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Remote Roller Coaster Engineer Jobs in California

Field Materials

About the Role As a founding Sales Engineer at Field Materials AI, you will be the technical ... You enjoy "rolling up your sleeves" to figure out how to make a solution work within a customer ...

Neo4j

Consulting Engineer

San Mateo, CA · Remote

... roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting ... Ability to work independently in a remote, cross-functional organization * Curiosity and enthusiasm ...

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

Roll up your sleeves and be tactical: co-develop product roadmap and development timelines; deep ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

Roll up your sleeves and be tactical: co-develop product roadmap and development timelines; deep ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Pano

Platform Engineer

San Francisco, CA · On-site +1

$146K - $220K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... rolling up their sleeves, writing code, and building systems in a startup environment. Someone ...

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Remote Roller Coaster Engineer information

What are the key skills and qualifications needed to thrive as a remote roller coaster engineer, and why are they important?

To thrive as a Remote Roller Coaster Engineer, you need a strong background in mechanical or structural engineering, specialized knowledge in ride dynamics, and a relevant engineering degree or certification. Familiarity with CAD software, simulation tools, and remote collaboration platforms is typically required. Strong problem-solving, communication, and project management skills help you excel in coordinating with multidisciplinary teams and ensuring safety standards. These abilities are crucial for designing innovative, safe roller coasters and efficiently managing projects from a distance.

What is the difference between Remote Roller Coaster Engineer vs Remote Amusement Park Ride Engineer?

AspectRemote Roller Coaster EngineerRemote Amusement Park Ride Engineer
CredentialsEngineering degree, safety certificationsEngineering degree, safety certifications
Work EnvironmentDesign offices, occasional site visitsDesign offices, site inspections
Industry UsageTheme parks, entertainment industryTheme parks, entertainment industry
Job FocusDesigning roller coaster structures and dynamicsDesigning various amusement rides including roller coasters

Remote Roller Coaster Engineers and Remote Amusement Park Ride Engineers share similar credentials and work environments, focusing on designing safe, thrilling rides for entertainment venues. The main difference lies in specialization: roller coaster engineers focus specifically on roller coaster design, while amusement park ride engineers may work on a variety of ride types. Both roles are integral to the theme park industry and often overlap in skills and certifications.

How does a remote roller coaster engineer collaborate with on-site teams during the design and installation process?

As a Remote Roller Coaster Engineer, you'll regularly interact with on-site teams through virtual meetings, digital project management tools, and real-time data sharing platforms. You may be responsible for reviewing design proposals, troubleshooting mechanical or structural issues, and providing guidance during installation or testing phases. Clear communication and documentation are vital, as you'll need to ensure your remote recommendations are accurately implemented by on-the-ground staff. Building strong relationships with project managers, site engineers, and maintenance crews helps ensure seamless collaboration and project success.

What is a remote roller coaster engineer?

A Remote Roller Coaster Engineer is a professional who designs, analyzes, and manages roller coaster projects from a remote location, often using advanced CAD software and simulation tools. They collaborate with on-site teams, architects, and construction managers to ensure safety, compliance, and creativity in roller coaster designs. Their responsibilities may include structural analysis, reviewing safety standards, troubleshooting technical issues, and providing virtual support during installation and maintenance phases. This role allows experts to contribute to amusement park projects worldwide without being physically present at every site.
What are the most commonly searched types of Roller Coaster Engineer jobs in California? The most popular types of Roller Coaster Engineer jobs in California are:
What are popular job titles related to Remote Roller Coaster Engineer jobs in California? For Remote Roller Coaster Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Roller Coaster Engineer jobs in California look for? The top searched job categories for Remote Roller Coaster Engineer jobs in California are:
What cities in California are hiring for Remote Roller Coaster Engineer jobs? Cities in California with the most Remote Roller Coaster Engineer job openings:
Remote Roller Coaster Engineer jobs near you
Infographic showing various Remote Roller Coaster Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 24% In-person, and 76% Remote job distribution.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 25 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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