Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and enhance computer vision models and deep learning functionalities across the entire product range.

• Collaborate on projects throughout the organization with teams focused on machine learning, software, hardware, product development, and data annotation.

• Engage in the complete machine learning lifecycle, including data collection and annotation, experimentation, development, deployment, and monitoring.

• Create high-quality datasets, bolster data integrity, validate model outcomes, and ensure significant production effects.

• Construct and maintain ETL pipelines for both structured and unstructured machine learning data.

• Clean and preprocess datasets while conducting feature engineering.

• Annotate and assess image data consistently throughout the machine learning process.

• Utilize Python, SQL, and statistical analyses to scrutinize data and extract actionable insights.

• Train, fine-tune, evaluate, and conduct experiments with deep learning models tailored for computer vision applications.

• Take ownership of machine learning results, ensuring data quality and model performance from deployment through to product impact.

• Enhance data quality, labeling processes, and machine learning workflows in collaboration with the annotation team.

• Productionize, deploy, and oversee models in conjunction with machine learning and software engineering teams.

• Facilitate accessibility of machine learning processes and outcomes across the organization.

• Make independent technical choices and propel projects forward independently.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, mathematics, or a related discipline, or equivalent practical experience.

• Minimum of three years of experience in the machine learning or data science lifecycle, specifically concentrating on computer vision.

• Proven experience applying semantic segmentation in a real-world business or production scenario.

• Proficient in Python programming.

• Familiarity with PyTorch or TensorFlow, Jupyter, pandas, NumPy, and Matplotlib.

• Experience utilizing AI-assisted development tools to enhance productivity, quality, and speed.

• Demonstrated ability in performing statistical analyses and rigorously evaluating machine learning models.

• At least two years of experience with a leading cloud platform such as AWS, GCP, or Azure.

• Understanding of MLOps practices and principles for deploying, monitoring, and maintaining reliable production machine learning systems.

• Strong analytical, programming, and problem-solving capabilities.

• Capacity to thrive in a fast-paced startup environment, iterate swiftly, and balance speed with quality standards.

• Excellent communication and collaboration skills for effective cross-functional teamwork.

• Availability to work during U.S. Central working hours.

• Comfortable working in active production settings that may be greasy, loud, cold, and physically demanding.

• Willingness to travel up to 10% of the time, including domestic and occasional international trips.

• Submission of a brief 1–2 minute introductory video; applications lacking a video will not be considered.

🏝️ Benefits

• Home Office Stipend

• Medical Insurance

• Dental Insurance

• Vision Insurance

• 401(k) Plan

• Health Savings Account (HSA)

• Compensatory days off when weekend travel is necessary

• Flexible work hours

• Flexible work arrangements

• Opportunities for professional growth

• In-person collaboration opportunities