- Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.
- Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.
- Participate in periodic on-call rotations and be available for critical issues.
- Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
- Participate in meal conversations with your team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?
- 2+ years of industry experience of ML engineering in building AI system and/or services.
- Experience with LLMs and prompt engineering
- Strong experience building and applying machine learning models for business applications
- Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch
- Proven ability to implement, operate, and deliver results via innovation at large scale
- Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.
- Good working knowledge of Deep Learning and Machine Learning algorithms. In the very least, you have a strong interest in this domain, as exemplified by coursework you've taken and personal projects you developed.
- Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.
- Experience in developing deep learning models with complex business use cases and big amount of unstructured data.
- Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP.
- Expertise with applying LLMs, prompt design, and fine-tuning methods
- Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
- Experience with conversational AI
- Fantastic problem solver; ability to solve problems that the world has not solved before
- Excellent written and spoken communication skills
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
-
Machine Learning Engineer
20 hours ago
Acceler8 Talent San Francisco, United StatesSenior ML Engineer Position – San Francisco (Hybrid/Flexible) · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct datas ...
-
Machine Learning Engineer
1 week ago
Perplexity AI San Francisco, United StatesPerplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for eng ...
-
Machine Learning Engineer
6 days ago
Swish Analytics San Francisco, United StatesCompany Overview · Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuiti ...
-
Machine Learning Engineer
1 week ago
EMA San Francisco, United StatesWho we are · Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Co ...
-
Machine Learning Engineer
1 week ago
Square San Francisco, United StatesCompany Description · Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is bui ...
-
Deep Learning Engineer
2 weeks ago
Dnnae San Francisco, United StatesWe are looking for a Deep Learning-Speech Engineer who will partner with both the business and technical teams to innovate and deliver new AI features and enhancements (particularly focused around audio) for our product. You will create and/or modify complex solutions that meet t ...
-
Machine Learning Engineer
1 week ago
Waabi San Francisco, United StatesWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promis ...
-
Machine Learning Engineer
1 week ago
Central Business Solutions San Francisco, United StatesPosition Role/Tile: Machine Learning Engineer · Location: San Francisco, CA. · Qualification · We Are Looking For Engineers With · 5+ years of industry experience or a PhD + 2 years industry experience in applied machine learning. · Strong coding skills in Python/Java/Scala ...
-
Machine Learning Engineer
4 days ago
X (formerly Twitter) San Francisco, United StatesAre you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is t ...
-
Machine Learning Engineer
1 week ago
Health San Francisco, United StatesHealth at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading m ...
-
Machine Learning Engineer
1 week ago
Skale San Francisco, United StatesAn exciting, VC-backed startup is looking for an ML Research Engineer in San Francisco. This role is onsite daily in the financial district. · You'll work with the founding team and design, train and productionize a range of ML models. The product is an AI platform aimed at inst ...
-
Machine Learning Engineer
2 weeks ago
Text Blaze San Francisco, CA, United States[Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs · Machine Learning Engineer - Large Language Models · Text Blaze United States · Date Posted · 28 Apr, 2023 · Work Location · San Francisco, United States · Salary ...
-
Machine Learning Engineer
2 weeks ago
Equilibrium Energy San Francisco, United StatesAbout Our Company · Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, ec ...
-
Machine Learning Engineer
1 week ago
EMA San Francisco, United StatesWho we are · Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Co ...
-
Machine Learning Engineer
4 days ago
FLYR Labs San Francisco, United StatesOur Vision · FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. · FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced ...
-
Machine Learning Engineer
2 weeks ago
Soteris San Francisco, United States[Full Time] Machine Learning Engineer at Soteris (United States) | BEAMSTART Jobs · Machine Learning Engineer · Soteris United States · Date Posted · 06 Dec, 2022 · Work Location · San Francisco, United States · Salary Offered · $150000 — $210000 yearly · Job Type · Full Time · ...
-
Machine Learning Engineer
2 weeks ago
Hyper Online San Francisco, CA, United States[Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs · Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) · Hyper Online United States · Date Posted · 02 Aug, 2023 ...
-
Machine learning engineer
4 days ago
Ntropy Network Inc San Francisco, United StatesJoin us in making Large Language Models (LLMs) viable for real-world, high throughput, tasks, starting with finance. While significantly more efficient than humans, the cost and latency of LLMs is still prohibitive for most applications. At Ntropy, our mission is to make LLMs via ...
-
Machine Learning Engineer
2 weeks ago
Cascading AI San Francisco, CA, United StatesCasca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding. · What you'll do: ...
-
Machine Learning Engineer
2 days ago
Perplexity AI San Francisco, United StatesJob Description · Job DescriptionPerplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of thi ...
Machine Learning Engineer - San Francisco, CA, United States - Salesforce
Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category
Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place. Salesforce is looking for Machine Learning Engineers to build generative AI services, pipelines and components to enable the development and delivery of Einstein GPT vision. You will work on and ship impactful generative AI platform, applications and products used by millions of people every day. The Team We are a group of data scientists, machine learning engineers and software engineers that share a passion for designing data products, and building Generative AI services to help improve the way that generative product is delivered. We love to learn, teach and help each other, and we are looking for people with a collaborative attitude and openness to others' ideas. The Role You will play a critical role in incorporating artificial intelligence and generative AI into the Salesforce. You will participate in the end-to-end AI product development lifecycle. You will design and develop the scalable deep learning and generative AI system and services, and partner with AI Platform Engineers, Software Engineers to define requirements, design and develop reusable workflow and ML pipeline. What You'll Do