Sr Software Engineer - Machine Learning Job at Uber (New York)

Sr. Machine Learning Engineer

We are dedicated to enhancing the rider experience through cutting-edge machine ...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field
7+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Strong problem-solving skills, with expertise in ML methodologies
Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
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

Developing advanced intent modeling and ranking solutions to optimize personalized recommendations
Striking the right balance between ranking relevance and discovery (exploration vs. exploitation)
Researching and integrating new signals to improve key ranking metrics and user engagement
Building and deploying ML models at scale, ensuring high reliability and quality in online serving

Sr. Machine Learning Engineer – Context Engineering

GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join our ...

Location

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

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of experience designing and building AIML platform and systems utilizing components such as vectordb (e.g. Qdrant, Milvus, etc.), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgres sql), knowledge graph (e.g. neo4j), workflow orchestration (e.g. Airflow, Temporal)
Proficient in Python, Java and similar general-purpose programming languages
3+ years’ experience managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs
2+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Job Responsibility

Own development of key platform components that power end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, context management, workflow orchestration, etc.
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 for high impact business use cases. Establish pragmatic visions & roadmaps that balance business outcome, product release timelines and engineering excellence
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Lead a small team of engineers for feature & system implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Sr. Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our StudioLAB team – an innov...

Location

United States , Burbank

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Machine Learning, or related technical field with 5+ years of professional experience
Strong track record of developing and deploying machine learning models in production environments
7+ years of Python software engineering experience with a focus on building scalable applications
Proficient in modern ML frameworks and libraries (PyTorch, TensorFlow, Scikit-learn)
Experience with software development best practices (Git, testing, code reviews)
Strong understanding of ML fundamentals including model training, validation and evaluation methods
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
Knowledge of data structures, algorithms, and system design principles
Excellent problem-solving skills and ability to work independently and as part of a team
Strong communication skills with the ability to explain completed technical concepts clearly

Job Responsibility

Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow
Implement ML models for diverse use cases including computer vision, generative AI, and optimization problems
Participate in the full ML lifecycle from data preparation to model deployment and monitoring
Test and benchmark academic papers, ML applications and tools to identify cutting-edge approaches
Stay current with ML research trends and evaluate their potential application to studio needs
Contribute to internal knowledge sharing and potentially external publications
Guide technology transfer both to and from external teams and research partners
Work closely with our partners across the Studios to understand and address their technical needs
Communicate complex ML concepts to both technical and non-technical stakeholders
Maintain high code quality standards with proper testing, documentation and version control

What we offer

medical, dental, and vision coverage
a 401(k) with company match
short-term disability
life insurance with AD&D

Fulltime

Sr Machine Learning Engineer -AI/ML- US Remote

We are seeking a Sr Machine Learning Engineer—Amgen’s senior individual-contribu...

Location

United States , Jacksonville

Salary:

164029.00 - 209103.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerization (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Fulltime

New

Sr. Sw Engineer, Machine Learning

We are hiring a Senior Engineer to lead the architecture and implementation of a...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field
Experience building recommendation or decisioning systems, ideally in advertising, media, or revenue-platform environments
Strong understanding of modern LLMs and agentic systems, and the ability to evaluate latency, cost, and quality tradeoffs
Solid experience with LLM and multi-agent pipelines, including prompting, tool use, orchestration, tradeoff analysis, and error handling
Experience deploying ML systems in production, including model serving, containerization, CI/CD, and monitoring
Hands-on experience with modern ML frameworks and tooling such as PyTorch, Hugging Face Transformers, agent orchestration frameworks (e.g., LangGraph or similar), feature stores, and vector databases for RAG workflows
Experience designing evaluation approaches for recommendation and generative systems using human review, automated and offline metrics, and online A/B testing
Strong software engineering fundamentals and solid production experience in Java or Python
Ability to translate ambiguous business requirements into practical technical solutions and communicate tradeoffs clearly to cross-functional partners

Job Responsibility

Define the technical architecture and overall stack for an agent-native business applications platform spanning pricing guidance, booking and order intelligence, upsell recommendations, churn and retention prediction, media planning, deal scoring, revenue forecasting, and more
Evaluate LLMs, multimodal systems, multi-agent orchestration frameworks, and recommendation, ranking, and forecasting models for product use
Design and build the pipeline from business and customer signals to model inference, recommendation generation, output validation, and integration with internal revenue systems and APIs
Build production-grade systems with strong error handling, output validation, explainability, auditability, and human-in-the-loop guardrails for high-stakes pricing and financial decisions
Partner cross-functionally with ML, backend, frontend, data, and business teams to iterate quickly based on feedback and business needs
Drive technical decisions that directly influence revenue impact, product quality, scalability, and time-to-market

What we offer

Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Time off in accordance with local leave policies

Fulltime

New

Sr. Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

performance based incentive compensation
cash bonus(es)
long term incentives (LTI)
health, financial and other benefits

Fulltime

Sr. Fellow Machine Learning Engineer

We are looking for a Fellow/Sr. Fellow Machine Learning Engineer to join our Tra...

Location

United States , San Jose

Salary:

292000.00 - 438000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Strong background in machine learning, distributed systems, or AI infrastructure
Proven experience building and optimizing distributed training systems for large models
Strong familiarity with ML frameworks (PyTorch, JAX, TensorFlow) and distributed frameworks (TorchTitan, Megatron-LM)
Hands-on expertise with LLMs, recommendation systems, or ranking models
Proficiency in Python and C++, including performance profiling, debugging, and large-scale optimization
Experience collaborating across hardware, compiler, and system software layers
Excellent communication, and problem-solving skills
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Job Responsibility

Train large models to convergence on AMD GPUs at scale
Improve the end-to-end training pipeline performance on large scale GPU cluster
Improve the end-to-end debuggability on large scale GPU cluster
Design and optimize the distributed training pipeline and software stack to scale out
Contribute your changes to open source
Stay up-to-date with the latest training algorithms/frameworks
Influence the direction of AMD AI platform
Collaborate across teams with various groups and stakeholders

Fulltime

Sr Staff Machine Learning Engineer (ADEM)

The ADEM engineering team is the engine of innovation at Palo Alto Networks. We ...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience, with a significant portion dedicated to designing and operating complex, resource-constrained client-side or endpoint software in a large-scale deployment
As a leader in engineering efficiency, you must be an expert in leveraging AI-powered development tools—including Claude Code, Cursor, Windsurf, and GitHub Copilot—to radically accelerate the SDLC and automate complex refactoring and testing workflows
Proven track record of architecting and shipping production-quality software for multiple operating systems (Windows, macOS, Linux) with a deep understanding of OS internals, networking stacks (L3-L7), and system performance tuning
Coding Rust, or Go (Golang) for high-performance client development is required
BS/MS/PhD in Computer Science or a related technical field, or equivalent high-level professional experience.

Job Responsibility

Define the long-term architectural vision for the ADEM Agent across Linux, Windows, macOS, and mobile platforms, ensuring robust performance, minimal resource consumption
Lead the 'Design Review Board' for all Agent-side features, ensuring all components adhere to Secure AI by Design, operate with high-availability patterns in diverse OS environments, and maintain a low CPU/memory footprint
Drive the evolution of the Agent's telemetry collection and processing pipeline, optimizing for low-latency, encrypted data transfer and ensuring resilience in low-bandwidth or disconnected environments
Partner with Product Management, Core Infrastructure, and Security teams to translate ambiguous business requirements into robust, high-performance technical specifications for the client software
Act as a force multiplier by mentoring Staff and Senior engineers, fostering a culture of rigorous platform-specific testing, high code quality, and proactive technical debt management within the Agent codebase
Serve as the ultimate technical escalation point for complex, systemic production issues related to endpoint stability or performance, leading post-mortems that drive permanent architectural improvements in the Agent

What we offer

restricted stock units
bonus

Fulltime

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Sr Software Engineer - Machine Learning

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