Director, Machine Learning Engineer

The Director, Machine Learning Engineer role is an onsite position in McLean, VA, focused on leading large-scale machine learning initiatives and delivering production-ready models for the financial services industry. The position blends model and software development, data pipeline optimization, and cloud-scale deployment with engineering leadership.

• Deliver machine learning models and software components to address challenging business problems in financial services, collaborating with Product, Architecture, Engineering, and Data Science teams
• Drive the creation and evolution of machine learning models and software for state-of-the-art intelligent systems
• Lead large-scale machine learning initiatives with a customer-first perspective
• Leverage cloud-based architectures and technologies to deliver optimized machine learning models at scale
• Optimize data pipelines that supply machine learning models
• Apply programming languages including Python
  , Scala
  , or Java
• Promote engineering and modeling best practices across the full engineering and modeling life cycles
• Recruit, nurture, and retain top engineering talent
• Serve as a force-multiplier by balancing hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
• Stay current with technology trends through experimentation, learning new technologies, participating in internal and external technology communities, and mentoring across the engineering organization

• Bachelor’s Degree or higher in Computer Science, Machine Learning, or a related quantitative field:
  Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• At least 3 years of people leadership experience
• At least 8 years of experience programming with Python
  , Java
  , Golang
  , or C++
• At least 6 years of machine learning experience using industry standard frameworks Py Torch or Tensorflow and libraries such as Pandas
  , Num Py
  , and Scikit-learn
• At least 6 years of experience using and operating large scale distributed systems (
  Spark
  , Ray
  ) to prepare AI or machine learning data
• At least 5 years of experience deploying and operating machine learning solutions in production, including operating production services in the cloud (
  AWS
  , GCP
  , Azure
  ) and using Kubernetes to manage large scale containerized machine learning software systems

• Python, Scala, Java, Golang, C++
• PyTorch, Tensorflow, Pandas, Num Py, Scikit-learn
• Spark, Ray
• AWS, GCP, Azure
• Kubernetes
• Open source frameworks, distributed systems, cloud-based architectures

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial, and other benefits

• Master’s or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or a related field
• 5+ years of experience managing and leading an engineering team
• 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference
• 5+ years of experience optimizing ML algorithms, configurations, and infrastructure
• 5+ years of experience working with machine learning techniques (supervised, semi-supervised, unsupervised, reinforcement learning, etc.) and model types (regression, classification, clustering, etc.), including model architectures (RNNs, CNNs, LSTMs, Transformers)
• Experience with training concepts (loss function, hyperparameters, regularization) and evaluating model accuracy and diagnosing and addressing common issues such as under fitting and overfitting
• 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
• Ability to communicate complex technical concepts clearly to a variety of audiences
• Driving impact in the ML industry through conference presentations, papers, blog posts, open source contributions, or patents
• Experience hiring and developing high-performing ML engineers with an inspiring…
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• Experience hiring and developing high-performing ML engineers with an inspiring leadership style
• Highly developed interpersonal, presentation, and communications skills

McLean, VA (onsite)

Salary: USD 269, per yearly