Senior ML Research Scientist

About the Role

As a Senior Research Scientist, you will play a crucial role in leading and conducting research activities within a specific field or domain. Your expertise and experience will be leveraged to drive innovation, contribute to scientific advancements, and provide valuable insights to solve complex problems. You will be responsible for leading research projects, managing a team of researchers, collaborating with cross-functional teams, and ensuring the successful execution of research initiatives.

You Will:

• Research Planning and Execution:

  • Define research objectives, methodologies, and timelines for research projects.
  • Design and conduct experiments, simulations, or data analyses to gather relevant data.
  • Develop and implement research protocols and methodologies to ensure accuracy and reliability of results.

• Project Leadership:

  • Collaborate with cross-functional teams to align research activities with organizational goals and objectives.
  • Drive research projects from conception to completion, ensuring deliverables are met within specified timelines.
  • Monitor progress, identify potential issues, and develop strategies to overcome challenges.

• Technical Expertise:

  • Stay up to date with the latest advancements and trends in the relevant field of research.
  • Apply advanced scientific principles, theories, and concepts to develop innovative solutions.
  • Utilize specialized research tools, equipment, and software to conduct experiments or analysis.

• Data Analysis and Reporting:

  • Analyze research data using statistical techniques, modeling, or other appropriate methods.
  • Present research findings to internal stakeholders, conferences, or scientific communities.
  • Publish research papers in reputable scientific venues and contribute to the scientific community.

You Have:

• A masters or Ph.D. in computer science or a relevant scientific discipline.
• Proven track record of conducting and leading research projects, preferably with industry experience.
• Deep knowledge and expertise in machine learning, language modeling in particular, demonstrated through publications, patents, or significant contributions to the scientific community.
• Experience in Langauge Modeling: Fine-tuning LLMs (Large language modeling).
• Experience in Training or Fine-tuning transformer-based models such as BERT and GPT.
• Strong analytical and problem-solving skills, with the ability to draw insights from complex data.
• Excellent written and verbal communication skills, including the ability to present research findings to both technical and non-technical audiences.
• Proficiency in relevant research tools, software, and techniques.
• Ability to collaborate effectively with cross-functional teams and external partners.

Compensation

$130,000 - $170,000

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.