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Pytorch Huggingface Jobs in Nevada (NOW HIRING)

TensorWave

Head of Customer Experience

Las Vegas, NV · On-site

Familiarity with AMD ROCm ecosystem, PyTorch, TensorFlow, HuggingFace, and LLM training/fine-tuning workflows * Experience in neocloud, alternative cloud providers, or companies disrupting incumbent ...

TensorWave

Head of Customer Experience

Las Vegas, NV · On-site

Familiarity with AMD ROCm ecosystem, PyTorch, TensorFlow, HuggingFace, and LLM training/fine-tuning workflows * Experience in neocloud, alternative cloud providers, or companies disrupting incumbent ...

All JobsPytorch Huggingface JobsPytorch Huggingface Jobs in Nevada

Pytorch Huggingface information

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

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

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

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What are Pytorch Huggingface developers?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.
What are popular job titles related to Pytorch Huggingface jobs in Nevada? For Pytorch Huggingface jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Nevada look for? The top searched job categories for Pytorch Huggingface jobs in Nevada are:
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Pytorch Huggingface jobs near you

Head of Customer Experience

TensorWave

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

 

About the Role

We’re looking for a Head of Customer Experience to join our team during an exciting phase of growth. In this role, you’ll be responsible for owning customer satisfaction, retention, and expansion, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

 

What You’ll Do

  • Define and execute TensorWave's hypergrowth customer operations strategy

  • Build, mentor, and scale a high-performing organization of technical customer success managers and operations professionals

  • Design and optimize the customer journey from POC/evaluation through production deployment, scaling, renewal, and expansion.

  • Lead quarterly business reviews and strategic planning sessions with customer Engineering stakeholders

  • Act as voice of the customer within TensorWave, advocating for needs related to AMD GPU performance, ROCm software stack, platform features, and infrastructure scaling

  • Proactively identify at-risk enterprise accounts based on utilization patterns, support tickets, or competitive pressures and orchestrate recovery strategies

  • Develop and lead customer advisory boards, executive forums, and industry working groups to strengthen TensorWave's position in the AI infrastructure ecosystem

  • Recruit, develop, and retain top-tier customer success talent with strong technical backgrounds in AI/ML infrastructure, GPU computing, and cloud platforms

  • Design scalable processes, runbooks, and best practices for managing enterprise customers with diverse workloads (LLM training, inference, fine-tuning, HPC)

  • Implement robust performance management frameworks with clear metrics around customer health, GPU utilization, expansion pipeline, and NRR

  • Deploy and optimize customer success platforms integrated with usage analytics, GPU telemetry, and business intelligence systems

  • Partner with Sales on seamless handoffs, technical account planning, competitive displacement strategies (NVIDIA to AMD), and enterprise sales cycles

  • Collaborate with Product and Engineering to translate customer feedback on AMD GPU performance, ROCm compatibility, platform features, and infrastructure needs into roadmap priorities

  • Build strong partnerships with Sales, Product, Marketing, Engineering, Operations, and within the broader AMD ecosystem.

  • Contribute to board and executive level reporting on customer metrics

 

Who You Are

Required Qualifications

  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

  • 7+ years of experience in customer success, enterprise account management, or solutions engineering roles in cloud infrastructure, GPU computing, or AI/ML platforms

  • 5+ years of people management experience, including managing managers and building high-performing teams from scratch

  • Proven track record leading customer success at scale in high-growth infrastructure or platform companies

  • Strong technical fluency with cloud computing, GPU architecture, and AI/ML workload

  • Ability to engage credibly with customer ML engineers and infrastructure teams

  • Exceptional executive presence with ability to engage and influence C-level and VP-level engineering/technical stakeholders

  • Strategic thinker with strong business acumen, analytical capabilities, and data-driven decision-making approach

  • Outstanding communication and presentation skills with ability to inspire teams, influence cross-functionally, and represent TensorWave at industry events

  • Experience building scalable CS operations, implementing health scoring systems, and establishing data-driven customer engagement models

  • Track record of recruiting, developing, and retaining high-performing teams in competitive talent markets

Preferred Qualifications

  • MBA or advanced technical degree (MS in CS, ML, or related field)

  • Hands-on experience with GPU computing (AMD Instinct, NVIDIA A100/H100) and understanding of AI/ML training and inference workloads

  • Familiarity with AMD ROCm ecosystem, PyTorch, TensorFlow, HuggingFace, and LLM training/fine-tuning workflows

  • Experience in neocloud, alternative cloud providers, or companies disrupting incumbent markets

  • Background in technical pre-sales, solutions architecture, or DevOps/ML engineering

  • Experience managing customer relationships during platform migrations or competitive displacement scenarios (especially NVIDIA to AMD transitions)

  • Strong network in AI/ML, cloud infrastructure, or HPC communities

  • Prior experience at high-growth startups that scaled from Series A to IPO or acquisition

 

What We Offer

  • Stock Options

  • 100% paid Medical, Dental, and Vision insurance for Employees

  • Company Health Savings Account Contributions

  • 100% paid Short Term and Long Term Disability Insurance for Employees

  • Life and Voluntary Supplemental Insurance Options

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

 

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

 

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

 

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

 

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

 

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.