Staff Applied AI Engineer
Apply NowCompany: Boon, Inc
Location: San Francisco, CA 94112
Description:
About Boon Technologies, Inc.
Boon is an AI agent platform designed specifically for supply chain and logistics providers-the backbone of our economy. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash, Boon is backed by leading Silicon Valley venture capitalists.
At Boon, you'll play a critical role in shaping the future of AI-driven supply chain and logistics operations. Our team is dedicated to constant innovation, empowering customers to streamline crucial operational and revenue-generating workflows. We enable logistics providers to serve their customers better, delivering food, supplies, equipment, and people swiftly and efficiently. Joining us at this early stage means you'll have significant autonomy and opportunities to make an immediate and lasting impact on a vital industry.
About the Role
As a Staff level Applied AI Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Boon product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers - partnering to beta test models, experiment with new features, and develop guidance on relative model strengths
This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience working with Attention based NLP models is a plus. This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle.
In this role, you will:
Compensation
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity Employer
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Boon is an AI agent platform designed specifically for supply chain and logistics providers-the backbone of our economy. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash, Boon is backed by leading Silicon Valley venture capitalists.
At Boon, you'll play a critical role in shaping the future of AI-driven supply chain and logistics operations. Our team is dedicated to constant innovation, empowering customers to streamline crucial operational and revenue-generating workflows. We enable logistics providers to serve their customers better, delivering food, supplies, equipment, and people swiftly and efficiently. Joining us at this early stage means you'll have significant autonomy and opportunities to make an immediate and lasting impact on a vital industry.
About the Role
As a Staff level Applied AI Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Boon product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers - partnering to beta test models, experiment with new features, and develop guidance on relative model strengths
This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience working with Attention based NLP models is a plus. This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle.
In this role, you will:
- Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting edge insight generation systems.
- Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader
- You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms
- Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company
- Collaborate with cross-functional teams to improve NLP/LLM capabilities in app
- Stay up-to-date with the latest advancements and research in the space
- Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications
- Ensure that systems are efficient, maintainable and well monitored.
- Iterate on validation and testing frameworks.
- Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika or others that you can define and use.
- Experience with Search and Indexing technologies
- Proficient in machine learning techniques and algorithms
- Experience working with foundational models and corresponding APIs
- Knowledge of statistical analysis and data scraping techniques
- Prior experience in developing NLP models and systems
- Experience with prompting and building LLM applications and agents is a plus.
- Excellent problem-solving and analytical skills
- Strong communication and teamwork abilities
- Strong capability to translate research into production software systems
- Bachelor's degree in Computer Science, Engineering, or related field.
- Master's degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
- 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.
- Strong programming skills in Python.
Compensation
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity Employer
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.