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Shadow Machine Jobs in Pacifica, CA (NOW HIRING)

Rubrik

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to work on their Semantic AI Governance Engine ... shadow, and A/B traffic patterns so new model variants are validated against live customer traffic ...

ALSO.

Senior Software Engineer, Algorithms + ML

Palo Alto, CA · On-site

$144K - $190K/yr

... machine learning, and edge AI to develop and deploy algorithms and ML models across various ... shadow testing, telemetry analysis, and offline evaluation. • Design and maintain input/output ...

ALSO

Senior Software Engineer, Algorithms + ML

Palo Alto, CA · On-site

$144K - $189K/yr

... machine learning, and edge AI. In this role, you will take ambiguous customer and product needs ... Analyze model and algorithm performance using experimentation, A/B testing, shadow testing ...

Flagright

Product Operations Intern

San Francisco, CA · On-site

Interest in AI, machine learning, or intelligent automation as applied to compliance or risk What ... Real responsibilities - not coffee runs or shadow tasks * A front-row seat to how enterprise B2B ...

Zeitview

Senior MLOps Engineer I

San Francisco, CA · On-site +1

$123K - $169K/yr

... e.g., shadow deployments, rollback procedures) to reduce risk. * Cloud Infrastructure & CI/CD ... machine learning teams. * Solid, applied knowledge of MLOps practices, with the ability to work ...

Zeitview

Senior MLOps Engineer I

San Francisco, CA · On-site

$123K - $169K/yr

... e.g., shadow deployments, rollback procedures) to reduce risk. * Cloud Infrastructure & CI/CD ... machine learning teams. * Solid, applied knowledge of MLOps practices, with the ability to work ...

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All JobsShadow Machine JobsShadow Machine Jobs in Pacifica, CA

Shadow Machine information

What types of collaborative projects can employees at Shadow Machine expect to work on, and how does teamwork typically function within the studio?

At ShadowMachine, employees frequently collaborate on animated television series, films, and commercials, often working in multidisciplinary teams that include animators, writers, directors, and producers. The studio fosters a creative and communicative environment, where regular meetings and open feedback are encouraged to ensure project alignment and innovation. Team members are expected to contribute ideas, adapt to changing project needs, and support each other's creative growth, making collaboration a central aspect of daily work. This dynamic structure not only enhances the quality of the projects but also offers valuable learning opportunities for career advancement.

What is Shadow Machine?

ShadowMachine is an American animation studio known for producing television shows, films, and commercials, especially using stop-motion and other animation techniques. They are best recognized for their work on popular series such as 'BoJack Horseman,' 'Robot Chicken,' and 'Final Space.' The studio collaborates with various creators to develop unique and innovative animated content for a wide range of audiences. ShadowMachine is not a job title, but rather the name of a production company within the animation industry.

What are the key skills and qualifications needed to thrive as an animation producer at Shadow Machine?

To thrive as an Animation Producer at ShadowMachine, you need strong project management abilities, deep understanding of animation pipelines, and experience in television or film production, often supported by a relevant degree. Familiarity with industry-standard software like Toon Boom, Adobe Creative Suite, and production tracking tools such as ShotGrid is typically expected. Exceptional communication, leadership, and problem-solving skills help you coordinate teams and manage complex creative projects. These skills ensure efficient production workflows, timely delivery, and high-quality animated content.

What is the difference between Shadow Machine vs Motion Designer?

AspectShadow MachineMotion Designer
Required CredentialsOften a degree in animation, film, or related field; strong portfolioSimilar credentials; focus on animation, graphic design, or multimedia degrees
Work EnvironmentAnimation studios, post-production houses, or freelanceAdvertising agencies, media companies, or freelance
Industry UsagePrimarily in animation and entertainmentIn advertising, digital media, and entertainment
Common Search/ComparisonShadow Machine vs Motion Designer

Shadow Machine is a production company specializing in animation and entertainment projects, often employing motion designers for visual effects and animation. Motion Designers create animated graphics and visual effects across various media. While both roles require similar skills and credentials, Shadow Machine focuses on production work within the entertainment industry, whereas Motion Designers work across multiple sectors like advertising and digital media.

What cities near Pacifica, CA are hiring for Shadow Machine jobs? Cities near Pacifica, CA with the most Shadow Machine job openings:
Shadow Machine jobs near you
Infographic showing various Shadow Machine job openings in Pacifica, CA as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Senior Machine Learning Operations Engineer

Mercury

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Re-posted 21 days ago

Job description

Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability.
MLP owns the production ML lifecycle: the systems that take a model from registry through deployment, real-time inference, observability, and retraining. Our Data Science colleagues author and train the models; we build the platform that lets them register, deploy, and observe those models in production without carrying the operational burden themselves - and we serve low-latency, highly available scores to the decision engine that depends on them. The platform supports business decisioning broadly, with our first use cases focused on fraud risk outcomes.
At Mercury, we are committed to crafting an exceptional banking* experience for startups. Our team is passionately focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.
* Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
As part of this role, you will:
  • Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability as first-class requirements
  • Own model deployment infrastructure - registry and versioning, CI/CD with performance, bias, and consistency checks, shadow mode, and staged rollouts
  • Build model observability: availability, latency, and error monitoring, plus drift detection as a retraining trigger
  • Partner with Risk Data Science to take models from a clean development-to-production handoff through to production operation under MLP ownership
  • Implement experimentation capabilities such as champion/challenger and canary routing, and explainability outputs like SHAP attributions
  • Feel a strong sense of product ownership and actively seek responsibility - we self-organize on small and medium projects, and we want someone excited to help shape and build a brand-new platform team

The ideal candidate for the role has:
  • 5+ years in machine learning engineering, backend software engineering, MLOps, or a closely related field
  • Production ML service experience - deploying, serving, and operating models in low-latency, high-availability contexts
  • Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
  • Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
  • Experience building observability and alerting for production services - latency, errors, and ideally model-specific signals like drift
  • Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (Redis, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)

Nice to have:
  • Familiarity with a modern data stack (Snowflake, dbt, Dagster, Airflow, or similar)
  • Experience operating in a regulated, audit-sensitive, or compliance-adjacent environment
  • Exposure to functional languages or willingness to work across a stack that includes Haskell, React, and TypeScript

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees (any location): $166,600 - $208,300
  • Canadian employees (any location): CAD 157,400 - 196,800

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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