Introduction
Join our innovative team as a Research Scientist focusing on Model Efficiency and Robustness. In this pivotal role, you will enhance our research capabilities to ensure that our AI models deliver exceptional value in real-world applications, pushing the boundaries of what is possible.
About the Company
We are committed to fostering collaboration between humans and computers through cutting-edge AI technologies. Our small, dedicated team is focused on making significant strides in the field, backed by esteemed investors. We believe in the importance of effective design across our technology stack, from user experience to model performance.
About the Role
As a Research Scientist specializing in post-training enhancements, you will spearhead research initiatives aimed at improving the efficacy of our models. Your work will involve creating innovative fine-tuning techniques, aligning your research with product teams to meet user needs, and conducting groundbreaking experiments to unlock new capabilities.
What We Can Offer You
Competitive salary up to $225,000 based on experience.
Equity options as part of your compensation package.
Comprehensive health benefits, including 401(k) plans.
Daily onsite lunches and snacks to enhance your work experience.
Relocation assistance available for new hires moving to San Francisco.
Key Responsibilities
Lead innovative research projects aimed at enhancing post-training model performance.
Collaborate effectively with product teams to identify gaps and assess progress.
Design and implement experiments focused on model fine-tuning and adaptation.
Develop cutting-edge algorithms and methods for efficient model updates.
Create synthetic datasets tailored to specific enterprise use cases.
Analyze research findings and provide insights to inform future projects.
Stay abreast of the latest advancements in post-training techniques and incorporate relevant discoveries into our development efforts.
This role requires deep expertise in post-training methodologies, particularly with large language models. A solid grasp of machine learning fundamentals and proficiency in programming languages such as Python are essential. Successful candidates will possess strong problem-solving, analytical, and collaboration skills, thriving in a dynamic and fast-paced environment.
If you are passionate about advancing AI technology and creating innovative solutions, we encourage you to apply!

Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI! About UsOur mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. We’re creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results. The RoleAs a Research Scientist, you’ll lead initiatives to enhance our models’ performance, efficiency, and robustness after initial training. What You’ll Be Working On<ul><li>Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness.</li><li>Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact.</li><li>Design and execute experiments to enhance post-training model adaptability for enterprise applications.</li><li>Develop synthetic datasets and create evaluations for real-world enterprise use cases.</li></ul> What We Are Looking For<ul><li>Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText.</li><li>A solid grasp of machine learning fundamentals and a practical, research-driven mindset.</li><li>Proven experience in designing new ML methods or refining existing techniques.</li><li>Proficiency in programming languages commonly used in ML research, particularly Python.</li><li>Excellent analytical, problem-solving, and collaboration skills.</li><li>A passion for building impactful technology in a fast-paced, hands-on environment.</li></ul> If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!

Job Title: Member of Technical Staff: Research Scientist, Post-Training
Introduction
We are looking for a Member of Technical Staff: Research Scientist, Post-Training to enhance our team's research capabilities in model efficiency and robustness. This role is critical for advancing the real-world applications of our AI technologies, ensuring that our models deliver maximum business value.
About the Company
This organization is dedicated to deepening the collaboration between humans and computers. By fostering a small, focused team, we aim to drive significant advancements in AI. Supported by notable investors, we are assembling a multi-disciplinary team to tackle challenging AI problems. Our commitment to innovation spans from user experience to model performance, emphasizing the importance of effective design across all layers of our technology stack.
About the Role
As a Member of Technical Staff: Research Scientist, Post-Training, you will lead research initiatives to enhance model capabilities post-training. Your responsibilities will include developing novel techniques for fine-tuning and adapting models, working closely with product teams to align research with user needs, and executing experiments that push the boundaries of what our models can achieve.
What We Can Offer You
Competitive salary with a target of up to $225,000 based on experience.
Equity options as part of the compensation package.
Comprehensive health benefits, including 401(k) plans.
Daily onsite lunches and snacks to improve your work environment.
Relocation assistance for new employees moving to San Francisco.
Key Responsibilities
Lead research efforts focused on post-training model enhancements.
Collaborate with product teams to identify gaps and evaluate progress.
Design and execute experiments for model fine-tuning and adaptation.
Develop new algorithms and methods for efficient model updates.
Create synthetic datasets for enterprise-specific use cases.
Analyze research results and guide future projects based on insights.
Stay updated on advancements in post-training techniques, integrating relevant findings into development efforts.
This Member of Technical Staff: Research Scientist, Post-Training role requires strong expertise in  post-training techniques  and large language models. Candidates should have a solid foundation in  machine learning fundamentals  and be proficient in programming languages like  Python . Strong  problem-solving, analytical, and collaboration skills  are essential for success in this fast-paced environment.
If youre interested in building innovative AI solutions and pushing the boundaries of technology, we encourage you to apply.

Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI!
About Us
Our mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. Were creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results.
The Role
As a  Research Scientist , youll lead initiatives to enhance our models performance, efficiency, and robustness after initial training.
What Youll Be Working On
Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness.
Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact.
Design and execute experiments to enhance post-training model adaptability for enterprise applications.
Develop synthetic datasets and create evaluations for real-world enterprise use cases.
What We Are Looking For
Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText.
A solid grasp of machine learning fundamentals and a practical, research-driven mindset.
Proven experience in designing new ML methods or refining existing techniques.
Proficiency in programming languages commonly used in ML research, particularly Python.
Excellent analytical, problem-solving, and collaboration skills.
A passion for building impactful technology in a fast-paced, hands-on environment.
If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!

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