The AI Foundations team focuses on bringing the vision for AI at Capital One to life, covering the entire research life cycle from academic partnerships to building production systems.
Locations (4)
New York, New York, United States
Cambridge, Massachusetts, United States
McLean, Virginia, United States
San Jose, California, United States
Compensation
Cambridge, MA: $218,700 - $249,600; McLean, VA: $218,700 - $249,600; New York, NY: $238,700 - $272,300; San Jose, CA: $238,700 - $272,300
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
We're looking for a Senior Machine Learning Engineer to join our Engagement ML team, working as part of the cross-functional Onboarding squad in Discord's Growth organization. You'll design and build 0→1 end-to-end ML solutions that help brand-new users find their place on Discord.
Compensation
Base salary range for this full-time position is listed below... $220,000—$275,000 USD
Responsibilities
Design, build, and scale the recommendation systems that connect new users to communities and content, from candidate generation and ranking through to online serving.
Solve cold-start personalization for users with little or no history on Discord, turning the limited signals available into recommendations for servers, communities, and content.
Build and deploy ML models that lift new-user retention, combining purpose-built approaches with shared foundations such as user and server embeddings.
Collaborate cross-functionally to shape the Onboarding roadmap, balancing fast learning experiments with the long-term complexity and scalability of the systems behind them.
The AI Foundations team focuses on bringing the vision for AI to life across the entire research life cycle, from academia to building production systems.
Locations (5)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Francisco, California, United States
San Jose, California, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Cambridge, MA: $262,500 - $299,600; McLean, VA: $262,500 - $299,600; New York, NY: $286,400 - $326,800; San Francisco, CA: $286,400 - $326,800; San Jose, CA: $286,400 - $326,800
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life, partnering with cross-functional teams to deliver AI-powered products.
Locations (5)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Francisco, California, United States
San Jose, California, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Cambridge, MA: $218,700 - $249,600; McLean, VA: $218,700 - $249,600; New York, NY: $238,600 - $272,300; San Francisco, CA: $238,600 - $272,300; San Jose, CA: $238,600 - $272,300
Provide technical leadership on high-impact projects
Manage project priorities, deadlines, and deliverables
Facilitate alignment and clarity across teams on goals, outcomes, and timelines
Influence and coach a distributed team of engineers
Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of advanced recommendation systems
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or related field
Nice to have: 8 years experience with data structures and algorithms
Nice to have: 5 years experience in a technical leadership role
Nice to have: 3 years experience working in a complex, matrixed organization
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal insights within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners.
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
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