Machine Learning Engineer

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, 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

Research Engineer - Machine Learning and Systems

We are hiring a principal level Research Engineer with deep strength in machine ...

Location

United States , New York City

Salary:

100000.00 - 250000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field, or equivalent research track record
Seven or more years of experience in applied ML or research engineering including significant time in fast paced or startup settings
Strong publication record in top venues such as NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, SIGGRAPH, or TOG with multiple first author papers or equivalent impactful artifacts
Proven experience training and serving large models at scale including multi GPU or multi node training, distributed data loading, mixed precision, and memory optimization
Fluency in Python and C++ and experience writing efficient CUDA or Triton kernels
Expertise with PyTorch or JAX and modern tooling for experiment tracking, evaluation, and deployment
Demonstrated ability to take ideas from paper to production with measurable impact on users or business outcomes
Strong systems skills including profiling, performance tuning, reliability engineering, and cost awareness
Excellent communication with the ability to work across research and product teams

Job Responsibility

Research, design, and implement models and systems across vision, generative modeling, simulation, rendering, and 3D perception
Build data, training, evaluation, and deployment pipelines with strong observability and reproducibility
Translate research insights into reliable production services that meet product and latency requirements
Contribute hands on across prototyping, optimization, integration, and scaling
Survey new methods and run grounded evaluations to identify what to adopt and when
Share expertise through design reviews, mentoring, and documentation

What we offer

Relocation support available

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 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

The Perception team is looking for a machine learning engineer to develop cuttin...

Location

United States , Palo Alto

Salary:

115000.00 - 130000.00 USD / Year

ALTEN Technology USA

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science and/or Computer Engineering
3+ years with a Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation
Experience with training and deploying Deep Learning models
Background in C++ and/or python
Excellent communication skills
Creative mindset willing to challenge the norms

Job Responsibility

Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications
Implement Perception model architectures and sophisticated training techniques
Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have collected
Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system

Fulltime

Staff Machine Learning Engineer – AV Labs

You will be an AI/ML engineer in AV Labs and involved in the development and imp...

Location

United States , San Francisco

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Minimum 6 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

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Machine Learning Engineer - Perception

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