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Remote Machine Learning Software Engineer Jobs in Sacramento, CA

Senior Data Engineer

Sacramento, CA · Remote

$130K - $170K/yr

... and machine learning infrastructure for manufacturing and research environments. Our systems ... Remote within the United States * Must be authorized to work in the U.S. without employer ...

Recruiter

El Dorado Hills, CA · On-site +1

$41/hr

Demonstrated success recruiting for technical positions such as Software Engineers, QA Engineers ... Experience supporting remote and hybrid hiring. * Familiarity with employer branding and talent ...

Field Systems Engineer

Davis, CA · On-site +1

$120K - $140K/yr

Manufacturing Execution System * programmable logic controllers * network infrastructure * software ... • Remote flexibility • Flexible time off • Comprehensive benefits package • Career ...

Our team is a blend of solar industry veterans and newbies, thought-leaders, dreamers, software ... Proficient in mechanical design for manufacturability, including methods like machining, sheet ...

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Showing results 1-20

Remote Machine Learning Software Engineer information

See Sacramento, CA salary details

$67.7K

$157.3K

$219.1K

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

As of Jul 17, 2026, the average yearly pay for remote machine learning software engineer in Sacramento, CA is $157,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $184,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Sacramento, CA? For Remote Machine Learning Software Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Software Engineer jobs in Sacramento, CA look for? The top searched job categories for Remote Machine Learning Software Engineer jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Remote Machine Learning Software Engineer jobs? Cities near Sacramento, CA with the most Remote Machine Learning Software Engineer job openings:
Senior Software Engineer, Cryptography & Secrets Management

Senior Software Engineer, Cryptography & Secrets Management

Keeper Security

El Dorado Hills, CA • Remote

$124K - $164K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Description

Keeper Security is hiring a Senior Software Engineer to join our Keeper Secrets Manager (KSM) team. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA area.

Keeper's cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help build and scale one of our core security products used by developers and enterprises worldwide.

About Keeper

Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper's cybersecurity solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, as well as ISO 27001, 27017 and 27018 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by millions of individuals and thousands of organizations, Keeper is the leader for password, passkey and secrets management, privileged access, secure remote access and encrypted messaging. Learn how our zero-trust and zero-knowledge solutions defend against cyber threats at KeeperSecurity.com.

About the Job

As a Senior Software Engineer on the KSM team, you will design, develop, and maintain security-critical backend services, SDKs, and integrations that power Keeper Secrets Manager. This role requires a polyglot engineer with deep cryptography expertise. You will work across multiple programming languages and SDKs and are expected to understand cryptographic primitives at an implementation level, not just through high-level libraries. This is not a single-language role.. You will collaborate closely with other senior engineers and security leaders to ensure KSM meets the highest standards for security, correctness, and long-term maintainability.

Responsibilities:

  • Design, develop, and maintain secure backend services and APIs for Keeper Secrets Manager
  • Build and maintain SDKs and integrations used by developers across multiple languages
  • Implement and review cryptographic functionality including encryption, key management, and signing workflows
  • Work fluently across multiple programming languages depending on SDK, platform, and security requirements
  • Contribute to architectural decisions related to cryptography, secrets handling, and secure system design
  • Ensure performance, reliability, and security of KSM services in production environments
  • Participate in code reviews with a strong focus on correctness, security, and cryptographic soundness
  • Maintain clear technical documentation and contribute to open-source components where applicable
  • Stay current with modern cryptography standards, emerging threats, and post-quantum developments

Requirements:

  • 5+ years of professional software engineering experience in backend or platform development
  • Strong proficiency across multiple programming languages, including several of the following: Java, JavaScript, Python, .NET, Go, Rust, and Ruby
  • Demonstrated ability to move fluently between languages based on SDK, platform, performance, or security requirements
  • Strong understanding of cryptography concepts, including symmetric and asymmetric encryption, elliptic curve cryptography, and secure key management
  • Familiarity with post-quantum cryptography concepts and emerging algorithms
  • Experience implementing, reviewing, or debugging cryptographic code beyond simply calling third-party libraries
  • Strong understanding of secure coding practices, threat modeling, and secrets management systems
  • Experience designing and building APIs, SDKs, or integration-heavy platforms
  • Strong problem-solving, debugging, and communication skills
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Benefits:

  • Medical, Dental & Vision (inclusive of domestic partnerships)
  • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
  • Voluntary Short/Long Term Disability Insurance
  • 401K (Roth/Traditional)
  • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)

Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Classification: Exempt