Machine Learning Engineer

Responsibilities

• Develop new features and improve pipelines for deep neural network algorithms.
• Measure the performance of existing and new machine learning solutions.
• Implement and deploy full-stack scalable data analytics and machine learning solutions to address business challenges.
• Work closely with the Tech and Ops teams to solve unique modeling challenges, such as extreme positive sample sparsity and labelling delay.
• Analyze data from various sources to provide actionable insights to business and engineering stakeholders.

Requirements

• 2+ years of relevant experience in Data Science positions.
• Very strong coding abilities in Python, Scala, and Java.
• Proficiency in building high-performance algorithms in production.
• Experience with advanced statistical techniques and concepts, including regression, properties of distributions, and statistical significance tests.
• Experience in data mining and predictive modelling, such as deep neural networks, logistic regression, clustering, and time series analysis.
• Experience with Bitbucket/Git version control tools.
• Experience working with SQL and data warehousing.
• Excellent communication skills, both verbal and written.

Qualifications

• Able to mentor other team members.
• Fluency in English.

Skills

• Machine Learning
• Data Science
• Python
• Scala
• Java
• Deep Neural Networks
• Logistic Regression
• Clustering
• Time Series Analysis
• SQL
• Data Warehousing

Pay

Compensation Range: $140,000.00 - $170,000.00 (On Target Earnings)

Schedule

This is a Full Time position. Actual schedule and hours may vary.

Benefits

• Great compensation package tailored to the U.S. market.
• Career pathing and continued education available.
• Highly engaged leadership to support you in your position and career.
• Opportunity for international travel.
• Comprehensive medical, dental & vision benefits.
• 401k matching.
• Summer Fridays & Team building events.