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Machine Learning Engineer (100% Remote)

EXTRA HOLIDAYS
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in machine learning frameworks, Proficient in Python and relevant libraries, Familiarity with cloud services, especially AWS, Knowledge in data processing tools like Spark, Understanding of natural language processing.

Key responsabilities:

  • Collaborate with teams to analyze problems
  • Establish technology-based architecture solutions
  • Build, train, and test ML models
  • Design and implement new system features
  • Participate in code reviews for quality assurance
vidIQ logo
vidIQ Information Technology & Services SME https://vidiq.com/
51 - 200 Employees
See more vidIQ offers

Job description

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Your missions

About vidIQ

vidIQ builds software to help YouTube 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.

The best way to understand vidIQ is to play with the product: www.vidiq.com/extension

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, GitHub, Github Actions, ArgoCD
  • Databases — DynamoDB, PosgreSQL, MongoDB
  • Data processing - Python, Spark, Kafka, Airflow, Pandas, Numpy
  • Networking - FastAPI, httpx
  • 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 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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Collaboration

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