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Description:
Vannevar Labs is seeking a Full Stack Engineer with a focus on Machine Learning to contribute to building defense software for national security.
The role involves taking ownership of projects and delivering impactful capabilities by leveraging Machine Learning and AI technologies.
Responsibilities include working on the LLM service, developing user-friendly interfaces and APIs, architecting efficient front-end systems, and integrating machine learning services into user-facing products.
The position requires collaboration with various teams, becoming an expert in prompt engineering, and creating demo products to showcase new machine learning approaches.
Requirements:
Candidates should have at least 3 years of experience in software development for user-facing products, with a strong command of JavaScript.
A minimum of 2 years of experience in building responsive and performant web UIs, including proficiency in front-end frameworks like React, is preferred.
2+ years of full stack development experience, familiarity with relational databases, caching technologies, and object stores is required.
Applicants should have 3+ years of backend engineering experience with real-time and async applications.
Prior knowledge of LLMs and prompt engineering is a bonus, but a willingness to learn and excel in this area is highly valued.
US residency or citizenship is a mandatory requirement for this role.
Benefits:
The position offers health, dental, and vision insurance coverage.
It is a 100% remote role, allowing individuals to work from anywhere in the US.
Additional benefits include 401k matching, mental health benefits, and a flexible work environment where employees can manage their workday.
The company provides pet and child care reimbursement during travel and offers unlimited paid time off.
The compensation package ranges from $130,000 to $170,000, including equity and 401k match, with individual pay determined by experience, education, and training. Vannevar Labs is an equal opportunity employer, welcoming candidates from diverse backgrounds to apply.