Machine Learning Engineer (Remote)

About Us

vidIQ’s mission is to advance the creator's journey with actionable data-driven insights. 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.

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.

What you will be doing

• Work closely with Product Managers and Data Scientists 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.

Requirements

• 5+ years of professional software engineering experience (preferably in Python)
• 2+ years of experience developing and delivering ML models into production
• Knowledge of ML libraries like sci-kit-learn, Tensorflow/Keras and/or PyTorch
• 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 NoSQL data scores (PostgreSQL, DynamoDB and alike)