Staff Machine Learning Engineer Jobs

New

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

New

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

New

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

New

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

New

Staff Machine Learning Engineer - Fraud Data

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , Washington DC

Salary:

192000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years total experience
at least 5 years building and deploying production ML systems
proven experience in machine learning infrastructure/operations
demonstrated technical leadership and architectural vision, driving systems from concept to production
proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Job Responsibility

Design and build scalable ML infrastructure for Plaid’s fraud detection product
Working at a fast-pace environment to build a rapidly growing product with a championship team
Solving complex problems at the intersection of ML systems, data, and reliability
Building the foundations for fraud detection on the largest financial dataset in the world
Collaborating with talented engineers and data scientists across Plaid

Fulltime

New

Staff Machine Learning Engineer - Fraud Data

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , Seattle

Salary:

192000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years total experience
at least 5 years building and deploying production ML systems
proven experience in machine learning infrastructure/operations
demonstrated technical leadership and architectural vision, driving systems from concept to production
proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Job Responsibility

Design and build scalable ML infrastructure for Plaid’s fraud detection product
Working at a fast-pace environment to build a rapidly growing product with a championship team
Solving complex problems at the intersection of ML systems, data, and reliability
Building the foundations for fraud detection on the largest financial dataset in the world
Collaborating with talented engineers and data scientists across Plaid

Fulltime

New

Staff Machine Learning Engineer - Fraud Data

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , New York

Salary:

192000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years total experience
at least 5 years building and deploying production ML systems
proven experience in machine learning infrastructure/operations
demonstrated technical leadership and architectural vision, driving systems from concept to production
proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Job Responsibility

Design and build scalable ML infrastructure for Plaid’s fraud detection product
Working at a fast-pace environment to build a rapidly growing product with a championship team
Solving complex problems at the intersection of ML systems, data, and reliability
Building the foundations for fraud detection on the largest financial dataset in the world
Collaborating with talented engineers and data scientists across Plaid

Fulltime

New

Staff Machine Learning Engineer - Credit

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

252000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years of experience developing, training, and deploying ML models in production environments
Proven experience building and maintaining data-intensive backend applications within large, distributed systems
Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries
Background in fintech or other data-rich, regulated domains
Demonstrated ability to take ownership and drive projects from concept to measurable business impact
Solid understanding of data engineering and analytics concepts
Skilled at collaborating across technical and non-technical teams
Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field

Job Responsibility

Hands-on develop, productionize, and operate machine learning models and pipelines to improve a diverse range of Plaid products
Continuously proposing and developing new features to improve the AI/ML model performance
Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle
Debugging ML production issues and ensuring stable model serving
Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact

What we offer

equity
commission
medical
dental
vision
401(k)

Fulltime

Staff Machine Learning Engineer

Truebill

Location:
United States, San Francisco ▼
Washington, D.C.
New York City
Silver Spring
Miami
Denver

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 13, 2025

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Staff Machine Learning Engineer

Truebill

Location:United States, San Francisco ▼Washington, D.C.New York CitySilver SpringMiamiDenver

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 13, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Staff Machine Learning Engineer - Credit

Location:
United States, San Francisco ▼
Washington, D.C.
New York City
Silver Spring
Miami
Denver

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 13, 2025