Machine Learning Engineer (LLMs)

About SkyLink

SkyLink is building the corporate travel chatbot that allows travelers and arrangers to book and manage travel in enterprise chat channels, Slack & Teams, as if they're speaking to a corporate travel agent. Leveraging the latest in LLMs and generative AI, SkyLink’s workflows can handle simple or complex travel itineraries and changes using natural language. We serve enterprises and Travel Management Companies to save millions in excess corporate travel costs, increase online booking throughput, and delight users who have been stuck with decade old booking tools.

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

About You

You are a rockstar engineer who loves to build complex products and systems from the ground up. You are a team player who enjoys collaborative environments but is not afraid to voice their opinion. You have a strong architectural sense and have a demonstrated ability to turn architecture into code. You thrive in ambiguous settings and know how to balance tech debt and "doing things right". You want to be part of a small, fast-paced, and energetic team looking to impact global travel.

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

Benefits

• Healthcare
• New laptop of your choice.
• 401(K) Plan
• Unlimited PTO
• Hybrid in New York City

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.

Offer!