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Pytorch Research Jobs (NOW HIRING)

MANTECH

Research Scientist

Catonsville, MD

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance ... Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch

MANTECH

Research Scientist

Catonsville, MD · On-site

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance ... Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires * Develop performant, distributed pipelines and algorithms for EEG data ...

Skild AI

Research Engineer

San Mateo, CA

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

Erth.AI Inc.

Research Engineer

San Francisco, CA

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Create advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Create advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow ...

Hedra

Research Engineer

San Francisco, CA · On-site

$175K - $275K/yr

As a Research Engineer on our Physical AI team, you will lead pre-training and post-training on ... Build distributed training infrastructure using PyTorch, FSDP, and DeepSpeed * Work with multimodal ...

Acceler8 Talent

Research Engineer

San Francisco, CA · On-site

Strong Python and deep learning framework experience (PyTorch preferred) * Ability to rapidly prototype and iterate in open-ended research environments * Experience in interpretability, alignment, or ...

Sciforium

Senior Research Scientist

San Francisco, CA · On-site

$190K - $250K/yr

Design, implement, and evaluate novel ML algorithms using frameworks like PyTorch and JAX ... Produce high-quality research output including papers, internal reports, patents, and reproducible ...

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Pytorch Research information

What are the key skills and qualifications needed to thrive as a PyTorch Researcher, and why are they important?

To thrive as a PyTorch Researcher, you need a deep understanding of machine learning, statistics, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency in PyTorch, as well as experience with deep learning frameworks, GPU computing, and version control systems like Git, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are valuable soft skills that distinguish top researchers. These skills are crucial for developing innovative models, efficiently collaborating with teams, and advancing research in rapidly evolving AI environments.

What types of projects or problems do PyTorch Research professionals typically work on within a research team?

PyTorch Research professionals are often involved in designing and developing innovative deep learning models, conducting experiments, and exploring novel algorithms using the PyTorch framework. Their daily work may include tasks such as implementing new neural network architectures, optimizing existing models, and collaborating with data scientists, engineers, or academic researchers to publish findings or build prototypes. The role frequently requires staying updated with the latest advancements in machine learning and contributing to open-source projects or academic publications, making it both challenging and rewarding for those passionate about research and experimentation.

What is PyTorch research?

PyTorch research involves using the PyTorch deep learning framework to develop, test, and analyze new machine learning models and algorithms. Researchers in this field typically experiment with neural networks, natural language processing, computer vision, and other AI applications using PyTorch's flexible and user-friendly tools. The aim is to advance the state-of-the-art in AI by publishing papers, releasing code, or contributing to open-source projects. PyTorch research is highly collaborative and often involves working at universities, tech companies, or research labs.

Research Engineer (Python/Pytorch)

CSS Tec

Garnet Valley, PA

Other

Posted 16 days ago

Job description


3 days ONSITE

Job Overview: We are seeking a skilled and motivated Mid-Level Research Scientist to join our team. The ideal candidate will focus on developing and deploying multimodal machine learning models specifically for speaker identification and verification tasks. This role involves designing and refining neural architectures that encompass various features, training and evaluating deep learning models, and enhancing the robustness of these systems for real-world applications in voice authentication and behavioral analysis.

Key Responsibilities:

•Model Development: Design innovative neural architectures that integrate speech,acoustic, and linguistic features for speaker identification and verification tasks.

•Data Handling: Train deep learning models on large-scale datasets, includingparticipation in the construction and annotation of specialized datasets, such as theAmerican Dream Dataset.

•Evaluation & Benchmarking: Benchmark age prediction and speaker verificationmodels, leveraging datasets to enhance model performance and demonstrate superiorgeneralization.

•Research Prototyping: Conduct research initiatives focused on cross-modalrepresentation learning and predictive modeling of political career advancement usingvoice quality and prosodic features.

•Optimization: Optimize existing models, including the development of lightweightarchitectures for resource-constrained environments, such as real-time image captioningsystems.

•Architecture Design: Evaluate and benchmark diverse adapter architectures for vision-text alignment, while achieving state-of-the-art performance metrics on establisheddatasets (e.g., COCO dataset).

•Collaboration: Collaborate with cross-functional teams to translate research findings intoscalable solutions and real-world applications.

Required:

•Master’s or PhD in Computer Science, Electrical Engineering, or a related field.

•3-5 years of experience in machine learning and deep learning, with a proventrack record of developing multimodal models.

•Strong proficiency in programming languages such as Python and frameworksincluding TensorFlow and PyTorch.

•Experience with acoustic and linguistic feature extraction and understanding ofspeaker identification and verification systems.

•Familiarity with natural language processing (NLP) and computer visionintegrations, particularly in real-time applications.

•Strong analytical and problem-solving skills, with the ability to work independentlyand as part of a team.

•Excellent communication skills to present complex technical concepts to diverseaudiences.

Preferred Skills:

•Publications in relevant conferences or journals.

•Experience in research involving behavioral analysis and authenticationsystems.

•Understanding of model efficiency and optimization strategies for deployingmachine learning models in production.

 

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