Job Description

Senior Machine Learning Researcher

Job Title: Senior Machine Learning Researcher

Location: On-Site

Company: Launch Potato
Industry: Machine Learning, Research, Artificial Intelligence

About the Role:

Do you thrive in a research-driven environment where innovation and deep technical expertise are valued? As a Senior Machine Learning Researcher at [Company Name], you will be a key player in pioneering new machine learning algorithms, techniques, and models that will shape the future of artificial intelligence. You will lead cutting-edge research, collaborate with multidisciplinary teams, and apply your expertise to solve some of the most complex challenges in the AI space.

This role offers the opportunity to influence industry-wide advancements and contribute to groundbreaking innovations. If you're passionate about advancing the frontiers of AI and eager to make an impact, this is the role for you!

What You’ll Do:

• Lead Advanced Research: Drive research in machine learning and AI, focusing on developing novel algorithms, techniques, and models that push the boundaries of current technologies.
• Innovate and Publish: Contribute to the scientific community by publishing your research in top-tier journals and conferences, showcasing your work to the global machine learning ecosystem.
• Collaborate Across Teams: Work closely with data scientists, engineers, and product teams to translate research findings into practical applications and real-world solutions.
• Solve Complex Problems: Tackle challenging problems in fields such as natural language processing, computer vision, reinforcement learning, or generative models, applying your expertise to solve them.
• Mentor and Guide: Provide mentorship and guidance to junior researchers, fostering a collaborative environment that encourages learning and innovation.
• Stay at the Cutting Edge: Keep up-to-date with the latest developments in machine learning and AI, and integrate new findings and approaches into your research.
• Optimize and Scale: Work on improving model efficiency, scalability, and performance, ensuring your research translates into solutions that can be deployed at scale.

What We’re Looking For:

• 5+ years of experience in machine learning research, with a deep understanding of foundational algorithms, statistical methods, and advanced machine learning techniques.
• Expertise in deep learning, reinforcement learning, natural language processing (NLP), or computer vision.
• Advanced knowledge of mathematics and statistics, including probability theory, linear algebra, optimization, and convex analysis.
• Programming expertise in languages like Python, C++, TensorFlow, PyTorch, or similar machine learning frameworks.
• A PhD or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field.
• A strong track record of publications in top conferences or journals (e.g., NeurIPS, ICML, CVPR, ACL).
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Passion for tackling big, open-ended problems and driving innovation in the AI space.

Bonus Points:

• Experience with large-scale machine learning systems and knowledge of distributed computing or cloud-based platforms (e.g., AWS, Google Cloud).
• Familiarity with unsupervised learning, generative models, or meta-learning.
• Experience working with big data frameworks like Hadoop, Spark, or Dask.
• Experience in collaborating with industry partners and applying research to solve real-world problems.

Why Launch Potato?

• Cutting-Edge Research: Work on breakthrough research that pushes the boundaries of AI and machine learning, influencing the future of technology.
• Collaborative Environment: Join a team of world-class researchers and innovators who are dedicated to solving challenging problems and advancing AI.
• Impactful Work: Your contributions will directly shape the development of AI systems that have far-reaching impact across industries such as healthcare, finance, robotics, and beyond.
• Career Growth: At [Company Name], we prioritize your growth with ample opportunities for mentorship, professional development, and career progression.
• Work-Life Balance: Enjoy a flexible work environment that emphasizes a healthy balance between work and personal life, with options for remote work and flexible hours.
• Competitive Compensation: We offer a highly competitive salary, performance bonuses, equity options, and a comprehensive benefits package to ensure your well-being.