| Position | Machine Learning Engineer |
| Posted | 29 Jul 2026 |
| Expired | 28 Aug 2026 |
| Company | Swish Analytics |
| Location | San Francisco | US |
| Job Type | Full Time |
Latest job information from Swish Analytics for the position of Machine Learning Engineer. If the Machine Learning Engineer vacancy in San Francisco matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Swish Analytics for the position of Machine Learning Engineer below matches your qualifications.
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:
Qualifications:
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.
After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer at the office San Francisco above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
Desc: We’re iPostal1 and we’re in growth mode!This is an exciting time to join our team. Headquartered in Rockland County, N.Y., we are an established, cutting-edge leader in the digital mailbox industry. O...
Desc: 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 engine...
Desc: Job SummaryThe Account Executive is responsible for developing, managing, and closing strategic deals within enterprise-level accounts. This role requires a consultative approach to solution selling,...
Desc: Stronghold's mission is to provide fast, secure, and accessible financial services for all. Through our developer APIs, we enable pay-by-bank embedded payments and financial services while pushing the...
Desc: Job DescriptionJob DescriptionBenefits/PerksFlexible SchedulingCompetitive CompensationCareer Advancement OpportunitiesYear-round Work StabilityPTO (Paid Time Off)/HolidaysGroup Health InsuranceOverti...