Description

We are looking for Senior Backend Engineers to join our Machine Learning team to deliver high-quality products in the most efficient way.

We build machine learning services and data pipelines to automatically extract insights about competitors from both public and internal data sources. Every day, our services process millions of data points, including news articles, press releases, webpage changes, Slack posts, emails, reviews, CRM opportunities, and user actions. We utilize a broad array of ML techniques, including classification, clustering, recommendation, summarization, prompt engineering, vector search, and retrieval augmented generation.

Q: Klue who?

A: We’re Klue and from a technical perspective, Klue’s mission is to descale huge amounts of data to the human level, so people can process it and make use of it. Klue is that trusted intermediary, right now it’s proven for sales enablement, but tomorrow it’s all teams enablement.

Q: What level of experience are we looking for?

A: Right now we are looking for senior-level experienced Back-End Engineers with a background in GenAI, LLMs or NLP related work.

Q: What is our development team working on?

A: Services for collecting, processing and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people

As part of our backend team, we are concerned with data storage and retrieval and the infrastructure to enable that. Here’s what our development team is working on and the opportunity for motivated Software Engineers to dig into, alongside us:

- Big Data - lots of data

- Ingesting hundreds of thousands of news articles, web pages, marketing and sales data points per day. The challenge is indexing them for a long period of time and making them searchable and ready for different analysis.

- Expanding our Rails REST API and offering public APIs to enable integrations.

- Architect infrastructure for a scalable, resilient and robust service. We are migrating from a monolith architecture to K8S-hosted microservices.

- Retrieval Augmented Generation for Compete - An end-to-end system that ingests a real-time feed of compete content from various sources such as Slack, reviews, websites, news, interviews, sales calls, and documents, to generate relevant and factually accurate content

Q: What is our current tech stack?

A: Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes.

Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Temporal, JS, Github, GPT.

We believe in using whatever tools make sense to get the job done and support our game-changing innovation.

Q: Are you HYBRID FRIENDLY 🤩 ?

A: YES! Hybrid. Best of both worlds (remote & in-office)

Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.

You and your team will be in office at least 2 days per week.

Q: What skills do you bring?

Expertise in Python
You stay up to date on recent advances with LLMs and are quick to experiment with the latest approaches including RAG
You own initiatives end to end: from prototyping to production
You lead technical design discussions, write and review technical design documents, and provide technical guidance and directions to the larger engineering team
Expertise in relational databases such as PostgreSQL or MySQL
You are proficient in designing, implementing, and deploying RESTful APIs and you have experience with (non)relational and vector databases.
Experience using Docker, Kubernetes, AWS, GCP
You demonstrate good judgment when making architectural decisions and you understand how those decisions fit into the bigger picture
Experience using NoSQL databases such as Elasticsearch or MongoDB is a plus

Q: What motivates our current team right now?

The type of work. Challenging, stimulating and meaningful work. New and relevant tech stack. We know engineers/developers especially want to work on hard technical and innovative problems.
The inspiration from skilled and proven leaders.
Entrepreneurial fingerprints on what will be a future billion dollar company anchored in Canada.
Culture, team, and the work environment.
High degree of autonomy and accountability.
High degrees of transparency and high quality communication.

Q: What are the people at Klue like?

Builders
Intellectually Curious
Ambitious
Objective Oriented
Check us out!

Q: What about total compensation & benefits?

Benefits. We currently have extended health benefits starting on your 1st day.
Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year.

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Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future.

We’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful.

All interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us:

🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog

✅✅ Win-Loss Acquisition (2023)

🅰️ Series A (2020)

🐅 Series B (2021)

🏆 Culture, culture, culture!

🎧 Winning as Women & Competitive Enablement Show

🔍 Glassdoor

🐝 About Us

🐥 Twitter

📸 Instagram

☕️ LinkedIn

🦄 Wellfound (AngelList)