Senior Machine Learning Engineer - Maps Job at Uber (Amsterdam)

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 Applied Machine Learning Engineer

We are looking for a Senior Applied Machine Learning Engineer to join the Live t...

Location

Germany , Berlin

Salary:

140000.00 - 150000.00 EUR / Year

Strava

Expiration Date

Until further notice

Requirements

Have worked on numerous machine learning problems and broken them down into incremental tasks
Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams
Have experience building, shipping, and supporting ML models in production at scale
Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker
Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, Snowflake)
Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing
Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Scala, Go

Job Responsibility

Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities
Integrate and Collaborate with Product, Design, Client and Server engineers: Be excited about the impact and build Applied ML solutions anchored on the user experience
Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including mapping, routing, search and more
Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

What we offer

Offers Equity

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior Engineer, Quantum Algorithms

We are looking for a Software Engineer with deep expertise in Mathematical Optim...

Location

United States , Hoboken

Salary:

Not provided

Quantum Computing Inc.

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering with a focus on systems or HPC
Strong proficiency in C++ and Python
Experience with quantum algorithms, quantum information, or quantum optics
Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods
Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)
Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration
Strong understanding of performance tuning, memory management, and fault-tolerant design
Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)
Experience working in cross-functional teams involving hardware, physics, and software.

Job Responsibility

Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers
Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer
Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces
Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality
Write efficient, thread-safe code for concurrent hardware control and real-time signal processing
Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines
Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources
Contribute to quantum algorithms on the company roadmap

Fulltime

Senior ML Engineer

We are the global test and automation specialists, powering next-generation tech...

Location

United States , North Reading

Salary:

158600.00 - 253700.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

5+ years of experience in machine learning, applied AI, or related fields
Hands-on experience fine-tuning large language models
Experience with reinforcement learning (e.g., policy gradients, PPO, actor-critic methods)
Experience designing reward models or evaluation systems
Strong software engineering skills (Python, distributed systems familiarity)
Experience building production ML systems (MLOps, monitoring, deployment)
Ability to work cross-functionally with product, software, and hardware teams
Strong communication skills
comfortable engaging directly with customers & stakeholders
Computer vision skills in manufacturing inspection: defect detection, etc.

Job Responsibility

Own the technical direction and quality of all ML model development across Teradyne's AI initiatives, setting and enforcing engineering standards across the team
Lead end-to-end development of production ML systems: data ingestion and feature engineering, model architecture design, training pipelines, evaluation frameworks, and deployment
Design and implement novel ML approaches tailored to Teradyne's unique data domain including time-series parametric test data (STDF/TEMS), wafer map analysis, etc.
Drive applied research and model innovation, explore and evaluate new architectures, algorithms, and training methodologies, and translate promising approaches into production systems
Develop and maintain rigorous model evaluation frameworks, including validation methodologies, risk quantification, and production monitoring strategies
Lead technical design reviews
serve as final arbiter of ML architecture and modeling decisions for the team
Build and maintain production ML systems with a strong focus on reliability, scalability, and performance in Teradyne's ATE and manufacturing environments
Partner directly with customers and application engineers to understand real-world debug workflows and translate them into ML solutions
Mentor and develop junior ML engineers

What we offer

medical
dental
vision
Flexible Spending Accounts
retirement savings plans
life and disability insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Test Engineer- AI Testing

Location

Morocco , Rabat

Salary:

Not provided

Cyclad Sp. z o.o.

Expiration Date

Until further notice

Requirements

Experience: 6 - 8 years
Strong experience in software testing (manual + automation) with focus on AI systems
Hands-on expertise in Python for test automation, data validation, and AI testing scripts
Knowledge of Gen AI frameworks (Langchain, Langgraph, CrewAI)
Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
Strong understanding of data validation, model evaluation metrics, and drift detection
API testing experience (REST, GraphQL) with tools like Postman or REST Assured
Solid knowledge of cloud platforms (AWS, Azure, GCP) for AI deployments
Exposure to AI ethics and compliance testing
Knowledge of containerization & orchestration (Docker, Kubernetes)

Job Responsibility

Design and execute test strategies for machine learning models (classification, regression, NLP, CV, etc.)
Validate model accuracy, fairness, bias detection, explainability, and robustness under varying datasets
Perform adversarial testing and edge-case validation for AI systems
Test autonomous agents, multi-step reasoning paths, and state transitions
Validate correctness, grounding, consistency, and safety of LLM outputs
Evaluate prompt robustness and behavioral variations across scenarios
Validate retrieval accuracy, grounding quality, and hallucination reduction
Test vector store behavior, document chunking logic, and retriever configurations
Validate fallback behaviors when tools or external services fail
Execute adversarial, prompt-injection, and red team style testing

Select Country

Senior Machine Learning Engineer - Maps

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?