About SkyLink

SkyLink allows travelers to book and manage travel through chat or email as if they're talking to a corporate travel agent. Through recent breakthroughs in natural-language processing and generative language, our highly trained AI models are able to take colloquial English and handle complex travel itineraries and changes. We work with enterprises and Travel Management companies to drive productivity, increase booking throughput, and streamline operations. We are revenue generating and have customers.

We are backed by Menlo Ventures, Y Combinator, Human Capital, and Fortune 50 CEOs. Our board of advisor includes former CEOs of Global Travel companies.

About the role

We are looking for an Machine Learning Engineer who will be instrumental in architecting and engineering the SkyLink AI agent. The perfect candidate will bring 2+ years of MLE experience across chatbots and more recently, LLMs. They should have a passion for both ML architecture and applying that architecture into a software product.

A great fit:

2+ Years of MLE/Software Experience
Strong understanding of ML concepts (NLP , LLMs, model training, finetuning, GPT, embeddings, etc)
Has architected and built chatbots and AI agents
Is familiar with LLMs through APIs (OpenAI, etc) and with standing up your own models
Has strong prompting skills and is working on bettering them everyday
Ability to curate, test, and maintain datasets
Strong programming skills (Python)
Is scrappy, knows how to ship, and values progress over perfection
Wants to set, maintain, and adhere to great software engineering standards (comments, testing, documentation, high quality review)
Is just as excited to code and build as they are to architect and design software
Wants to deeply understand technical domains and work on large-scale challenges
Wants ownership and autonomy in a role that will supercharge your growth both professionally and personally

You will:

Work with transformer models to architect and design a chatbot for corporate travel
Build a hierarchical based LLM orchestration layer
Determine Intents and maintainable chat workflows from those intents
Create and maintain multiple datasets for travel chat conversations
Build and deploy both general and fine tuned models across cloud infrastructure
Build individual preferences into our system

Tech Stack:

LLMs: OpenAI and Hugging Face
Backend: Python, Django, Celery, Redis, Postgres
Frontend: React, Typescript
Infrastructure: AWS, Docker

About the interview

Introduction zoom chat with a cofounder

This is an informal call for us to meet each other and get to know one another. The conversation will cover some light technical discussion about your past projects and your ability to code and build fairly involved systems. We would like to hear details about those projects and both your product and technical decisions (good or bad) which show ownership and autonomy. We also want to understand what you are looking for in your next role and why you are interested in early-stage startups. You will get to ask us about the role and learn about what working at SkyLink will feel like.

Two technical interviews

These technical interviews will give you an ability to show off your NLP and ML skills and your ability to think about and design real world chatbots with LLMs. We will also evaluate your ability to critically think, create complex backends, and scale real world systems.

SkyLink Hybrid Work Policy

At SkyLink, we value in-person collaboration and have invested in a comfortable office space with amenities such as meal expensing to facilitate teamwork. While we recognize the benefits of working from home, we also prioritize face-to-face interactions.

Office Attendance

Employees are generally expected to be present in the office 4 days per week.
This guideline is flexible and can be adjusted based on individual circumstances.

Benefits

Healthcare
New laptop of your choice.
Paid lunch and Dinner after 7PM when at the office
401(K) Plan
Unlimited PTO
Hybrid in New York City

SkyLink provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.