JOB DUTIES & RESPONSIBILITIES
- Own the full ML lifecycle for product features—from ideation to deployment, observability, and iteration
- Use off-the-shelf models (e.g. in AWS SageMaker, Bedrock, Comprehend, HuggingFace) to solve core user and business problems
- Build and maintain robust, scalable ML pipelines and infrastructure (batch and real-time)
- Work cross-functionally with product managers, designers, and backend engineers to ship ML-powered features
- Drive productionization: model inference, latency tuning, monitoring, logging, and failure recovery
- Continuously evaluate and integrate emerging models (especially LLMs) to improve accuracy and capabilities
- Bring an engineering mindset to ML work—automate processes, reduce tech debt, and champion good software practices in the ML stack
IDEAL REQUIREMENTS & QUALIFICATIONS
- 3+ years of experience in machine learning engineering, ideally within a product-oriented tech team
- 1+ years of experience building GenAI/LLM-based features and products: chat bots, agents, features based on Gen AI
- You know the challenges of building AI features. Model choise, orchestration, hallucinations, RAG, etc. Ability to stitch together different services to make a production-ready Gen AI solution.
- Strong software engineering background with experience writing clean, scalable, and maintainable code in Python
- Hands-on experience using cloud-based ML services (especially AWS) and pre-trained models in production
- Experience with modern deployment stacks and MLOps: CI/CD, model versioning, monitoring, etc
- A pragmatic mindset—you value impact, simplicity, and reliability over academic perfection
NICE TO HAVE
- Experience integrating LLMs into products via APIs or fine-tuning
- Familiarity with React Native applications or full-stack development environments
- Prior work in consumer or SMB-facing products.
- A Gen-AI-based side project that was used by real users that you can present.
- Experience or willingness to own AI features end-to-end - from the ML/LLM part to making sure it is connected to our db and runs well on our backend.
WHY JOIN SQUIRE?
- Work on impactful, customer-facing features powered by machine learning
- Help shape our AI-first engineering culture
- Enjoy autonomy and ownership over your domain with the support of an exceptional engineering team
- Competitive salary, equity, and benefits in a high-growth, mission-driven company
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What We Do
SQUIRE is the world’s leading and fastest-growing software technology platform for barbershops, a hundred-billion-dollar global industry. We provide a one-stop solution that helps small business entrepreneurs run and grow their businesses.
SQUIRE is also the premiere booking engine that connects people with great barbers nationwide. We make it easy to discover and book the best barbers wherever you are, in just a few taps.
With headquarters in New York and a presence in major cities in the United States, U.K. and Canada, SQUIRE is the market leader in technology solutions for the barbershop industry.
SQUIRE is a Series D company and has raised over $165M to date.
For more information, please visit getSquire.com or download the SQUIRE app from the App or Play Store.
Why Work With Us
We're not just another start-up; we're a community of innovators, drivers, and achievers driven by our mission - to elevate, celebrate and empower the barbering community.
Check out our Culture Book to learn more - https://handbooks.getsquire.com/recruiting.
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