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Senior Machine Learning Developer
2 months ago
Exciting Role as a Machine Learning Engineer at a Purpose-Driven Health Technology Firm
About the Company:
- Specializes in health technology, mobile applications, artificial intelligence, augmented reality, computer vision, employee benefits, and retail solutions
- Recognized for its mission-driven approach by leading publications
- Experiencing rapid growth following successful funding rounds
- Provides competitive compensation, performance incentives, and attractive equity options
Key Responsibilities:
- Developing an innovative recommendation engine at scale
- Balancing research and coding efforts equally
- Employing various programming languages with an emphasis on production readiness
- Taking ownership of projects with potential support from executive leadership
- Focusing on computer vision, recommendation algorithms, and advanced deep learning techniques
- Creating and testing AI/ML models for diverse applications
- Designing scalable systems and production-ready machine learning models
- Participating in conventional machine learning processes
Required Qualifications:
- Proficiency in computer vision, recommendation algorithms, deep learning, or related machine learning fields
- Advanced degree (PhD or Master's) in Computer Science with a focus on machine learning
- At least 2 years of hands-on experience in machine learning engineering
- Research experience in computer vision and recommendation systems
Preferred Qualifications:
- Experience in startup environments
- Background in developing recommendation systems for retail
- Familiarity with augmented reality technologies
- Product management perspective
About the Recruiting Firm:
Skyrocket Ventures collaborates with rapidly growing technology companies, including this client offering a full-time position. Candidates must be eligible to work in the U.S. While the job may not perfectly align with your profile, we encourage applications that closely match the qualifications. Potential candidates are presented to client companies, creating opportunities for interviews and flexibility in qualifications.
For more personalized job opportunities, please reach out to us directly. When you apply, your resume will also be considered for other relevant roles. We are committed to assisting you in your job search. Best of luck