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.
