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Remote Learning Sciences Jobs in Berkeley, CA (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Ideate, develop, and improve machine learning and statistical models that drive Swish's core ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

... Learning, Statistics, and Optimization. The role will report directly to the CTO. Next to the CTO, ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... Learning, Statistics, and Optimization. The role will report directly to the CTO. Next to the CTO, ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

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All JobsLearning Sciences JobsRemote Learning Sciences JobsRemote Learning Sciences Jobs in Berkeley, CA

Remote Learning Sciences information

See Berkeley, CA salary details

$13.5K

$102.7K

$171.4K

How much do remote learning sciences jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote learning sciences in Berkeley, CA is $102,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $170,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Learning Sciences vs Remote Instructional Designer?

AspectRemote Learning SciencesRemote Instructional Designer
Required CredentialsMaster's or PhD in Education, Learning Sciences, Psychology, or related fieldsBachelor's or Master's in Education, Instructional Design, or related areas
Work EnvironmentResearch-focused, data-driven, often involves analyzing learning behaviorsDesign-focused, creating online courses and materials for various clients or institutions
Employer & Industry UsageEducational institutions, research organizations, edtech companiesEducational institutions, corporate training, e-learning companies
Common Search & ComparisonYesNo

Remote Learning Sciences professionals focus on understanding how people learn through research and data analysis, often working in academic or research settings. In contrast, Remote Instructional Designers primarily create and develop online learning materials and courses. While both roles involve online education, Learning Sciences emphasizes research and theory, whereas Instructional Design centers on practical course development.

What are popular job titles related to Remote Learning Sciences jobs in Berkeley, CA?

For Remote Learning Sciences jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Learning Sciences jobs in Berkeley, CA look for?

The top searched job categories for Remote Learning Sciences jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Learning Sciences jobs?

Cities near Berkeley, CA with the most Remote Learning Sciences job openings:

Remote Learning Sciences jobs near you

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 18 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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