Machine Learning Engineer

February 15

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IDEXX

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IDEXX is a global leader in pet healthcare innovation. It provides a wide range of diagnostic and software products and services aimed at creating clarity and improving pet healthcare. IDEXX offers services such as reference laboratories, in-house analyzers, SNAP tests, and veterinary software to support veterinarians in diagnosing and treating small animals, livestock, and equines. They also specialize in water testing solutions, which help ensure the safety and quality of various water types. IDEXX is known for its contributions to the veterinary field, enabling professionals to make informed decisions through cutting-edge technology and advanced insights.

Diagnostics • Software • Veterinary

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💰 Seed Round on 1984-01

📋 Description

• Develop and deploy machine learning solutions • Optimize models for deployment on cloud infrastructure and embedded hardware • Implement scalable and efficient training procedures • Integrate models into production systems • Design and implement machine learning models and algorithms • Develop training processes that scale to large imaging and text datasets • Optimize models for performance and scalability on embedded systems • Collaborate with data scientists to identify and analyze data requirements • Develop and implement data preprocessing and feature engineering pipelines • Stay current with the latest developments in machine learning

🎯 Requirements

• 5 or more years of experience working in machine learning • 5 or more years of experience using Python, SQL, Spark, and Computer Vision exposure • Experience with machine learning frameworks such as Tensorflow and PyTorch • Experience optimizing model performance on CPUs, and GPUS • Experience with embedded hardware optimization is a plus but not required • ML tech stacks, including Databricks, MLflow, Amazon AWS (EC2, S3, SageMaker), and containerization technologies such as Docker • Excellent software engineering skills, including a test-driven mindset • Proficient in Python and Spark and familiar with other programming languages • High level of comfort with Linux • Strong skills in SQL • Strong problem-solving and analytical skills • Excellent communication and collaboration skills

🏖️ Benefits

• Competitive compensation, incentives, and benefits • Positive and respectful work culture that embraces challenges and encourages learning and discovery