Senior Staff Machine Learning Engineer Job at GoFundMe (San Francisco)

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 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

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 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

Senior Staff Product Manager, Drone Hardware Platforms & Sensors

As a Senior Staff Product Manager for Drone Hardware Platforms & Sensors, you wi...

Location

United States , San Mateo

Salary:

196000.00 - 260000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

7+ years of proven success in defining and delivering complex hardware products with integrated software
Deep technical understanding of IoT or camera/sensors product technologies
Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers
Detail-oriented with exceptional written and oral communication skills
Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs
Highly facilitative team player who strives to enable others to do their best work
A passion for speaking with -- and learning from -- customers
A background in electrical engineering, mechanical engineering, or computer science

Job Responsibility

Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors
Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them
Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers
Continually develop, own, and publish product requirement documents and roadmaps for Skydio’s vehicle hardware, controllers, cameras/sensors and embedded software
Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements
Capture, document, and distill feedback from customers and prospects to steer product development
Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success
Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance
Paid vacation time
Sick leave
Holiday pay
401K savings plan

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

Senior Staff Machine Learning Engineer

The Home team sits at the heart of the Spotify experience. Home is where hundred...

Location

United States , New York

Salary:

264641.00 - 378058.00 USD / Year

Spotify

Expiration Date

Until further notice

Requirements

Deep background in machine learning and recommender systems
Extensive experience building and operating large-scale, user-facing ML systems in production
Comfortable working across the full ML stack: data, modeling, evaluation, serving, experimentation, and iteration
Hands-on experience with or strong interest in transformer-based models, sequence modeling, and/or generative approaches in recommender systems
Production experience with languages such as Python, Java, or Scala
Experience with PyTorch, TensorFlow, or JAX is a strong plus
Strong systems thinker who can reason about latency, scalability, trade-offs, and end-to-end architecture
Thrive in ambiguity and can lead high-impact initiatives
Communicate clearly and effectively, influencing across engineering, product, design, and leadership
Care deeply about experimentation, data-driven decision making, and user experience quality

Job Responsibility

Define and drive the machine learning technical strategy for Spotify Home
Work at the intersection of recommender systems, generative models, and user intent understanding
Lead hands-on development of ML models and systems, from prototyping to productionizing
Provide senior-level technical leadership across multiple teams
Design, build, evaluate, ship, and iterate on large-scale ML systems
Partner closely with product, design, and user research
Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability
Help evolve Home toward more contextual, generative, and intent-aware experiences
Collaborate with platform and foundation teams
Mentor senior engineers and influence technical standards

What we offer

Equity
Health insurance
Six month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
13 paid flexible holidays
Paid sick leave
Extensive learning opportunities
Flexible share incentives

Fulltime

Senior Staff Machine Learning Engineer

GoFundMe

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 08, 2025

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Location:United States , San Francisco

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Job Posted:December 08, 2025

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Job Posted:
December 08, 2025