Senior Staff Machine Learning Engineer Job at Geico (Palo Alto)

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

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

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

Location

Canada

Salary:

206000.00 - 256000.00 CAD / 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
Proficiency in Python and ML frameworks, including PyTorch and XGBoost
Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent
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

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
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
Overlap of 6 hours with PST time zone is mandatory
Commitments Required: 8 hours per day with overlap of 6 hours with PST

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Fulltime

Senior Engineering Manager, Computer Vision

Hover helps people design, improve, and protect the properties they love. With p...

Location

United States , San Francisco/New York

Salary:

247000.00 - 305000.00 USD / Year

HOVER

Expiration Date

Until further notice

Requirements

2+ years of managing high impact CV/ML teams (or tech lead / staff+ leadership) with a track record of building high-performing teams
5+ years of hands-on experience in computer vision or ML (ideally 3D reconstruction, multi-view geometry, or ML-based reconstruction)
Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data
Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control
Ability to articulate complex trade-offs to executives, engineers, and customers alike
Bachelor’s, Master’s, or PhD in CS, ML, or related field

Job Responsibility

Leading the Team: Build and nurture a high-performing, diverse team of senior ICs and emerging leaders. From hiring and onboarding to coaching and career-pathing, you’ll make talent development your first priority
Owning a Scaling Product Line: Take end-to-end ownership of a critical computer vision product area, ensuring our research breakthroughs translate into production systems that delight customers at scale
Shaping the Roadmap: Partner with Product and Design to translate market opportunities and research advances into a sequenced plan. You’ll balance innovation with operational excellence, driving projects from data strategy and experimentation through to reliable production deployment
Driving Technical Excellence: Set engineering standards for accuracy, latency, cost control, and reliability. Model strong cross-functional collaboration and ensure your team’s work integrates smoothly into Hover’s larger platform
Communicating Impact: Clearly articulate progress, trade-offs, and technical choices to executives, stakeholders, and the broader team
earning trust at every level

What we offer

Compensation - Competitive salary and meaningful equity in a fast-growing company
Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off - Unlimited and flexible vacation policy
Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Fulltime

Staff Software Engineer

As a Staff Software Engineer, you will play a key role in designing, developing,...

Location

India , Pune

Salary:

Not provided

6sense

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
7+ years of professional experience in software engineering, with at least 2 years in a senior or staff-level role
Proficiency in Python and have good command on Django, FastApi
Expertise in designing distributed systems
Strong knowledge of databases (SQL and NoSQL) and caching systems
Exceptional problem-solving and analytical abilities
Strong communication skills with the ability to explain complex concepts to non-technical stakeholders
Leadership experience, including mentoring engineers and leading technical projects
Experience with containerization (e.g., Docker, Kubernetes)
Knowledge of CI/CD pipelines and DevOps practices

Job Responsibility

Lead the design and development of complex software systems
Drive technical innovation and best practices across teams
Ensure code quality through reviews, automation, and adherence to coding standards
Architect scalable, reliable, and secure systems for business-critical applications
Collaborate with stakeholders to understand requirements and translate them into technical solutions
Align engineering efforts with business objectives to achieve company goals
Identify, analyze, and resolve complex technical issues
Develop strategies to enhance system reliability and reduce technical debt

What we offer

health coverage
paid parental leave
generous paid time-off and holidays
quarterly self-care days off
stock options
equipment and support
wellness education sessions
wellness days
ERG-hosted events

Fulltime

New

Senior Staff Machine Learning Engineer

We are seeking an accomplished Senior Staff ML Engineer who will serve as the te...

Location

United States , Chevy Chase; Austin; San Francisco; Chicago; Seattle

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

February 23, 2026

Requirements

Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
10+ years of hands-on experience in designing, implementing, and optimizing AIML systems in production environments
Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and managing the end-to-end AIML lifecycle
Proven ability to tackle complex technical challenges, innovate through hands-on experimentation, and set technical standards across teams
Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence
Experience with backend distributed systems & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, Opensearch, Snowflake, Neo4j, Redis)
Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock)
Familiarity with frameworks for model interpretability, fairness, and regulatory compliance, ensuring ethical and transparent ML systems
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc.

Job Responsibility

Technical Architecture & System Design: Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Design end-to-end AIML pipelines - from data ingestion and feature engineering to model training, deployment, and continuous monitoring
Evaluate and integrate cutting-edge AIML frameworks and libraries to maintain a state-of-the-art technology stack
Technical Leadership & Expert Guidance: Act as the tech lead across multiple ML feature teams, setting technical direction and ensuring consistency in design principles and best practices
Provide hands-on mentorship and guidance during design reviews, code assessments, and performance tuning
Lead by example in tackling complex technical challenges and driving system-wide architectural improvements
Innovation & Research Integration: Experiment with and prototype advanced machine learning algorithms and approaches to enhance system performance, model accuracy, and interpretability
Stay abreast of the latest research and industry trends, translating these insights into actionable, production-level solutions
Contribute to internal technical documentation and share knowledge across teams
Lifecycle Management & Reliability: Oversee the end-to-end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring

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

!

Senior Staff Machine Learning Engineer

Geico

Location:
United States , Palo Alto ▼
Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

Expiration:
February 23, 2026

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