Machine Learning Engineer

5 days ago

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CRAFTSMAN+

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CRAFTSMAN+ is a creative technology platform and service provider that empowers marketers and creative teams to produce high-quality ads at scale. Specializing in automation and innovative solutions, CRAFTSMAN+ enables advertisers to maximize efficiency with market-leading technology, focusing on key growth drivers. Their Craftsman Studio offers code-free playable ad creation and automated cross-channel production. With experienced creative services teams, they support strategy, storytelling, and creative production for game developers, app advertisers, and agencies. CRAFTSMAN+ strives to optimize creative efforts and deliver positive results for its clients.

Video Production • Interactive Content • User Acquisition Assets • Mobile Specialized • App Store Videos

11 - 50 employees

☁️ SaaS

🎮 Gaming

📋 Description

• Craft is looking for an experienced and motivated Machine Learning Engineer to join a team responsible for a key product within the organization. • Managing and developing end-to-end data science and machine learning projects, from research and data exploration to model development, validation, deployment, and optimization. • Determining the right tool for a job - whether that’s utilizing a LLM, developing a new model, or using a simple heuristic. • Integrating ML solutions with our data pipelines. • Helping to implement and champion an MLOps solution to be used within the company. • Designing software that is easily testable and maintainable. • Working with Full-Stack, Data, and DevOps Engineers to ensure smooth delivery of new features. • Building strong partnerships with business stakeholders and product teams to understand key challenges, define objectives, and translate business needs into data science solutions that drive measurable impact and align with strategic goals. • Keeping track of emerging technologies & trends in the Machine Learning world.

🎯 Requirements

• Production experience with creating and maintaining Machine Learning models. We expect you to be familiar with the entirety of ML Lifecycle and able to implement it by yourself. • Experience in identifying anomalies across various data domains, including change point detection, time series anomaly analysis, and unsupervised outlier detection, to uncover irregular patterns, and enhance predictive monitoring. • Robust experience using NLP solutions for unstructured data processing, along with a good sense of possibilities and limitations. • 3+ years of experience in Python, including PyTorch or other major data science libraries. • Experience with data science and software engineering - familiarity with clean code, unit testing and design patterns. • Experience with cloud services - preferably AWS and Databricks. • Self-starter who likes to take initiative. • Experience with at least a part of our technology stack: Python, Polars, Pandas, Pytorch, Pandas, spaCy, transformers, AWS, Sagemaker, S3, Batch, Athena, Lambda, Kinesis, Kafka, RDS/Aurora Postgres, DynamoDB, Neptune, OpenSearch, Glue, Athena, Airflow, Terraform • Experience with MLOps tools and best practices

🏖️ Benefits

• Competitive salary starting at $160,000 USD/ year. • Equity at a well-funded, fast-growing startup • Unlimited vacation time so you can take what you need, when you need it • 99% covered Health + Dental + Vision insurance for employees and dependents • 401K through Empower with options to invest how you want it