About the role
As a Member of Technical Staff specializing in Full Stack Development, you will be responsible for designing, developing, and maintaining the application layer of our machine learning model provider platform. You will work closely with ML researchers, product managers, and designers to understand their requirements and translate them into scalable and efficient backend infrastructure and an intuitive frontend. Your expertise will be crucial in building a robust and user-friendly platform that enables our clients to leverage machine learning models effectively.
What you'll do
- Design and develop a scalable application layer, including both backend infrastructure and frontend components, from scratch.
- Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions.
- Implement secure authentication, authorization, and data protection mechanisms.
- Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management.
- Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth.
What we're seeking
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- Extensive experience in full stack development, including backend and frontend technologies.
- Proficiency in programming languages such as Python, JavaScript, or Java.
- Experience with cloud platforms, such as AWS, Azure, or GCP, and familiarity with deploying applications on the cloud.
- Knowledge of machine learning concepts and frameworks is preferred but not a requirement.
- Excellent communication and interpersonal skills.
Location: Mountain View, CASalary 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 EmploymentContextual 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.
