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 youll do
Work on and do research in stateoftheart 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.
Architect and build scalable and efficient backend services APIs and databases to support the platforms functionality and performance requirements.
Ensure seamless integration with machine learning models and pipelines enabling efficient model deployment and management.
Collaborate with crossfunctional teams to continuously improve the platforms functionality usability and user experience.
Stay uptodate with industry best practices emerging technologies and advancements in machine learning and software development.
Mentor and provide technical guidance to junior team members promoting knowledge sharing and professional growth.
What were seeking
Bachelors degree in Computer Science Software Engineering or a related field. Masters or PhD preferred.
Detailed knowledge of machine learning concepts and frameworks. Language Models and NLP experience is a plus.
Strong Proficiency in programming languages such as Python JavaScript or Java and in backend software development.
Experience with cloud platforms such as AWS Azure or GCP and familiarity with deploying applications on the cloud.
Strong problemsolving skills and the ability to work effectively in a fastpaced collaborative environment.
Excellent communication and interpersonal skills with the ability to work closely with crossfunctional teams.
Location: Mountain View CA
Salary Range for California Based Applicants: $150000 $400000 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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