Senior/Staff Machine Learning Engineer

This is a remote position.

About the role:

We are looking for an applied data analytics and machine learning engineer who is passionate about catching fraud. We build products that help our customers catch fraud in real time and keep their customers money safe. This requires careful thought, high creativity, and a deep understanding of data analytics and ML at scale.

What you will be doing:

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•     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
  

•     Solve various ML and Programming puzzles
  

•     Gain insights and features from manipulating large data sets
  

•     Automate model training and inference in real time across many models and customers
  

•     Build out ML models from raw data to fully featured products
  

•     Identify differences in data distribution that could potentially affect model performance in real-world applications
  

•     Run machine learning experiments, identify key features, interpret model results, and document findings
  

What we're looking for:

•     BS, MS or Ph.D in Machine Learning, Computer Science, Mathematics, Statistics, Physics, or related field is required
  

•     5+ years of experience in developing machine learning systems/applications
  

•     2+ years of experience in feature engineering on financial fraud detection
  

•     Experience working with Apache Spark and Data Bricks
  

•     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, including scoping technical tasks and effectively communicating progress toward milestones
  

•     Advanced knowledge of software engineering principles including software design, source control management, build processes, automated deployments, code reviews, testing methods
  

•     Experience working with AWS
  

Bonus Points!

    Experience working with optimization/performance enhancement in Databricks

#BI-Remote

Compensation:

The standard base pay range for this role is $160,000 - $230,000 Annually. This base pay range does not include variable compensation including potential commissions, bonuses or other financial or equity incentives.

Unit21 is an equal opportunity employer, we encourage all to apply, even if you do not meet each requirement above. We are building a diverse, inclusive workforce and hope you will join us!

What we can offer you:

• 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)