Senior Machine learning/Computer vision engineer
: Job Details :

About Our Company:

Daddy Sports is committed to making sports simulation widely accessible. The future of sport is practiced and played at-home or in specialized training facilities. We're making simulators affordable and accessible starting with Golf. We built a $99 golf simulator that is disrupting an industry where the average cost of a simulator is $5000. On all fronts we've received tons of recognition, but we're most proud of our community of over 200,000 supporters on TikTok, Instagram, and YouTube. We started 2 years ago and we're very early on in our journey, join us today as we blast through an otherwise slow industry and be part of this sports revolution where we turn every sport into an every day option.

Check us out at Golfdaddy.com or in hundreds of stores across the country. (Dicks sporting goods, Golf Galaxy, and more)

What you'll do:

• Build the latest and greatest machine learning for sports simulation & improvement
• Build computer vision models
• Build tabular ML models
• Research & Work with biomechanics and physics concepts to analyze golf swings
• Find solutions to increase fidelity of results or decrease computational requirements in different areas
• Deploy on premise mobile device models
• Deploy heavy machine learning models onto servers
• Architect systems to distribute computational resources across many servers for optimized performance
• Collaborate on real world scrappy and innovative data collection strategies
• Work really hard & close with the founding team to solve the biggest technological issues facing the growth of golf

What you'll need:

• 7+ Years computer vision and machine learning experience
• 3+ AWS experience
• Experience working with SOTA video and image models

Culture:

We work PST 5 days per week, 8am to 5pm. Most will tell you they'd prefer to be nowhere else. There is unparalleled excitement and energy with the speed at which we're growing and a catalyst to grow your career with the trajectory we're on. If you want to join an early startup with 1000% YoY growth this is for you.