Senior Deep Learning/Machine Learning Expert

Vacancy details
AI/ML Engineering
Machine Learning Engineer

Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future!

What project we have for you

We believe everyone is born creative. We’re a diverse tapestry of thinkers, dreamers, givers, DIYers, handi-workers, artisans, and forever and always architects of things.

Our project is to place the power of handmade into the hands of all. We give you beautiful, easy-to-master tools so you can make something unique, remarkable, perfect. We surround you with ideas, community, inspiration, and encouragement to take your creativity further than you ever imagined. And as a community, we celebrate the exhilarating act of making every single day.

So, make that handcrafted card that feels like a hug. Design a shirt for fun, for family, or for a full-blown business. Craft with a passion or for a purpose. Make something big and bold, itsy-bitsy, amazingly ambitious, or just plain silly. Whatever you make, just make your heart out. Because here’s the remarkable truth: When we all make together, we make all things possible.

We are seeking a talented and experienced Senior Machine Learning Engineer/Applied Data Scientist specializing in search relevance and ranking. As a Senior Machine Learning Engineer/Applied Data Scientist, you will play a pivotal role in developing and deploying models and algorithms for tasks such as candidate generation, ranking, and more. Your work will directly contribute to advancing our ability to deliver relevant results to our users.

What you will do

· Analyze and preprocess large-scale image datasets for training and evaluation purposes.

· Analyze user behaviors to train a personalized ranking model for search.

· Work with LLMs to refine user input

· Experiment with different architectures, loss functions, and data augmentation techniques to improve model performance.

· Collaborate with cross-functional teams to define project requirements and deliver innovative solutions.

· Stay up-to-date with the latest advancements in machine learning, computer vision and search, and apply them to solve complex problems.

· Troubleshoot and debug issues related to model training, performance, and scalability.

· Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.

· Collaborate with software engineers to integrate machine learning models into production systems.

· Document research findings, experiments, and algorithms in technical reports and presentations.

What you need for this

· Bachelor’s degree or higher in Applied Mathematics, Computer Science, Data Science, Statistics, Artificial Intelligence, or related fields.
· Proven industry experience (4+ years) in developing and deploying machine learning models for highly performant content retrieval systems, in any part of the search pipeline (i.e. pre-processing, candidate retrieval, ranking, post-processing).
· Strong programming skills in Python, including proficiency in one or more deep learning frameworks (TensorFlow, PyTorch, Keras). PyTorch preferred.
· Experience using KNN searches for candidate retrieval.
· Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.)
· Ability to preprocess and manipulate large datasets using tools such as NumPy, Pandas, and scikit-learn.
· Knowledge of software engineering principles, including version control (Git) and agile development methodologies.
· Excellent problem-solving skills, with the ability to work on complex machine learning challenges independently.
· Strong written and verbal communication skills, with the ability to effectively collaborate with team members and present findings to stakeholders.

Preferred Skills:
· Familiarity with natural language processing (NLP) and text extraction techniques.
· Familiarity with ElasticSearch/OpenSearch
· Understanding of containerization technologies (Docker) and distributed computing frameworks (Kubernetes).
· Motivated to take projects from R&D to production.

What it’s like to work at Intellias

Company Description
Our project makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.

At Intellias, we are committed to being an equal opportunity employer, fostering equity, diversity, and inclusion. We welcome and celebrate the differences of all qualified applicants. Join Intellias for a career where your unique perspectives are not only valued but crucial to our success.



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