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Manager Spacex Machine Learning Jobs (NOW HIRING)

Avride

Machine Learning Engineer

Austin, TX · On-site

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

SpaceX is actively developing technologies to enable human life on Mars and is seeking a Data ... Preferred : • 1+ years of professional experience in analytics, data science, or machine learning ...

SpaceX

Application Software Engineer, Data

Hawthorne, CA · On-site

$145K - $175K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

SpaceX is actively developing technologies to enable human life on Mars, and they are seeking a ... Preferred : • 1+ years of professional experience in analytics, data science, or machine learning ...

Autodesk

Machine Learning Engineering Manager

Boston, MA

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...

Autodesk

Machine Learning Engineering Manager

New York, NY

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...

Pelica Health

Machine Learning Engineer

The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes ...

New

Avride

Machine Learning Engineer

Austin, TX

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

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Manager Spacex Machine Learning information

What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?

AspectManager Spacex Machine LearningData Scientist Spacex
CredentialsAdvanced degrees in CS, ML, or related fields; leadership experienceDegree in CS, Data Science, or related fields; strong analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, model development, experimentation
Industry UsageOversees ML teams, manages projects, aligns with business goalsBuilds models, analyzes data, provides insights

The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.

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What are the most commonly searched types of Spacex Machine Learning jobs? The most popular types of Spacex Machine Learning jobs are:
What states have the most Manager Spacex Machine Learning jobs? States with the most job openings for Manager Spacex Machine Learning jobs include:
Manager Spacex Machine Learning jobs near you

Machine Learning Engineer

Avride

Austin, TX • On-site

Full-time

Posted 5 days ago

Job description

About the Team
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.
Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
About the Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.
You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.
What You'll Do
  • Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle's surroundings or predicting the intentions of other road users.
  • Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
  • Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
  • Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
  • Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
  • Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
What You'll Need
  • Strong understanding of fundamental machine learning algorithms and neural network techniques.
  • Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
  • At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
  • Working knowledge of C++ and SQL.
  • Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
  • Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Nice to Have
  • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
  • Experience developing ML algorithms for autonomous vehicles or robotics applications.
  • Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
  • Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
  • Experience working in cross-functional teams within a multidisciplinary environment.
  • Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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