Member of Technical Staff, Research Engineer / Research Scientist (Post-Training)

Side Hamburg; Palo Alto (CA); On-site; USD 175,000 - 350,000; Full time

Job summary

An innovative organization is seeking a Research Engineer to enhance AI model performance through advanced fine-tuning methodologies. This role is pivotal in optimizing AI systems for enterprise applications, ensuring they meet and exceed operational demands. You will work with cutting-edge technologies and collaborate with diverse teams to drive significant advancements in AI capabilities. If you are passionate about pushing the boundaries of AI and thrive in a collaborative environment, this opportunity is perfect for you. Join a forward-thinking team dedicated to shaping the future of enterprise AI solutions.

Benefits

Diverse medical, dental and vision options

401k matching program

Unlimited paid time off

Parental leave and flexibility

Qualifications

• Extensive experience in training large-scale language models required.
• Proficiency in modern deep learning frameworks, especially PyTorch.

Responsibilities

• Design and implement scalable post training pipelines for model optimization.
• Collaborate with cross-functional teams to translate research into production.

Skills

Training large-scale language models

Deep learning frameworks (PyTorch)

Fine-tuning strategies

Reinforcement learning techniques

Problem-solving

Job description

Member of Technical Staff, Research Engineer / Research Scientist (Post-Training)

Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise.

Who we are:

Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience.

Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach.

About the Role

As a Member of Technical Staff, Research Engineer on our Model Training team, you will be at the heart of our efforts to elevate model performance through innovative post training strategies. Your work will focus on optimizing our models after initial training by developing and implementing advanced fine-tuning methodologies. This role is critical to ensuring that our AI systems not only meet but exceed the demands of enterprise-scale applications.

This is a good role for you if you:

• Have extensive experience in training large-scale language models and designing sophisticated post training pipelines.
• Are proficient with modern deep learning frameworks—especially PyTorch—and possess a deep understanding of transformer architectures.
• Have a strong track record in fine-tuning strategies, including techniques such as RLHF, DPO, or other reinforcement learning-based methods.
• Thrive on solving high-stakes challenges by developing innovative approaches that directly impact model robustness, alignment, and operational reliability.
• Are passionate about pushing the boundaries of AI and eager to collaborate across multidisciplinary teams to drive enterprise success.

Responsibilities include:

• Designing and implementing scalable post training pipelines that integrate advanced fine-tuning techniques to optimize model performance.
• Developing and iterating on novel methodologies—including reinforcement learning approaches—to enhance model alignment, robustness, and safety.
• Collaborating with cross-functional teams to translate research breakthroughs into production-ready systems for enterprise applications.
• Continuously evaluating and refining training processes using rigorous experimentation and performance metrics to ensure our models remain at the cutting edge.
• Serving as a key technical leader, driving innovation in model training that directly shapes the future of enterprise AI.

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

Inflection AI values and supports our team’s mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:

• Diverse medical, dental and vision options
• 401k matching program
• Unlimited paid time off
• Parental leave and flexibility for all parents and caregivers
• Support of country-specific visa needs for international employees living in the Bay Area

Interview Process

Apply: Please apply on Linkedin or our website for a specific role.

After speaking with one of our recruiters, you’ll enter our structured interview process, which includes the following stages:

• Hiring Manager Conversation – An initial discussion with the hiring manager to assess fit and alignment.
• Technical Interview – A deep dive with an Inflection Engineer to evaluate your technical expertise.
• A domain-specific interview
• A final conversation with the hiring manager

Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation.

For non-technical roles, be prepared for a role-specific interview, such as a portfolio review.

Decision Timeline – We aim to provide feedback within one week of your final interview.

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