Staff Machine Learning Engineer Jobs

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

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

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

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

8+ years of professional experience in machine learning engineering or data science roles
Proven track record of designing and implementing ML systems at consumer tech scale and speed
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
Understanding of ML methods at a fundamental level
Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
Technical leader who can identify both emergent technical opportunities and gaps relative to best practice

Job Responsibility

Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
Design, implement, and maintain robust evaluation frameworks
Develop novel new product experiences
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
Provide technical mentorship

What we offer

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus

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

New

Staff Machine Learning Engineer - Fraud Data

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

Location

United States , San Francisco

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 , San Francisco

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

medical
dental
vision
401(k)
equity
commission

Fulltime

Staff Machine Learning Engineer

Orbis Consultants

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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Orbis Consultants

Location:United States

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 11, 2025

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Job Posted:
December 11, 2025