New York, NY

Machine Learning Engineer – Sports

Talener

Our client is a rapidly growing tech start-up company in the Sports Betting industry. Over the past few years, they have secured several rounds of funding and have grown to about 50 employees, with a large-portion being in technology. The organization leverages the latest technologies to create proprietary products focused on revolutionizing the way fans engage with sports. As Machine Learning Engineer, you will work on a collaborative team focused on building the sports-betting models that power their product. 
Job Title:  Machine Learning Engineer
 
Job Type: Full-time/Perm
 
Location:  100% Remote (Office in NYC available for local candidates). Must be in US and eligible to work for any US employer to be considered. No C2C or sponsorship can be provided at this time. 
 
Required Technology and Skills:
 
  • 2+ years of professional experience building ML models as a Machine Learning Engineer, Data Scientist, Data Engineer, and/or Software Engineer
  • Demonstrated experience (professional or in personal projects) or strong interest in sports, sports betting, working with sports data
  • Strong skills and understanding of Python and the Python ML ecosystem (Pandas, Nump, PyTorch, etc). 
  • Experience working cross-functionally with data engineering and product
 
Additional Skills: 
 
  • Start-up experience, desire/experience working in a highly collaborative environment
  • Software engineering background – strong coding skills
  • Self-starter with strong ability to learn new things and adapt to new technologies
  • Passion for solving complex technical challenges
 
Salary Range: $150,000 – $180,000 base salary (based on experience), + Significant Equity
 
Benefits and Perks:
 
  • 100% Remote, flexible environment (Office in NYC if local candidates would like to work in hybrid model)
  • Health, dental, vision benefits
  • 15+ PTO days
  • Fun, diverse and passionate company culture
  • Opportunity to have large impact on a small-team at a rapidly growing tech company
  • Collaborative environment with great leadership
 
Client:  Tech Start-up product company in the Sports Gaming and Betting industry
 
 
If interested, please apply directly for immediate consideration or reach out to Andrew Zaloom for more information: [email protected] 
 
#LI-Remote
 

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As Machine Learning Engineer, you will work on a collaborative team focused on building the sports-betting models that power their product.&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><br></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-family: Tahoma, Geneva, sans-serif; font-size: 14px;"><strong>Job Title:</strong></span><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong><strong>&nbsp;</strong>Machine Learning Engineer</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Job Type:&nbsp;</strong>Full-time/Perm</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Location:</strong><strong>&nbsp;</strong><strong>&nbsp;</strong>100% Remote (Office in NYC available for local candidates). Must be in US and eligible to work for any US employer to be considered. No C2C or sponsorship can be provided at this time.&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Required Technology and Skills:</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><ul type="disc"><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">2+ years of professional experience building ML models as a Machine Learning Engineer, Data Scientist, Data Engineer, and/or Software Engineer</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Demonstrated experience (professional or in personal projects) or strong interest in sports, sports betting, working with sports data</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Strong skills and understanding of Python and the Python ML ecosystem (Pandas, Nump, PyTorch, etc).&nbsp;</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Experience working cross-functionally with data engineering and product</span></span></li></ul><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Additional Skills:</strong>&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><ul type="disc"><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Start-up experience, desire/experience working in a highly collaborative environment</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Software engineering background &ndash; strong coding skills</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Self-starter with strong ability to learn new things and adapt to new technologies</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Passion for solving complex technical challenges</span></span></li></ul><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="width:36pt;">&nbsp;</span></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Salary Range:&nbsp;</strong>$150,000 – $180,000 base salary (based on experience), + Significant Equity</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Benefits and Perks:</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><ul type="disc"><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">100% Remote, flexible environment (Office in NYC if local candidates would like to work in hybrid model)</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Health, dental, vision benefits</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">15+ PTO days</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Fun, diverse and passionate company culture</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Opportunity to have large impact on a small-team at a rapidly growing tech company</span></span></li><li style="line-height:12.95pt;font-family:serif;font-size:13px;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">Collaborative environment with great leadership</span></span></li></ul><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>Client:</strong>&nbsp; Tech Start-up product company in the Sports Gaming and Betting industry</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;"><strong>&nbsp;</strong></span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">If interested, please apply directly for immediate consideration or reach out to Andrew Zaloom for more information: <a href="mailto:[email protected]"><span style="color: rgb(5, 99, 193);">[email protected]</span></a>&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-size: 14px;"><span style="font-family: Tahoma,Geneva,sans-serif;">&nbsp;</span></span></div><div style="line-height:12.95pt;background-color:#ffffff;"><span style="font-family: Tahoma, Geneva, sans-serif; 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