Senior Machine Learning Engineering Manager Jobs

New

Director of Machine Learning, ML Datasets Engineering

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

400000.00 - 490000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
Experience leading data strategies and partnerships at a senior level
Expertise in data analysis, with practical experience in examining complex datasets
Knowledge of data cost management and optimization techniques
Understanding of current developments in dataset engineering and machine learning
Experience working with external data providers and managing large data projects
Ability to connect technical concepts with business strategies
Leadership skills to guide a team of data engineers and analysts
Communication skills to explain complex data concepts to various audiences

Job Responsibility

Establish and oversee data partnerships to obtain high-quality datasets for our AI models
Develop data strategies that support Runway's product and research objectives
Analyze our data ecosystem to find gaps and areas for improvement
Work with external partners on new data projects
Keep up with advances in dataset engineering and machine learning, applying new methods to our work
Participate in hands-on data analysis, guiding the team in data exploration and interpretation
Manage data costs and implement ways to optimize data usage and storage

Fulltime

Senior Machine Learning Engineer, Perception

We are seeking a highly skilled Machine Learning Engineer with deep expertise in...

Location

United States , Santa Clara

Salary:

145000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines
Strong expertise in PyTorch, TensorFlow, or JAX
Proven experience with LiDAR-based 3D perception and BEV representation models
Deep understanding of multimodal sensor fusion architectures and techniques
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines
Solid foundation in computer vision, deep learning, and 3D geometry

Job Responsibility

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs
Benchmark perception models using large-scale datasets and well-defined quantitative metrics
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

Senior Machine Learning Engineer, Simulation

We are seeking a Senior Machine Learning Engineer with expertise in deep learnin...

Location

United States , Santa Clara

Salary:

130000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field
Extensive experience applying deep learning techniques to time series forecasting and data analysis
Proficient in Python with experience working in large codebases
Excellent communication skills and the ability to collaborate effectively in a team setting
Familiarity with state-of-the-art deep learning models and their applications
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

Job Responsibility

Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques
Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy
Integrate the data-driven models into simulation pipelines with seamless compatibility
Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates
Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime

Senior Machine Learning Infrastructure Engineer

As a Senior ML Infrastructure Engineer at Plus, you will design scalable archite...

Location

United States , Santa Clara

Salary:

160000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Phd or MS in Computer Science, Electrical Engineering, or related field
Good oral and written communication skills
Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems
Proficiency in in Python, C++, SQL
Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow)
Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments)
Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)
Strong knowledge of distributed systems, databases, and storage solutions
Extensive software design and development skills
Ability to learn and adapt to new technologies and contribute in a productive environment

Job Responsibility

Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale
Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks
Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability
Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure
Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems
Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform
Mentor junior engineers and contribute to a culture of technical excellence
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime

Senior Machine Learning Engineer - Finance Management

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

Location

United States , New York

Salary:

174000.00 - 260400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of experience in applied analytics, decision science, or risk modeling, ideally within credit, lending, or payments
Strong ability to analyze and interpret large-scale financial datasets (transactions, balances, repayment behaviors) to generate insights
Proficiency in SQL, Python, and data visualization/analysis tool
Experience in model performance evaluation, monitoring, and feature development for credit or risk models
Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements
A track record of owning projects end-to-end and driving measurable business or customer impact
Familiarity with financial services, fintech, or EWA/payroll products is a strong plus
Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field

Job Responsibility

Shape Plaid’s first zero-to-one repayment risk framework for earned wage access, setting a new industry standard
Empower millions of workers with safer, more accessible EWA products by helping partners manage repayment risk responsibly
Dive deep into Plaid’s unique transaction and balance data to uncover new repayment risk signals
Partner closely with customers to conduct retros and design repayment strategies, demonstrating real-world impact
Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior
Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance
Collaborate across product, engineering, and data teams to scale Plaid’s EWA risk solutions and improve product-market fit
Join a high-ownership, bottom-up driven team building the leading EWA score to surpass competitors in the space

Fulltime

Senior Machine Learning Engineer - Finance Management

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

Location

United States , San Francisco

Salary:

174000.00 - 260400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of experience in applied analytics, decision science, or risk modeling, ideally within credit, lending, or payments
Strong ability to analyze and interpret large-scale financial datasets (transactions, balances, repayment behaviors) to generate insights
Proficiency in SQL, Python, and data visualization/analysis tool
Experience in model performance evaluation, monitoring, and feature development for credit or risk models
Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements
A track record of owning projects end-to-end and driving measurable business or customer impact
Familiarity with financial services, fintech, or EWA/payroll products is a strong plus
Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field

Job Responsibility

Shape Plaid’s first zero-to-one repayment risk framework for earned wage access, setting a new industry standard
Empower millions of workers with safer, more accessible EWA products by helping partners manage repayment risk responsibly
Dive deep into Plaid’s unique transaction and balance data to uncover new repayment risk signals
Partner closely with customers to conduct retros and design repayment strategies, demonstrating real-world impact
Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior
Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance
Collaborate across product, engineering, and data teams to scale Plaid’s EWA risk solutions and improve product-market fit
Join a high-ownership, bottom-up driven team building the leading EWA score to surpass competitors in the space

Fulltime