Job Description

Senior Applied AI Researcher

Job Title: Senior Applied AI Researcher

Location: On-Site

Company: Datasite
Industry: Artificial Intelligence, Research, Technology

About the Role:

Are you passionate about turning groundbreaking AI research into real-world applications? As a Senior Applied AI Researcher at [Company Name], you will have the opportunity to push the boundaries of AI technology, taking novel research ideas and applying them to solve complex challenges across industries. You’ll work in a collaborative environment with experts in the field to bridge the gap between cutting-edge research and practical AI solutions, creating tools that shape the future of AI.

This is the ideal role for someone who thrives in a fast-paced, innovative setting and is eager to lead impactful projects that make a tangible difference. If you’re driven by the power of AI and love transforming research into real-world results, we want to hear from you!

What You’ll Do:

• Lead Applied Research: Drive the application of advanced AI research, including deep learning, reinforcement learning, computer vision, or natural language processing, to solve high-impact problems.
• Develop Cutting-Edge Models: Take novel AI models from academic theory to practical application, optimizing them for real-world scalability, performance, and accuracy.
• Collaborate Across Teams: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI solutions into production systems.
• Prototype and Experiment: Design and implement prototypes and experiments to validate new approaches, applying iterative development to improve model robustness and scalability.
• Communicate Research Insights: Present your findings to technical and non-technical stakeholders, offering clear recommendations on how AI can drive business solutions and innovation.
• Mentor and Guide: Provide mentorship and support to junior researchers, fostering a collaborative and knowledge-sharing environment.
• Stay Ahead of the Curve: Keep up with the latest advancements in AI, ensuring your work remains on the cutting edge of technology.

What We’re Looking For:

• 5+ years of experience in applied AI or machine learning research, with a focus on applying advanced techniques to real-world challenges.
• Strong expertise in machine learning, deep learning, and AI methodologies, including but not limited to supervised learning, unsupervised learning, reinforcement learning, and neural networks.
• Proficiency in Python, TensorFlow, PyTorch, or other machine learning frameworks and libraries.
• Solid understanding of mathematics and statistics, including probability, optimization, linear algebra, and calculus.
• Experience in developing and deploying AI models at scale, with the ability to handle large datasets and ensure system performance and efficiency.
• Excellent problem-solving skills, with the ability to apply theoretical research to solve practical challenges in real-world applications.
• Strong communication skills, capable of conveying complex AI concepts to a diverse range of audiences, both technical and non-technical.

Bonus Points:

• Experience with cloud-based AI platforms (e.g., AWS, Google Cloud, Azure) and distributed computing systems.
• Knowledge in specialized AI domains such as computer vision, speech recognition, autonomous systems, or natural language processing (NLP).
• A PhD or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field.
• Contributions to academic publications or open-source projects in the AI space.
• Experience with big data technologies such as Spark, Hadoop, or Dask.

Why Datasite?

• Innovative Environment: Be part of a company that’s at the forefront of AI research and development, driving the next wave of innovation in technology.
• Collaborative Culture: Work with brilliant minds from diverse backgrounds, fostering creativity, teamwork, and continuous learning.
• Impactful Work: Your research will have a direct impact on products, services, and industries, transforming ideas into real-world applications that shape the future.
• Growth Opportunities: We offer continuous professional development, mentorship, and opportunities to expand your expertise in AI and machine learning.
• Work-Life Balance: With flexible work hours and remote work options, we prioritize your well-being and support a healthy work-life balance.
• Competitive Compensation: Enjoy a competitive salary, performance bonuses, stock options, and a comprehensive benefits package that prioritizes your health and career.