AI Research Scientist (The Innovation Alchemist)
Company: Unreal Gigs
Location: San Francisco
Posted on: November 6, 2024
Job Description:
Are you passionate about advancing the field of artificial
intelligence and working on groundbreaking research that pushes the
boundaries of what's possible? Do you thrive on solving complex
challenges and developing new AI techniques that can revolutionize
industries? If you're excited about the opportunity to explore
uncharted territories in AI and contribute to cutting-edge
innovations, then our client has the perfect role for you. We're
looking for an AI Research Scientist (aka The Innovation Alchemist)
to conduct research, design algorithms, and develop AI systems that
drive the future of intelligent technology.As an AI Research
Scientist at our client, you'll collaborate with a team of
brilliant engineers and data scientists to design and develop new
AI models, conduct experiments, and contribute to publications that
shape the future of AI. Your work will focus on researching novel
algorithms, improving the accuracy of existing models, and solving
real-world problems through AI advancements.Key
Responsibilities:
- Research and Development: Conduct cutting-edge research in AI,
machine learning, and deep learning to develop novel algorithms and
methodologies. You'll explore areas like natural language
processing (NLP), computer vision, reinforcement learning, and
more, contributing to both theoretical and practical
advancements.
- Model Design and Prototyping: Design, prototype, and implement
AI models and algorithms based on your research findings. You'll
experiment with state-of-the-art techniques in AI and develop
proof-of-concept systems that demonstrate the feasibility and
impact of your innovations.
- Collaboration with Engineering Teams: Work closely with
engineers, data scientists, and product teams to integrate your
research into real-world applications. You'll ensure that research
findings can be applied to solve practical challenges and drive
business innovation.
- Publications and Thought Leadership: Publish your research
findings in top-tier AI and machine learning journals or present at
major conferences (e.g., NeurIPS, ICML, CVPR). You'll contribute to
the academic and research communities by sharing insights and
advancing the state of AI knowledge.
- Experimentation and Evaluation: Conduct experiments to evaluate
the performance of AI models, comparing different approaches,
optimizing hyperparameters, and improving model efficiency. You'll
validate results using rigorous scientific methodologies and ensure
reproducibility of experiments.
- Innovation and Intellectual Property: Develop new intellectual
property based on your research, including patents and proprietary
technologies. You'll be at the forefront of innovation,
contributing to our client's competitive advantage in the AI
landscape.
- Mentorship and Collaboration: Mentor junior researchers and
collaborate with cross-functional teams to explore new AI-driven
opportunities. You'll play a key role in fostering a culture of
innovation and knowledge sharing across the organization.Required
Skills:
- AI and Machine Learning Expertise: Strong knowledge of AI,
machine learning, and deep learning techniques. You're experienced
with algorithms such as supervised/unsupervised learning,
reinforcement learning, neural networks, and generative
models.
- Programming and Research Tools: Proficiency in programming
languages like Python, R, or C++, and experience with AI research
libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
You're skilled at designing experiments and implementing research
prototypes.
- Mathematical and Statistical Foundations: Strong background in
mathematics, statistics, probability, and optimization techniques.
You're comfortable with topics such as linear algebra, calculus,
and statistical inference, which underpin AI algorithms.
- Scientific Rigor: Expertise in conducting rigorous experiments,
including hypothesis testing, data analysis, and interpretation of
results. You have a solid understanding of research methodologies
and can clearly articulate your findings.
- Collaboration and Communication: Excellent communication
skills, with the ability to present research findings to both
technical and non-technical audiences. You're skilled at writing
academic papers and collaborating across departments to translate
research into practice.Educational Requirements:
- PhD in Computer Science, AI, Machine Learning, or a related
field. Candidates with a Master's degree and substantial research
experience may also be considered.
- A strong publication record in top-tier AI, machine learning,
or computer science journals and conferences is highly
desirable.Experience Requirements:
- 3+ years of experience in AI research or applied machine
learning, with a proven track record of developing innovative AI
solutions.
- Experience working in research labs, universities, or industry
R&D departments where you've contributed to AI advancements
through research and experimentation.
- Hands-on experience developing AI models and implementing
research findings in real-world applications.
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Keywords: Unreal Gigs, San Francisco , AI Research Scientist (The Innovation Alchemist), Other , San Francisco, California
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