Senior Staff Machine Learning Engineer Job at Affirm

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer in Relevance to define and lead the techn...

Location

United States , San Francisco; New York

Salary:

284000.00 - 426000.00 USD / Year

Patreon

Expiration Date

Until further notice

Requirements

8+ years of professional experience in applied machine learning, with a focus on search, ranking, or recommendation systems
Proven experience designing and deploying production ML systems serving millions of users
Strong programming skills in Python
Proficiency in backend development and experience integrating ML systems into production environments
Ability to prototype or visualize ML outputs in interactive UI contexts to help teams interpret model impact
Expertise in building and maintaining data pipelines, feature stores, and model observability systems
Deep understanding of embedding-based retrieval, ranking algorithms, and personalization architectures
Strong collaboration skills — able to partner effectively with engineers, designers, and PMs
Experience mentoring senior engineers and driving cross-team technical alignment
Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent experience

Job Responsibility

Design and build large-scale ranking, search, and recommendation systems that power discovery across the platform
Architect and productionize end-to-end ML pipelines (data ingestion, feature generation, model training, evaluation, deployment, and monitoring)
Prototype visualizations for the impact of new ML models to help bridge collaboration with product and design partners
Develop embedding systems and retrieval models that serve millions of users in real time
Establish and evolve ML observability and performance monitoring for relevance metrics
Partner with cross-functional leaders to align on roadmap, goals, and impact
Mentor and guide engineers, fostering a high bar for technical excellence and experimentation

What we offer

Equity
healthcare
flexible time off
company holidays and recharge days
commuter benefits
lifestyle stipends
learning and development stipends
patronage
parental leave
401k plan with matching

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficient in Python and ML frameworks, including PyTorch and XGBoost
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills that support effective collaboration across our global engineering organization
Equivalent practical experience or a Bachelor’s degree in a related field

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization, mentoring senior engineers
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Equity rewards
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Staff Machine Learning Engineer – Moonshot AI

The Moonshot AI team sits within Uber AI Solutions where we are building an ente...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience developing and shipping production machine learning models
Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
Deep expertise across multiple areas: Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
Extensive experience with distributed training infrastructure, large-scale model development, and ML platform design
Demonstrated ability to collaborate with product, engineering, and data science leadership on technical roadmaps and strategic priorities
Excellent problem-solving abilities with deep ML methodology expertise

Job Responsibility

Shape the technical vision and roadmap for Moonshot AI's ML initiatives
Architect foundational ML platforms and systems for marketplace optimization and annotation automation
Drive end-to-end ML solutions from conception through production deployment
Lead GenAI innovation: design and implement cutting-edge systems using custom SLMs, computer vision, and LLMs
Advance AI research capabilities: establish research direction, design benchmarks, contribute to research and publications
Build industry-leading evaluation frameworks: architect LLM-as-Judge systems and automated quality assessment platforms
Provide technical leadership across Uber AI Solutions
Mentor and develop engineering talent
Enable cross-functional impact

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Senior Staff Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Minimum 8 years of working experience in the ML/Robotics industry
Bachelor degree in computer science, computer engineering or related fields
Proficient in Python and Linux
Proficient in perception technologies
Familiar with OpenCV, TensorFlow/PyTorch
Experience in leading large initiatives

Job Responsibility

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
Participate in developing the vision and technology roadmap for ML and Computer Vision at Uber
Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability, while reducing operational overhead
Systems architecture design, including management of upstream and downstream dependencies
Drive datasets to accelerate ML and Computer Vision technologies, sensor data collection, processing, labeling, indexing and building comprehensive driving scenarios
Collaborate with platform, product and security engineering teams, and enable successful use of the latest ML techniques
Own the craftsmanship, reliability, and scalability of your solutions
Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Staff Machine Learning Engineer – Agent Engineering

GEICO is seeking an experienced Sr Staff Machine Learning Engineer – Agent Engin...

Location

United States , New York City; Palo Alto; Chevy Chase

Salary:

130000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, TypeScript, etc.
7+ years of experience architecting, building & deploying end-to-end AI solutions utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. Cassandra), distributed processing (e.g. Spark, Ray), workflow orchestration (e.g. Airflow, Temporal), etc.
5+ years’ experience managing end-to-end solution development life cycle, esp. Measurement and monitoring of operations metrics, analytical insights and business outcomes via dashboards and other tools
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Job Responsibility

Own design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks
Take ownership in project planning and stakeholder management
Mentor and guide junior engineers via code reviews and design sessions

What we offer

Comprehensive Total Rewards program
401K savings plan with 6% match
performance and recognition-based incentives
tuition assistance
mental healthcare
fertility and adoption assistance
workplace flexibility
GEICO Flex program (work from anywhere in the US for up to four weeks per year)

Fulltime

Senior Staff Machine Learning Engineer - Trusted Identity

We are looking for an experienced Senior Staff Machine Learning Engineer to join...

Location

United States , Sunnyvale; San Francisco; Seattle; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production
Master’s degree in Computer Science, Engineering, Mathematics or related field
Strong problem-solving skills, with expertise in ML methodologies
Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
programming languages such as Python, Spark SQL, Presto, Go, Java

Job Responsibility

Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team
Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business
Shape the MLE role and uplevel MLE talents in the org
Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

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Senior Staff Machine Learning Engineer

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Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer – Moonshot AI

Senior Staff Machine Learning Engineer – AV Labs

Senior Staff Machine Learning Engineer – Agent Engineering

Senior Staff Machine Learning Engineer - Trusted Identity

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

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