We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
AI Research Engineer
Prophecy.io (Headquarters: San Francisco, CA (onsite) and Remote)
Location: San Francisco, CA (onsite) and Remote
|
Full-Time
|
$180,000 -
$240,000
AI
Machine Learning
Research
Data Engineering
AI Engineer
Staff Engineer
About Prophecy.io: Prophecy.io is revolutionizing data engineering by providing enterprise-grade platforms that simplify complex data workflows. With over $120 million in Series B funding, we've grown to serve some of the largest companies globally. Our mission is to empower organizations with intuitive tools that bridge the gap between data analysts and engineers, enabling faster insights and more efficient operations. About The Role: We are seeking an AI Research Engineer to join our innovative team. In this role, you will be at the forefront of developing and deploying cutting-edge AI features that enhance our platform. You'll work on challenging problems that blend research with product development, ensuring that our solutions are both technically sound and practically applicable. This is a unique opportunity to shape the future of data engineering through innovation and collaboration. Key Responsibilities: - Design, develop, and deploy AI-powered features for our data engineering platform - Collaborate with cross-functional teams to define and implement product requirements - Conduct research on the latest advancements in AI and machine learning - Build and maintain models that improve data processing efficiency and accuracy - Create documentation and share knowledge with the engineering team - Stay at the forefront of AI research and industry trends - Mentor junior engineers and contribute to a culture of innovation Required Skills and Qualifications: - M.S. or Ph.D. in Computer Science, AI, or related field - 3+ years of experience in AI research and application - Strong programming skills (Python, Java, or similar) - Proven ability to publish or present research in AI/ML conferences - Experience with machine learning frameworks (TensorFlow, PyTorch, etc.) - Excellent problem-solving skills and ability to tackle ambiguous challenges - Strong collaboration and communication abilities Benefits: - Competitive salary with equity options - Flexible remote/onsite work arrangements - Opportunities for professional development and learning - Collaborative team environment with cutting-edge technology - Work on impactful projects that drive innovation in data engineering - Health benefits, retirement plans, and paid time off Join our team and help us redefine what's possible in data engineering!
Post Date:
June 25, 2025