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Senior Applied Nlp Ml Engineer Jobs in San Francisco, California

Software Engineer - Ai/Ml Services
By GSK At , San Francisco, Ca $121,448 - $164,312 a year

Important notice to Employment businesses/ Agencies

Ml/Ai Engineer Jobs
By Air AI At San Francisco, CA, United States
Bonus: Brings experience with real-time audio models. This would have significant impact on our operations in audio processing.
Bonus: Experience or past work demonstrating quick iterations for implementing recent publications.
Constantly focuses on improving existing models, as opposed to pioneering new research.
30,000 Foot View On Air:
You are on a floating rock in the middle of the universe.
And every “all time great” team throughout history has 2 similarities:
Ml/Nlp Cto Jobs
By Neolist At San Francisco, CA, United States
Must have experience leading the development of ML/NLP systems, with a proven track record of success.
Must have experience working in a startup environment.
Build and manage a team of developers, data scientists, and engineers to develop a high-quality AI platform.
If you're a self-motivated, skilled ML/NLP CTO who's looking for an exciting new opportunity, please apply today!
Must be able to work independently and be self-motivated.
Must be willing to take on a co-founder/equity-only role.
Ai/Ml Software Engineer
By Toyon Research Corporation At Goleta, CA, United States

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop ...

Ai/Ml Engineer - Python
By Laksan Technologies At Santa Clara, CA, United States
Experience on any web framework.
Knowledge on cognitive search/LLM based search with variety of data sources.
Experience implementing AI/ML use cases.
Good knowledge on data handling/massaging, preprocessing, setting up data pipelines
Should be self motivated, fast learner and strictly individual contributor.
Ml/Ai Engineer Jobs
By Neudesic At Irvine, CA, United States
Strong data wrangling skills and proven experience working with large, complex datasets.
Experience deploying models, operationalizing models into business processes.
Advanced knowledge of machine learning models and techniques (regression, classification, decision trees, clustering, and neural networks, etc.)
Proven experience building and deploying ML models in Azure cloud.
Experience with AI technologies, particularly OpenAI and GPT.
Experience with LangChain, Hugging Face.
Ml Engineer Jobs
By Quess US At Santa Clara, CA, United States
Experience with model registry, feature engineering, embeddings
Airflow [Training and inferencing ML pipelines]
Vector databases (Vespa / Weaviate / Pinecone)
Quess is hiring for one of our large Clients for a Ml Engineer:
Senior Software Engineer, Ml Platform
By SambaNova Systems At Palo Alto, CA, United States
Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle
4+ years of experience in software development
Experience with Docker and Kubernetes
Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.
Experience with containerization of ML models and deployment of ML models as APIs
Sr. Data Engineer - Ai/Ml
By Stanford Health Care At Palo Alto, CA, United States
Knowledge of resource management and automation approaches such as workflow runners.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related, or equivalent working experience
Experience with cloud deployment strategies and CI/CD
Experience building and working with data infrastructure in a SaaS environment
Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
Experience working with healthcare data.
Senior Sales Director - Ai / Ml Platform $200M+ Funding
By Zearch At San Francisco Bay Area, United States
6+ years 1st / 2nd line sales management experience.
Strong Influencing, negotiation and commercial skill.
Great people leadership skills; proven track record of influencing and drive.
Proven large, complex deal experience.
Build and lead a top performing team positioning AI / ML Ops to top Global accounts.
Generate net new revenue through developing current accounts and securing new customers.
Software Engineer - Ml Ops
By Motion Recruitment At Los Angeles, CA, United States
Experience building tools and capabilities for end to end model deployment, model management, and performance monitoring
experience building tools and capabilities for end to end model deployment, model management, and performance monitoring
Team up with other teams to develop ML models and follow the best practices in engineering and Ops
Senior Ai/Ml Engineer
By Tarana Wireless, Inc. At San Francisco Bay Area, United States
5-12 years of experience building large scale, ML/AI models
Experience re-incorporating feedback in your models
Experience with TensorFlow, PyTorch, etc. at scale
Experience with Large Language Models and tools a plus
Model visualization, explanation and tracking
Data tracking and quality monitoring
Data Scientist/Ml Engineer
By Peritus Inc At Los Angeles, CA, United States
·Knowledge of MLOps principles (model deployment, monitoring, life cycle management, etc.)
·Experience using version control systems (Git strongly preferred) and working in a remote software development environment
·Bachelor’s Degree or equivalent experience in Computer Science or related field
·Experience in at least one programming language (Python strongly preferred)
·Experience using data science/machine learning technologies such as H2O or Scikit-learn (H2O preferred)
Ml Infrastructure Engineer, Autopilot Ai / Tesla Bot (Pytorch, Distributed Systems)
By Tesla At Palo Alto, CA, United States
Experience with at least one deep learning framework (ideally in PyTorch).
Demonstrated experience in profiling CPU/GPU code.
Optional: Experience with high-performance networking (e.g. Infiniband, RDMA, NCCL).
Optional: Experience programming in C/C++ and CUDA.
Family-building, fertility, adoption and surrogacy benefits
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Nlp Application Engineer Jobs
By Simplain Software Solutions LLC At Diamond Bar, CA, United States
Strong organizational skills and the ability to manage multiple tasks and projects simultaneously.
Collaborate with data scientists, software engineers, and UX/UI designers to define requirements and deliver robust solutions.
Experience with popular NLP libraries and frameworks, such as NLTK, spaCy, Transformers, or Stanford NLP.
Experience in building and deploying NLP applications in production environments.
Strong problem-solving and debugging skills, with the ability to identify and resolve issues in NLP systems.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Applied Ventures Senior Director
By Applied Materials At , Santa Clara, Ca $188,000 - $258,500 a year
Negotiates with startups, senior management, legal, investors, regulators or vendors to influence decisions
Create and manage a balanced portfolio of investments
Board experience (Director or Observer) is a must
Asia Investment experience is a plus
Experience as a technology startup entrepreneur is a plus
Experience at a top-tier VC, CVC, PE, Consulting firm is a plus
Ml/Deep Learning Engineer
By AppZen At San Jose, CA, United States
Experience with TensorFlow/Keras and/or Pytorch, Scikit Learn, Matplotlib, NLTK or other associated packages
Self starter and ability to manage and own projects
MS with 3-5+ years or PhD with 1-2 years of related work experience
Comprehensive medical, dental, vision and life insurance benefits
These benefits are only applicable to full time employees
Building Deep Learning based NLP/Document AI models - transformers, reinforcement learning
Software Engineer - Ai/Ml
By Snorkel AI At Redwood City, CA, United States
4+ years experience in delivering distributed and ML systems and services in a production setting for cloud-native applications
Experience with distributed compute frameworks and deep learning frameworks
Strong communication and coding skills with emphasis on designing for scale and robustness
Experience owning the delivery of large multi-person projects
8+ years of professional software engineering experience
Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)
Software Engineer, Perception/Ml/Cv
By Agtonomy At South San Francisco, CA, United States
Experience handling large datasets efficiently
Experience curating synthetic and real-world image datasets
Experience building algorithms for various hardware sensors (eg, LiDAR, camera, radar, etc.)
Strong mathematical skills and understanding of probabilistic techniques
Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders
Experience with real-time sensor fusion, and 3D data representations (pointclouds, meshes, etc.)
Software Engineer Ai/Ml
By Addy AI At San Francisco Bay Area, United States

We are seeking a highly motivated and skilled software engineer with expertise in Artificial Intelligence/Machine Learning (AI/ML) and Natural Language Processing (NLP). The ideal candidate will have ...

Are you an experienced Senior Applied NLP/ML Engineer looking for an exciting new challenge? We are looking for a creative problem solver to join our team and help us develop cutting-edge Natural Language Processing and Machine Learning solutions. You will be responsible for designing and implementing algorithms to solve complex problems and create innovative products. If you are passionate about pushing the boundaries of technology and have a strong background in NLP/ML, then this is the job for you!

Overview:

A Senior Applied NLP ML Engineer is a highly skilled professional who is responsible for developing and deploying natural language processing (NLP) and machine learning (ML) solutions to solve complex business problems. The Senior Applied NLP ML Engineer is responsible for designing, developing, testing, and deploying NLP and ML models and algorithms to solve real-world problems.

Detailed Job Description:

The Senior Applied NLP ML Engineer is responsible for designing, developing, testing, and deploying NLP and ML models and algorithms to solve real-world problems. The Senior Applied NLP ML Engineer will be responsible for researching and developing new NLP and ML algorithms and models, as well as optimizing existing models. The Senior Applied NLP ML Engineer will also be responsible for developing and deploying NLP and ML solutions to production.

What is Senior Applied Nlp Ml Engineer Job Skills Required?

• Expertise in natural language processing (NLP) and machine learning (ML)
• Knowledge of NLP and ML algorithms and models
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of data engineering and data analysis
• Ability to work independently and collaboratively
• Excellent problem-solving and analytical skills
• Excellent communication and interpersonal skills

What is Senior Applied Nlp Ml Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• 5+ years of experience in NLP and ML
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with programming languages such as Python, Java, and C++
• Experience with data engineering and data analysis
• Experience with cloud computing platforms such as AWS, Azure, and GCP

What is Senior Applied Nlp Ml Engineer Job Knowledge?

• Knowledge of natural language processing (NLP) and machine learning (ML) algorithms and models
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of data engineering and data analysis
• Knowledge of cloud computing platforms such as AWS, Azure, and GCP

What is Senior Applied Nlp Ml Engineer Job Experience?

• 5+ years of experience in NLP and ML
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with programming languages such as Python,