About the role
As a Member of Technical Staff specializing in Applied Research, you will work on state of the art research and applying that to production systems for RAG 2.0 (Contextual Language Models + Fine Tuning + Alignment).
What you'll do
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Work on and do research in state-of-the-art retrieval augmented language models as well as fine tuning and preference alignment.
- Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions.
- Integrate this research into the product through Software Development.
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Architect and build scalable and efficient backend services, APIs, and databases to support the platform's functionality and performance requirements.
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Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management.
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Collaborate with cross-functional teams to continuously improve the platform's functionality, usability, and user experience.
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Stay up-to-date with industry best practices, emerging technologies, and advancements in machine learning and software development.
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Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth.
What we're seeking
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Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred.
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Detailed knowledge of machine learning concepts and frameworks. Language Models and NLP experience is a plus.
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Strong Proficiency in programming languages such as Python, JavaScript, or Java and in backend software development.
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Experience with cloud platforms, such as AWS, Azure, or GCP, and familiarity with deploying applications on the cloud.
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Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
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Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams.
Location: Mountain View, CA
Salary Range for California Based Applicants: $150,000 - $400,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).
Equal Employment
Contextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.
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What We Do
We are building the next generation of foundation models that provide fully customizable, trustworthy, privacy-aware AI that lets you focus on the work that matters. Contextual AI works on your stack, is secure by default, and lowers the barrier to state-of-the-art generative AI.
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