Lead Machine Learning Engineer
Capital One Financial
At a glance
AI generatedAs a Lead Machine Learning Engineer at Bank Tech, you will join a dynamic team focused on advancing financial technology solutions. Your primary responsibilities include designing and implementing machine learning models to enhance customer experience and operational efficiency. Day-to-day tasks involve collaborating with cross-functional teams to develop predictive analytics tools, ensuring data privacy and security compliance, and mentoring junior engineers. The role requires expertise in Python, R, or Scala, along with proficiency in TensorFlow, PyTorch, and cloud platforms like AWS or Azure. You should have a strong background in statistical modeling, machine learning algorithms, and experience working on large-scale datasets. This position offers the opportunity to tackle complex financial challenges and drive innovation within a rapidly evolving industry.
Skills
What you'll do
What we're looking for
Market check
This $197,300–$225,100 range sits above 49% of similar postings on FindRole.
Peer median band
$178,637–$255,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$180,501–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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