Senior Machine Learning Engineer, Simulation Job at PlusAI (Santa Clara)

Senior Software Engineer, Controls

As a Senior Software Engineer on our controls team, you will deliver mission-cri...

Location

United States , Santa Clara

Salary:

150000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Master's or PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, or related field
2+ years of MLE experience or industry experience designing and developing for robotics applications
Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling
Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
Experience in model development & training with modern frameworks (e.g. PyTorch)
Hands-on familiarity with data ingestion and processing pipelines

Job Responsibility

Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL)
Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems
Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization
Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues
Track and incorporate the latest multidisciplinary research advancements in a fast-moving field
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 Software Engineer, Computational Geometry

We are seeking a Senior Software Engineer, Computational Geometry who will be a ...

Location

United States , Chatsworth

Salary:

140000.00 - 200000.00 USD / Year

Machina Labs

Expiration Date

Until further notice

Requirements

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field
5+ years of experience in computational geometry, path planning, or related fields
Strong background in linear algebra, trigonometry, differential equations, and algorithm design
Proficiency in both Python and C++, with hands-on use of libraries such as Numpy (Python) or Eigen (C++)
Proven ability to manipulate meshes, vectors, and transforms in 2D and 3D
Experience with CAD file formats (STEP, IGES) and graphics-adjacent work (GPU acceleration, ray tracing, geometry kernels)
A track record of solving complex problems in fast-paced, iterative environments—independently and within teams
Excellent communication skills
able to explain technical concepts clearly to both engineers and non-engineers

Job Responsibility

Shape our geometry pipeline by leading the development of robust geometry ingestion and processing systems to transform complex CAD files into robot-ready parts
Innovate our path planning through the design and implementation of algorithms that expand the operational envelope of our robotic forming cells
Prototype and validate by rapidly testing new approaches while building high-quality, production-ready code for proven solutions
Bridge disciplines partnering with robotics and manufacturing engineers to troubleshoot, optimize, and validate geometry and path strategies on physical hardware
Model and simulate by building kinematic models, optimizers, and analysis tools to validate paths before they hit the robot floor
Uphold excellence through ensuring code quality with testing, documentation, and reviews aligned to Machina’s engineering standards

What we offer

Medical, Dental, Vision
PTO
Stock Options

Fulltime

Senior Robotics Software Engineer, Test

As a Senior Robotics Software Engineer, Test at Chef Robotics, you'll develop co...

Location

United States , San Francisco

Salary:

150000.00 - 240000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Robotics, Computer Science, Computer Vision, Mechanical Engineering, or related technical field
7+ years of professional experience in robotics software development, perception systems, or testing
Expert-level programming skills in Python with advanced software engineering capabilities
Extensive experience with robotics simulation environments (Gazebo, PyBullet, MuJoCo, or similar)
Strong background in computer vision and perception system development and testing
Deep familiarity with robot control systems, motion planning, and real-time robotics software
Proven experience with CI/CD pipeline development and test automation frameworks
Advanced understanding of test automation principles, methodologies, and best practices
Deep understanding of robotics kinematics, dynamics, and control systems with practical testing experience
Extensive experience with computer vision algorithms, image processing, and perception pipeline testing

Job Responsibility

Robotics Test Framework Development
Design and implement automated testing frameworks for robot motion planning and control systems
Develop advanced evaluation frameworks for core robot behaviors over hundreds of scenarios
Develop advanced validation frameworks for real-time control loop performance and stability across diverse operational conditions
Build sophisticated test harnesses for hardware-software integration validation
Architect simulation environments for testing robotic behavior without physical hardware dependencies
Perception System Testing & Validation
Design and implement comprehensive testing frameworks for computer vision algorithms and perception pipelines
Create automated test suites for object detection, segmentation, and classification in food production environments
Develop validation systems for camera calibration and depth estimation accuracy

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

Lead Scientist, Pricing

We are seeking a Lead Data Scientist with deep expertise in pricing science, inc...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems
Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches
Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale
Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework
Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment
Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker
Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker)
Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes
Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Present findings, experimental results, and strategic recommendations to senior leadership

New

Experienced Data Scientist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Hialeah

Salary:

134000.00 - 191000.00 USD / Year

Boeing

Expiration Date

January 27, 2026

Requirements

5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space
5+ years of experience researching and applying large language and generative AI models
5+ years of experience with various machine learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc.
5+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures

Job Responsibility

Evaluate business objectives, determine stakeholder needs, and identify requirements
Choose best fit methods, define algorithms, validate, and deploy models to achieve business results
Perform necessary data preparation and enhancements to models
Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety
Working with data scientists leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base
Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally
Engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value
Evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization
Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value
Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation

What we offer

Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
several programs that provide for both paid and unpaid time away from work

Fulltime

Staff Machine Learning Engineer - Autonomy

As a Staff Machine Learning Engineer within the Autonomy team, you’ll lead criti...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production
Expert in deep learning (esp. sequential models, control, planning, or perception)
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Job Responsibility

Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems
Collaborate cross-functionally across various teams to ensure integration and iteration velocity
Mentor senior engineers and shape the long-term technical direction across Autonomy

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Chicago

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Familiarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Minneapolis

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Senior Machine Learning Engineer, Simulation

PlusAI

Location:
United States , Santa Clara

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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