
Senior AI Researcher
2 weeks ago
We're on the hunt for a passionate and skilled Data Scientist to join a world-class team of innovators from top-tier companies.
The ideal candidate will have a strong background in web development, a passion for creating user-friendly interfaces, and a keen eye for design. You will work closely with designers, backend engineers, and product managers to build responsive and high-performance web applications. This role requires strong creativity, design skills, problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
If you are passionate about advancing AI technologies and thrive in a dynamic, collaborative environment, we would love to hear from you.
Responsibilities:
- Research
: Follow and understand recent trends in GenAI developments, and how they may apply to directions the company is pursuing. - Engineering
: Design, build, and maintain LLM applications; own the ML lifecycle, including data analysis and processing, model architecture and training, metrics/evaluation, and MLOps. - Communication
: Convey complex technical information at different levels, including to other LLM experts and non-AI practitioners. - Collaboration
: Work closely with product engineers, designers, and data scientists to define and build cutting edge AI solutions across the company.
Qualifications:
- Education
: Bachelor's or Master's degree in Computer Science, Engineering, Math, or a related field; Ph.D. or similar experience is a plus. - Experience
: 5+ years of experience in the ML space; track record of deploying AI models in real-world applications. - Skills
: Excellent coding skills; proficiency in Python and familiarity with libraries such as PyTorch, TensorFlow, NumPy, and JAX. Strong understanding of machine learning algorithms and data structures. - Communication
: Excellent communication and presentation skills, with the ability to clearly articulate design decisions and rationale. - Problem-Solving
: Strong analytical skills with the ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Publications
: Authored or co-authored research papers in reputable AI/ML venues, or impactful technical blog posts. - Open source
: Active participation in open-source relevant repos, Kaggle competitions, and similar projects. - Startup experience
: Worked at small, fast-paced environments.
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