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

Senior Machine Learning Engineer – Perception & Embodied AI

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

170600.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field
5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment
Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs
Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar)
Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems
Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation

Job Responsibility

End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as: 3D Object Detection and Tracking (vehicles, pedestrians, cyclists)
Real-time map detection of the drivable world (lanes, road boundaries, traffic signs)
Multi-Modal Sensor Fusion (Camera, LiDAR, Radar)
Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development
Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware
Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions)
Metric Definition: Define and implement robust model-level metrics to aid model development
System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Machine Learning Engineer, Computer Vision - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting
5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning
Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
Building real-time and batch ML systems that analyze structured and unstructured signals
Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements

Job Responsibility

Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)
Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research
Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Senior Staff Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Minimum 8 years of working experience in the ML/Robotics industry
Bachelor degree in computer science, computer engineering or related fields
Proficient in Python and Linux
Proficient in perception technologies
Familiar with OpenCV, TensorFlow/PyTorch
Experience in leading large initiatives

Job Responsibility

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
Participate in developing the vision and technology roadmap for ML and Computer Vision at Uber
Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability, while reducing operational overhead
Systems architecture design, including management of upstream and downstream dependencies
Drive datasets to accelerate ML and Computer Vision technologies, sensor data collection, processing, labeling, indexing and building comprehensive driving scenarios
Collaborate with platform, product and security engineering teams, and enable successful use of the latest ML techniques
Own the craftsmanship, reliability, and scalability of your solutions
Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Principal Machine Learning Engineer

This is a high-leverage leadership role that spans architecture, execution, and ...

Location

India , Bengaluru

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field
A strong track record (usually 10-12+ years) of applied experience with ML techniques, especially in large-scale settings
Experience building production ML systems that operate at scale (latency / throughput / cost constraints)
Experience in Knowledge retrieval and Search space
Exposure in building Agentic Systems and Frameworks
Proficiency in relevant programming languages (e.g. Python, C++, Java) and ML frameworks (TensorFlow, PyTorch, etc.)
Strong understanding of the full ML lifecycle: data pipelines, feature engineering, model training, serving, monitoring, maintenance
Experience designing systems for monitoring, diagnostics, logging, model versioning, etc.
Deep knowledge of computational trade-offs: distributed training, inference, optimizations (e.g. quantization, pruning, batching)
Excellent communication skills

Job Responsibility

Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products
Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning
Define and own the multi-year ML roadmap for GenAI infrastructure — including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines
Identify and integrate cutting-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Ema’s products or infrastructure
Research, prototype, and integrate cutting-edge ML and LLM advancements (reasoning, memory architectures, multi-modal perception, long-context models, autonomous agents) into the platform
Optimize trade-offs between accuracy, latency, cost, interpretability, and real-world reliability across the agent lifecycle — from prompt design to orchestration and execution
Champion engineering excellence — drive observability, reproducibility, versioning, testing, and bias-aware development across ML and agentic systems
Mentor and elevate senior engineers and researchers, fostering a culture of scientific rigor, experimentation, and system-level thinking
Collaborate cross-functionally with product, infra, and research teams to align ML innovation with enterprise needs — enabling secure integrations, privacy-aware deployments, and scalable use cases
Influence data strategy — guide how retrieval indices, embeddings, structured/unstructured corpora, and feedback loops evolve to improve grounding, factuality, and reasoning depth

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Boston

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Senior Machine Learning Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Seattle

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

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

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Senior Machine Learning Engineer, Perception

Job Description

Job Responsibility

Requirements

Nice to have

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