The posting
Applied Scientist - Machine Learning
## Company Overview We are a forward-thinking company focused on innovation in Artificial Intelligence and Machine Learning. Our culture promotes collaboration and emphasizes the importance of advanced research and development to deliver cutting-edge solutions.
## Job Summary We are seeking experienced and accomplished Applied Scientists for Machine Learning (ML) to join our team. In this role, you will be responsible for developing cutting-edge ML algorithms, collaborating with cross-functional teams, and driving the scaling and productization of ML solutions to enhance our product offerings and achieve organizational goals.
## Responsibilities - Develop advanced Machine Learning algorithms specifically in time-series domains. - Collaborate with other applied scientists on algorithm development and refinement. - Work closely with engineering teams for the productization of ML solutions. - Partner with Product Managers to explore use cases and conduct benchmarking exercises. - Lead projects independently in dynamic and fast-paced environments. - Contribute to the development of patents and technical publications. - Develop pipelines based on Large Language Models (LLMs).
## Qualifications - Educational Requirements: BS, MS, or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, or a related field. - Experience: 1-3 years of ML research experience (varies by degree). - Technical Skills: - Proficiency in programming languages such as Python, R, C++, or Java. - Expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture. - Experience with large-scale ML systems. - Soft Skills: - Strong collaboration and communication skills. - Passion for industrial AI innovation.
## Preferred Skills - Experience contributing to patents and technical publications would be advantageous.
## Experience 1-3 years of relevant experience in Machine Learning research, depending on educational qualifications.
## Environment This position is fully remote, allowing for a flexible work setting. Candidates will collaborate across various teams and disciplines in a virtual environment.
## Salary Salary details are not specified.
## Growth Opportunities We offer potential career advancement opportunities within the organization as you contribute to innovative projects and develop your skill set.
## Benefits While specific benefits are not outlined, we typically provide a comprehensive benefits package that may include healthcare, paid leave, and professional development opportunities.



