightly integrated ecosystem - creating diversified revenue streams for Jane and a win-win-win equation for the industry.

Learn about our team, our culture, and if Jane is the right fit for you.
Check out our company at: https://www.iheartjane.com/team#careers
What You Will Do
  • Lead a team of software engineers building scalable services, APIs, and SDKs that power our digital merchandising platform.
  • Work cross-functionally with other technical leads to establish shared prioritization frameworks and ensure delivery stays aligned with roadmap goals
  • Drive architecture and design decisions for the ads platform, setting technical direction and building consensus across the team in conjunction with staff engineers
  • Work with Product Managers to make Jane’s advertising product offerings sound, robust and easy to use. 
  • Work with Data Scientists and Machine Learning Engineers to collect data, analyze data, and use data to improve advertising through iterations. 
  • Own and evolve engineering standards for the team, including code quality, review culture, and technical process
  • Perform and participate in design reviews and code reviews.
  • Identify and resolve performance bottlenecks through delegation.
  • Manage and grow a team of 3-4 engineers through regular 1:1s, goal-setting, and performance feedback
  • Partner with engineering leadership on hiring: help define roles, evaluate candidates, and assess technical leveling
  • Identify gaps in team capability or process and propose concrete improvements. You don't wait to be asked.
Qualifications
  • 6+ years of professional software engineering experience in a product-centered team.
  • 2+ years in a lead or people-management role, with a track record of shipping meaningful work through a team, not just as an individual contributor,
  • Demonstrates lead-level ownership: navigates ambiguity with the team and leadership. Proactively moves work forward against business goals.
  • Experience with AdTech systems, ideally retail media, sponsored listings, or marketplace advertising. Hands-on with one or more of: ad serving and real-time decisioning, campaign pacing and budgeting, or attribution and measurement. You understand the constraints that make AdTech distinct: low-latency decisioning at scale, accurate pacing and billing, and closing the loop from impression to conversion.
  • Systems-level problem solver: comfortable navigating ambiguous, high-complexity challenges across distributed systems and infrastructure.
  • Strong Computer Science fundamentals: data structures, algorithms, and code design principles.
  • Proficiency in at least one system language (Go preferred, Java, etc.) with a demonstrated ability to pick up new languages and adapt to a rapidly evolving stack.
  • Database fluency: familiar with relational, columnar, and document-based databases with a strong sense of their respective strengths and ideal use cases.
  • Strong technical communication: expresses ideas clearly through well-crafted code, written documentation, and team communication with both technical and non-technical audiences
  • Collaborative by nature: as eager to mentor and share knowledge as to learn from others, with a genuine passion for craft and how great software gets built.
  • Experience proposing, provisioning and testing infrastructure with cloud ops: Terraform (preferred), Cloudformation, etc.
Jane Technologies is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Jane Technologies, Inc. participates in the federal government’s E-Verify program, which confirms employment authorization of all newly hired employees in conjunction with the Form I-9 Employment Eligibility Verification. E-Verify is not used as a tool to pre-screen candidates. For up-to-date information on E-Verify, go to www.uscis.gov and click on 'E-Verify' located near the bottom of the page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.