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Executive Pytorch Jobs (NOW HIRING)

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

... Executive Service leaders, and operational analysts. The Senior AI Engineer serves as a senior ... PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying ...

They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation ... And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ...

They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation ... And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ...

Facilitate stakeholder communication, including executive reporting, demos, and change management ... PyTorch, or similar). * Excellent communication skills; ability to bridge technical and business ...

... ROCm, ONNX, PyTorch, inference runtimes) • Apply a data-driven approach to profiling ... executive audiences Company : Advanced Micro Devices is a semiconductor company that designs and ...

... PyTorch for model training, and employing Generative Adversarial Networks (GANs) for data ... executive leadership, and external partners to align technical goals with overarching business and ...

... executive decisions. Qualifications: * Master's degree or bachelors degree and equivalent ... Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical ...

... executive decisions. Qualifications: * Master's degree or bachelors degree and equivalent ... Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical ...

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Showing results 1-20

Executive Pytorch information

See salary details

$26.5K

$93.6K

$184K

How much do executive pytorch jobs pay per year?

As of Jun 26, 2026, the average yearly pay for executive pytorch in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Pytorch vs Machine Learning Engineer?

AspectExecutive PytorchMachine Learning Engineer
Required CredentialsAdvanced degrees in CS, AI, or related fields; experience with PytorchDegree in CS, Data Science, or related; proficiency in Pytorch
Work EnvironmentLeadership roles, strategic planning, overseeing AI projectsHands-on development, coding, model training
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, startups, research labs
Common Search & ComparisonOften compared for leadership vs technical roles in AITechnical implementation vs strategic oversight

Executive Pytorch roles focus on strategic leadership, project oversight, and high-level decision-making in AI projects, often requiring advanced degrees and experience. Machine Learning Engineers are more hands-on, involved in developing and deploying models using Pytorch. Both roles are vital in AI development but differ in responsibilities and work environment.

What are Executive PyTorch professionals?

Executive PyTorch professionals are leaders or decision-makers who oversee projects or teams that utilize PyTorch, an open-source machine learning framework. They are responsible for setting strategic direction, managing resources, and ensuring that machine learning initiatives align with organizational goals. These executives typically have a strong understanding of both business strategy and the technical capabilities of deep learning frameworks like PyTorch. Their role may involve collaborating with data scientists, engineers, and stakeholders to drive innovation and deliver value through AI solutions.

How does an Executive PyTorch professional typically collaborate with cross-functional teams to drive AI initiatives?

An Executive PyTorch professional often works closely with data scientists, machine learning engineers, product managers, and business stakeholders to align technical AI solutions with organizational goals. They may oversee the design and deployment of PyTorch-based models, ensure that project timelines are met, and facilitate knowledge sharing between technical and non-technical teams. Effective collaboration involves translating business needs into actionable machine learning projects and ensuring seamless integration of models into products or services. This role frequently requires balancing high-level strategic decisions with an understanding of the technical challenges faced by the team.

What are the key skills and qualifications needed to thrive as an Executive specializing in PyTorch, and why are they important?

To thrive as an Executive specializing in PyTorch, you need a deep understanding of machine learning, AI strategy, and business management, typically supported by advanced degrees in computer science or engineering and proven leadership experience. Familiarity with PyTorch, cloud computing platforms, and data management systems, as well as certifications in AI or project management, are often expected. Strong leadership, communication, and strategic vision are crucial soft skills that set successful executives apart. These skills and qualifications are vital for aligning technical capabilities with organizational goals and driving innovation and growth.
More about Executive Pytorch jobs
What cities are hiring for Executive Pytorch jobs? Cities with the most Executive Pytorch job openings:
What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
What states have the most Executive Pytorch jobs? States with the most job openings for Executive Pytorch jobs include:
Infographic showing various Executive Pytorch job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 42% Full Time, 2% Part Time, 4% Temporary, and 49% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Senior Data Scientist - NLP/LLM Specialist

Senior Data Scientist - NLP/LLM Specialist

Scismic

San Diego, CA • On-site

$155K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Scismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a "builder's mindset," empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment.
The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries.
Ideal Candidate Profile
You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential.
Equal Opportunities
Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.
In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.
Responsibilities:
  • Lead client workshops and discovery sessions to identify NLP opportunities
  • Develop and present technical proposals to C-level executives
  • Manage multiple client projects simultaneously while maintaining quality and timelines
  • Design and implement novel NLP solutions for complex business problems
  • Architect scalable solutions for processing and analyzing large text corpora
  • Build custom language models tailored to each client's unique industry challenges
  • Automate repetitive analytical tasks and develop reusable algorithmic frameworks
  • Mentor junior data scientists and provide technical guidance on NLP projects
  • Develop automated content analysis, document processing, and customer insight systems
  • Create scalable text analytics platforms that drive measurable business outcomes
  • Work across retail, finance, healthcare, and media sectors
  • Translate complex AI capabilities into clear business value propositions

Technical Environment:
  • Languages: Python (primary), R, SQL, potentially C++ for optimization
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
  • Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure)
  • Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases

Required Qualification:
  • PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field
  • Minimum 5 years of professional experience in data science, machine learning, or related roles
  • Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques
  • Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale
  • Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem
  • MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments
  • Experience writing production code and ensuring well-managed software delivery
  • Experience with foundation models (GPT, BERT, T5, LLaMA, etc.)
  • Knowledge of retrieval-augmented generation (RAG) systems
  • Understanding of model compression techniques (quantization, distillation, pruning)
  • Experience with evaluation metrics and benchmarking for language models

Preferred:
  • Experience in consulting or client-facing technical roles
  • Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis)
  • Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML)
  • Open-source contributions to major ML/NLP libraries

Benefits:
  • Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks
  • Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance)
  • Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays)
  • Four-week sabbatical every five consecutive years of employment
  • Exceptional parental leave benefits
  • Global mentorship and networking programs
  • Monthly cell phone reimbursement
  • 401k savings and employee stock purchase plan
  • Volunteer hours (20 hours annually) for designated non-profit partner and personal choice
  • Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee)
  • Career growth opportunities (multi-day customized trainings for each level)

Equal Opportunities:
  • Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.
  • In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
  • In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.

$155,000 - $240,000 a year