Machine Learning Engineer in Washington

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.

What you'll do: • Create innovative monetization products that drive engagement and revenue. • Participate in the development of a large-scale Ads system. • Participate in the development and iteration of Ads algorithms by using Machine Learning •...

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed
...

About us

We’re on a mission to transform spoken communication for individuals, teams and organizations of any size. Meetings may be our most information-rich channel for work, but suffer from a lack of structure and documentation. At Supernormal, we’re solving this problem with focus, design and craft.

We’ve been working on this since 2019 and have customers like Snap, Salesforce, Replay, Gitcoin, Pinterest and thousands more on this journey with us. Today, we are growing rapidly and are excited for new teammates to join who are the best at what they do. We’re passionately building a team that is as diverse and creative as the millions of people we serve worldwide.

Supernormal is a remote-first company and does not require co-location. We have annual team retreats and gather quarterly. 

About the role

Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings including...

About us

We’re on a mission to transform spoken communication for individuals, teams and organizations of any size. Meetings may be our most information-rich channel for work, but suffer from a lack of structure and documentation. At Supernormal, we’re solving this problem with focus, design and craft.

We’ve been working on this since 2019 and have customers like Snap, Salesforce, Replay, Gitcoin, Pinterest and thousands more on this journey with us. Today, we are growing rapidly and are excited for new teammates to join who are the best at what they do. We’re passionately building a team that is as diverse and creative as the millions of people we serve worldwide.

Supernormal is a remote-first company and does not require co-location. We have annual team retreats and gather quarterly. 

About the role

Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings...

About the role

Join the mighty team at Supernormal bringing the future of work closer to the present. We're a rapidly growing platform solving a real need for thousands of people every day – automating meeting notes and tasks. As an engineer at Supernormal, you’ll play a major role in developing our product experiences and a workplace that people love. Together we’ll help people save time and meet more efficiently so our customers can focus on what matters – like sending satellites to space or running their local government.

Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings including transcription, note generation, and task automation.  The AI team builds reliable and secure services that use the most advanced AI models in the market to generate millions of high-quality meeting notes to a rapidly growing customer base. Our work revolves heavily around software engineering, too – we are...

Location: Usa/Usa/California/Sf Bay Area, Seattle

Sponsor Visa? Yes

Requirements

1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;

2. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

3. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;

4. Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. XXX is committed to creating an inclusive space where employees are valued...