$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
Machine Learning Tutor
Madison, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Madison, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...
... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...
... to-End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...
... to-End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...
Senior AI/ML Engineer
Watertown, WI · On-site +1
$99K - $136K/yr
... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
Senior AI/ML Engineer
Watertown, WI · On-site +1
$99K - $136K/yr
... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
Senior AI/ML Engineer
Watertown, WI · On-site +1
$99K - $136K/yr
... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
Senior AI/ML Engineer
Watertown, WI · On-site +1
$99K - $136K/yr
... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...
Senior Data Engineer
Brookfield, WI · Remote
$100K - $136K/yr
Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...
Senior Data Engineer
Brookfield, WI · Remote
$100K - $136K/yr
Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...
Senior Data Engineer
Brookfield, WI · On-site +1
$100K - $136K/yr
Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...
Senior Data Engineer
Brookfield, WI · On-site +1
$100K - $136K/yr
Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...
AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Strong foundation in machine learning fundamentals - supervised/unsupervised learning, time-series ...
AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Strong foundation in machine learning fundamentals - supervised/unsupervised learning, time-series ...
Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...
Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...
Sales Engineer - SLED -Midwest
Madison, WI · On-site +1
... machine learning concepts, and their practical business applications * Ability to articulate the ... Remote
Sales Engineer - SLED -Midwest
Madison, WI · On-site +1
... machine learning concepts, and their practical business applications * Ability to articulate the ... Remote
Software Development Engineer
Madison, WI · On-site +1
Design, train, and deploy machine learning models to solve business problems and improve system ... Hybrid/remote schedule with home office stipend * Fresh fruit, healthy snacks, and beverages ...
Software Development Engineer
Madison, WI · On-site +1
Design, train, and deploy machine learning models to solve business problems and improve system ... Hybrid/remote schedule with home office stipend * Fresh fruit, healthy snacks, and beverages ...
The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and ... Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub ...
The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and ... Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub ...
The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and ... Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub ...
The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and ... Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub ...
Join our team as a Cybersecurity Engineer, where you will execute and/or lead advanced security ... Cisco Certified Network Associate Cyber Security Operations (CCNA Cyber Ops) * Cybersecurity ...
Join our team as a Cybersecurity Engineer, where you will execute and/or lead advanced security ... Cisco Certified Network Associate Cyber Security Operations (CCNA Cyber Ops) * Cybersecurity ...
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Lead Machine Learning Engineer
On-site, Remote
Serve Robotics •Â
Internet and IT • 51 - 200 employees51 - 200 employees
$225K - $260K/yr
Full-time
Re-posted yesterday
Job description
At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.
Responsibilities
Qualifications
What Makes You Stand out
*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.
Responsibilities
- Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.
- Identify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.
- Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.
- Create and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.
- Configure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.
- Implement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.
- Work closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.
- Analyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.
- Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.
Qualifications
- Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.
- Minimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.
- Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
- Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.
- Solid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.
What Makes You Stand out
- Experience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.
- Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.
- Experience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.
- Peer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.
*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
- Canada - ALL: $177k - $215k CAD
About Serve Robotics
Sourced by ZipRecruiter
Industry
Internet and it
Company size
51 - 200 Employees
Headquarters location
Los Angeles, CA, US
Year founded
2017