Senior Learning Engineer, Remote

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for a Senior Learning Engineer to join our global engineering team. We need a person who can work hands-on as an engineer, solving complex problems and building advanced software systems. You will report into the Staff Software Engineer We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in any given 60-day period — with consumer privacy and data security at the heart of everything we do.

What You'll Do

• Be a senior member of the team by contributing to the architecture, design, and implementation of EMS systems
• Mentor junior engineers and promote their growth
• Lead technical projects. Manage the planning, execution and success of complex technical projects
• Collaborate with other engineering, product, and data science teams to ensure we're building the best products
• Be on call if required and to accommodate east coast time zone. This role is remote and open to hiring in any state

Qualifications

• 5+ years of experience making contributions in the form of code
• Experience with algorithms and data structures and knowing when to apply them
• Experience with machine learning techniques to develop better predictive and clustering models
• Experience working with high-scale systems
• Experience creating powerful machine learning tools that facilitate experimentation and productionalization at scale
• Experience in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data to expose it in a consumable format
• #LI-Remote

Skills and Experience

• Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery
• Spark ML, TensorFlow, Kubeflow, Python, PyTorch
• Scala, sbt, cats, http4s, fs2
• Airflow, Looker, Kubernetes

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are main differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.