Machine Learning Engineer

We are seeking an entrepreneurial and driven individual with a passion for applied data analytics and machine learning. The ideal candidate will have a deep understanding of data analytics and machine learning at scale, and will be responsible for identifying and implementing ML techniques into our products. Additionally, they will take ownership of the development lifecycle of features and modeling, design data acquisition strategies, and automate model training and inference. A strong background in machine learning, programming, and data engineering is required, along with experience in deep learning frameworks and AWS.

• Identify ML techniques into Unit 21 products
• Take Ownership of the development lifecycle of features and modeling
• Design Data acquisition strategies across customers with different schemas
• Implement Data Collection Pipelines
• Solve various ML and Programming puzzles
• Gain insights and features from manipulating large data sets
• Automate model training and inference across many models and customers
• Build out ML models from raw data to fully featured products

• BS, MS or Ph.D in Machine Learning, Computer Science, Mathematics, Statistics, Physics, or related field is required
• 3+ years of experience in developing machine learning systems/applications
• Fluency in the Python (non-Jupyter) machine learning life cycle designing, developing, deploying and maintaining models in production
• Strong SQL skills
• Strong analytical, feature engineering and data modeling skills
• Advanced understanding of data pipelines and ETL processes
• A strong grasp of traditional machine learning algorithms, both unsupervised and supervised
• Experience in deep learning frameworks like PyTorch or TensorFlow
• Ability to manage several projects simultaneously
• Advanced knowledge of software engineering principles
• Experience working with AWS
• Bonus Points: Experience working with Apache Spark and Data Bricks

• Competitive salary and pre-IPO stock options
• 100% company-paid medical, dental, and vision insurance (for employee)
• Optional HSA and FSA medical reimbursement accounts
• Unlimited paid time off
• Generous leave programs for life events
• 401(k)
• Charity matching
• Annual Learning & Development stipend
• One-time Home office set-up stipend
• Commuter benefits
• Happy hours and team-building events
• Great office space in the San Francisco Financial District
• Fully stocked kitchen
• Lunch and dinner provided in SF office at least 3x per week
• A great company culture with a strong emphasis on diversity, equity, and inclusion