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Remote Machine Learning Jobs in Santa Cruz, CA (NOW HIRING)

Netflix

Product Manager, Personalization

Los Gatos, CA · On-site +1

... remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be ... Experience managing consumer products leveraging machine learning (e.g recommendation systems) with ...

Netflix

Product Manager, Personalization

Los Gatos, CA · On-site +1

... remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be ... Experience managing consumer products leveraging machine learning (e.g. recommendation systems ...

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 ...

Chess

Adjunct Instructor of Auto Body

San Jose, CA · On-site +1

Remote work options for locations outside of the United States are not permitted. This position ... tools, equipment, machinery, and safety procedures. * Evaluate student learning through ...

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

Remote Machine Learning information

See Santa Cruz, CA salary details

$29.4K

$49.2K

$101.6K

How much do remote machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning 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 is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Santa Cruz, CA? The most popular types of Machine Learning jobs in Santa Cruz, CA are:
What job categories do people searching Remote Machine Learning jobs in Santa Cruz, CA look for? The top searched job categories for Remote Machine Learning jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Remote Machine Learning jobs? Cities near Santa Cruz, CA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,170 per year, or $23.6 per hour.

Lead Software Engineer, Ads (Remote)

Jane Technologies

Santa Cruz, CA • On-site, Remote

$175K - $195K/yr

Full-time

Re-posted 29 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.

$175,000 - $195,000 a year
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.

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