Machine Learning Engineer (LLMs)
Description For Machine Learning Engineer (LLMs)
SkyLink is revolutionizing corporate travel management with their innovative AI-powered chatbot solution. The platform enables travelers and arrangers to book and manage travel directly through enterprise chat channels like Slack & Teams, providing a natural language interface that feels like talking to a corporate travel agent.
The company is seeking a Machine Learning Engineer to play a crucial role in architecting and engineering their AI agent. The ideal candidate will bring 2+ years of MLE experience with chatbots and LLMs, combining both technical expertise and practical implementation skills.
Key responsibilities include working with transformer models, building a hierarchical LLM orchestration layer, determining intents and chat workflows, managing datasets, and deploying models across cloud infrastructure. The tech stack includes OpenAI, Hugging Face, Python, Django, React, and AWS.
Backed by prestigious investors including Y Combinator, Menlo Ventures, and Fortune 50 CEOs, SkyLink is positioned to transform the corporate travel industry. Their solution helps enterprises and Travel Management Companies save millions in costs while significantly improving the booking experience.
The role offers an opportunity to work with cutting-edge AI technology while solving real-world problems in the travel industry. The company culture values autonomy, ownership, and maintains high engineering standards while staying pragmatic about delivery. Benefits include healthcare, 401(k), unlimited PTO, and a hybrid work environment in New York City.
This is an ideal position for a talented engineer who wants to make a significant impact in an early-stage startup, working directly with founders and helping shape the future of corporate travel technology.
Responsibilities For Machine Learning Engineer (LLMs)
- 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
- 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
Requirements For Machine Learning Engineer (LLMs)
- 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
- Ability to curate, test, and maintain datasets
- Strong programming skills (Python)
- Experience with software engineering standards (comments, testing, documentation)
Benefits For Machine Learning Engineer (LLMs)
- Healthcare
- New laptop of your choice
- 401(K) Plan
- Unlimited PTO
- Hybrid in New York City
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