AI Research Engineer

Akolades, Inc.; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Unlimited PTO

Learning budget $3,000/year

MacBook Pro & home office stipend

Annual company retreat

Job summary

Akolades, Inc. is building cutting-edge AI research in San Francisco to augment human agency. Join a team focused on ethical AI, privacy, and meaningful human-AI collaboration.

You will research ML/DL methods, collaborate with product and engineering, publish papers, and prototype models for production, with a strong emphasis on responsible AI practices.

Qualifications

• PhD in Computer Science, AI, or related field; strong publication record preferred.
• Proven expertise in ML/DL concepts, algorithms and evaluation.
• Proficient in Python with extensive PyTorch/TensorFlow experience.
• Experience publishing research and presenting at conferences.

Responsibilities

• Research and develop novel AI/ML algorithms.
• Collaborate with product and engineering teams.
• Publish research papers and present at conferences.
• Prototype and deploy AI models to production.
• Ensure ethical and responsible AI development.

Skills

Machine Learning

Deep Learning

Python

Collaborative Research

Communication

Education

PhD in Computer Science, AI, or related field

Tools

PyTorch

TensorFlow

Distributed Systems

Cloud Platforms

Job description

Build research and develop AI systems that enhance human agency. Focus on ethical AI, user privacy, and meaningful human-AI collaboration.

What You'll Do

• Research and develop novel AI/ML algorithms
• Collaborate with product and engineering teams
• Publish research papers and present at conferences
• Prototype and deploy AI models to production
• Ensure ethical and responsible AI development

Requirements

• PhD or equivalent in Computer Science, AI, or related field
• Strong background in machine learning and deep learning
• Experience with Python, PyTorch, TensorFlow
• Track record of research publications
• Experience with distributed systems and cloud platforms

Nice to Have

• Experience with reinforcement learning
• Open source contributions
• Experience with privacy-preserving ML
• Competitive salary and equity package
• 100% covered health, dental, and vision insurance
• Unlimited PTO and flexible working hours
• $3,000 annual learning and development budget
• Latest MacBook Pro and home office setup stipend
• Quarterly team gatherings and annual company retreat

Ready to Apply?

Join our team and help build the future of technology.

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