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:
Generative Ai (Bard, Chatgpt, Midjourney) Side Hustle Expert
By Fud, Inc. At San Francisco, CA, United States
You are aware of the trends in future of work, personal finance, and entrepreneurship
Ability to work independently and manage your time effectively
Content Creator — YouTube, TikTok, or Instagram
Reselling and Thrifting — including eBay, Etsy, Mercari, Poshmark, and others
E-Commerce — including Amazon, Shopify, and your own online store
Gig Economy — like DoorDash, Uber, or Lyft
Senior Software Engineer (Ai)
By Dashworks At San Francisco, CA, United States
Collaborate with product managers, designers, and data scientists to understand and define product requirements and user stories.
After coming out of stealth last year, we launched our self-serve offering in Q4 2022 and are growing rapidly
5+ years of full-stack software development experience, with a strong focus on AI-driven products and applications.
Experience with RESTful API design and development.
Strong understanding of databases and data modeling, including experience with SQL and NoSQL databases.
Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
Senior Product Manager, Tech, Personalization & Generative Ai
By Amazon Music At San Francisco, CA, United States
5+ years of technical product or program management experience
4+ years of technical product management and/or engineering experience particularly in building ML models, technical platforms and APIs
2+ years of end to end product delivery experience
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Lead Machine Learning Research Engineer, Generative Ai
By Scale AI At San Francisco, CA, United States
Strong programming skills in Python, experience in PyTorch or Tensorflow
Experience with MLOps and the automation of model training & evaluation
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Publication experience in the field or related topics.
Experience with model optimization techniques for both training and inference
Work with massive datasets to develop both generic models as well as fine-tune models for specific products.
Senior Software Engineer - Ecommerce Ai
By Scaleapi At , San Francisco, Ca
3+ years of full-time engineering experience, post-graduation
Experience scaling products at hyper growth startups
Experience tinkering with or productizing LLMs, CV, vector databases, and the other latest AI technologies
Experience working fluently with standard orchestration & deployment technologies like Kubernetes, Temporal, Terraform, Docker, etc in multiple clouds
Experience at other API technology companies
Own large new areas within our product
Partnerships Solution Architect, Generative Ai
By Cohere At San Francisco, CA, United States
Collaborating with the Product and Engineering teams to ensure our offering match the customers’ desires
5+ years of customer-facing technical pre/post sales Solutions Architect experience, and working with partners in GTM engagements
Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
Leading the technical talk track on customer calls
Deep dives on customer problems and Cohere technology
Designing novel solutions with bleeding-edge NLP technology
Genomic/Ai Intern Jobs
By Tenaya Therapeutics At San Francisco, CA, United States
Strong interest and experience in machine learning and deep learning
Strong communication skills and ability to present the research findings to the team
Developing machine learning models to investigate functional implications of in-vitro and in-vivo perturbations
Data visualization and interpretation of biological findings
Presenting research findings to the team in weekly and monthly meetings
Currently pursuing B.S., M.S., or Ph.D. degree in computer science, computational biology, bioinformatics, biostatistics, statistics, or related quantitative fields.
Ai Product Engineer Jobs
By Semgrep At San Francisco, CA, United States
Experience hacking with GPT-4, Codex, or other LLMs
Experience with ML algorithms and/or research
Experience working in a startup or fast-paced environment, comfortable with discarding prototypes weekly
Code security interest is a plus but not a requirement
College degree is not a requirement
Integrate AI platform APIs into the product
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.
Research Scientist, Generative Ai - New College Grad 2023
By NVIDIA At , Santa Clara $156,000 - $247,250 a year
Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)
Excellent collaboration and interpersonal skills
Great knowledge of common deep-learning frameworks
Experience in processing or curating large-scale datasets
Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics
Conduct original research in the space of generative AI
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.
Senior Software Engineer - Ai
By NVIDIA At Santa Clara, CA, United States
Excellent Python and C/C++ programming knowledge
Strong knowledge of deep learning fundamentals and techniques.
Knowledge of CPU and/or GPU architecture
Prior experience with large scale AI training and understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc)
Experience with cloud computing (e.g. end-to-end pipelines for AI training and inference on CSP (AWS/Azure/GCP))
Relevant working experience with Docker and Kubernetes is a big plus.
Communications Manager, Ai Jobs
By 24 Seven Talent At San Francisco Bay Area, United States
- 5-8+ years of communications experience
- Excellent strategic, analytical, and verbal communication skills
- Strong crisis communicaitons skills, a true problem solver
- Develops global communications initiatives aimed at building trust in our recommendations algorithm.
- Continually identify fresh ways to educate external audiences about our AI technologies and products.
- Train and advise spokespeople in preparation for media interviews, presentations, and other speaking engagements.
Senior Data Scientist (Generative Ai)
By FraxCorp 🚀 At Palo Alto, CA, United States
Prior experience working with open-ended, user-generated content is highly beneficial
At least 5 years of experience at prominent chat, social media, or user-generated content product companies
Strong expertise in consumer products
Ability to intuitively identify the most relevant questions and swiftly derive key insights
Proficiency in translating findings into actionable next steps and collaborating with engineering teams for implementation
Thrives in a fast-paced environment and embraces rapid experimentation
Generative Ai (Chatgpt, Hustlegpt, Autogpt) Expert And Mentor
By Fud, Inc. At San Jose, CA, United States
You are aware of the trends in future of work, personal finance, and entrepreneurship
Ability to work independently and manage your time effectively
Content Creator — YouTube, TikTok, or Instagram
Reselling and Thrifting — including eBay, Etsy, Mercari, Poshmark, and others
E-Commerce — including Amazon, Shopify, and your own online store
Gig Economy — like DoorDash, Uber, or Lyft
Chief Ai Driver Jobs
By plasmos.vc At Palo Alto, CA, United States
A PhD in AI wizardry or equivalent mischief-making experience.
Train AI models to channel their inner Sherlock Holmes and spot exceptional startups.
Collaborate with mischievous AI tools to make investors laugh at their own redundancy.
Proficient in making computers giggle and investors tremble.
Exceptional ability to differentiate between a disruptive genius and a cunning charlatan.
Unlimited supply of nerf guns for office skirmishes.
Technical Program Manager, Generative Ai Personalization
By Snap Inc. At Los Angeles, CA, United States
Continue to evolve the program as new requirements and technologies come online.
Strong ability to partner with multiple cross-functional teams to define technical strategy and requirements and drive projects to execution.
Outstanding written and verbal communication skills and ability to translate difficult / ambiguous concepts to different teams and types of people.
Bachelor’s Degree in Information Systems or related field or equivalent experience.
Proven experience working with global teams distributed across multiple time zones, countries and cultures in a sophisticated technology environment.
Experience delivering Personalization initiatives, particularly with some overlap with Machine Learning.