Remote ML & Software Engineer - Build AI Tools for Creators

Machine Learning / Software Engineer (100% Remote)

vidIQ

About vidIQ
vidIQ builds software to help You Tube creators achieve their goals by growing their channels. Our mission is to advance the creator's journey with actionable data-driven insights and AI powered tools. We pursue this through our values of being creator obsessed, lean and fast, and being scientific. We have already helped millions of creators, and we are looking for stunning co-workers to join us in helping millions more.

Imagine a product that reached over a million users without a sales team. That same product is at the edge of where careers are headed, where every person becomes their own brand with limitless growth potential ahead. That's the opportunity at vidIQ - an infinite market, a large and highly engaged customer base, and the chance to help build and scale vidIQ's data engine that drives insights for millions of creators.
Why Join Us?Our work is exciting as we are transforming the creator analytics space. This has provided many of us the opportunity to work on new and exciting projects. Equally, we’ve set up our people for success by giving them professional development opportunities like courses or conferences that will help them acquire desirable skills/experience.

We are committed to diversity and inclusion. We work hard to enable creators of all kinds to succeed and, to that end, we prioritize diverse talent and an inclusive environment that encourages collaboration and creativity. We’re committed to building a company and a community where people thrive by being themselves and are inspired to do their best work every day.

Our company has met the future of work head-on, with a fully remote company, capable of giving you flexibility to balance work and life. When it’s time to go on a break, we have an unlimited vacation policy so you can recharge.
About the Team
We're a team of 100+ people and growing quickly. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of smart, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like owners.
An overview of our technology stack
- Cloud - AWS, EKS, S3, SQS
- Infrastructure - Kubernetes, Docker, Git Hub, Github Actions, ArgoCD
- Databases — DynamoDB, PosgreSQL, MongoDB
- Data processing - Python, Spark, Kafka, Airflow, Pandas, Numpy
- Testing - pytest, coverage
- Programming paradigms - asynchronous programming- ML libraries - sci-kit-learn, Tensorflow, Keras, PyTorch, Hugging Face ML Algorithms - multi-modal LLMs, Diffusion Models, Recommender Systems, ANN
- What you will be doing
- Work closely with Product Managers and Engineers to frame problems within business context and deliver the highest impact to our users.

- Help establish architecture based on technology and our needs.

- Help build, train and test Machine learning models focusing on natural language processing, recommender systems, computer vision. Design, implement and ship new features.

- Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines.

- Participate in code-reviews to ensure code quality and distribute knowledge.
You might be a fit if you have
:

- 4+ years of professional software engineering experience (preferably mostly in Python)- 2+ years of experience developing and delivering ML models into production
- Engineering background (preferably in Python) is mandatory
- Knowledge of ML libraries like sci-kit-learn, Tensorflow/Keras and/or Py Torch
- Practical knowledge of how to build efficient end-to-end Data and ML pipelines
- Engineering mindset, with a high degree of comfort in designing software and producing production-grade code
- Ability to turn ML paper into working code
Nice to have
- B.S., M.S. or PhD in Computer Science or related technical field
- Developer-level experience with Kubernetes and Docker

- Experience with data processing technologies (e.g. Spark, Kafka, Airflow)- Experience working with RDBMS and No

SQL data scores (PostgreSQL, DynamoDB and alike)
Perks and Benefits
- This is a…