Machine Learning Engineer in California

About the Role:
We are looking for an experienced and innovative Tech Lead Machine Learning Engineer to join a leading global team focused on building technologies that drive business growth through branded advertising. In this role, you will work on a diverse range of ad products including reservation ads, auction ads, and content ads that help brands increase visibility and achieve business goals. You will have the opportunity to influence the entire ad delivery tech stack, including ad bidding, ranking, and forecasting, while collaborating closely with product and engineering teams in a fast-paced, global environment.

Key Responsibilities:

• Design and develop innovative monetization products that enhance user engagement and generate revenue.
• Lead the development of a large-scale Ads system, working with a world-class team of engineers.
• Contribute to the creation and refinement of Ads algorithms using...

About Pathway

Pathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data. In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.

This is an R&D position in attention-based models.

Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers). Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio. We have just raised a $10M+ seed, with exciting developments ahead. The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.

Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. We have a vibrant community centered around our developer frameworks,...

Are you passionate about merging quantum computing and artificial intelligence to solve problems that classical systems can’t? Do you excel at creating innovative machine learning algorithms designed for quantum systems, unlocking new possibilities in optimization, predictive modeling, and data analysis? If you’re ready to pioneer quantum-enhanced AI, our client has the perfect opportunity for you. We’re seeking a Quantum Machine Learning Engineer (aka The Quantum AI Trailblazer) to develop and implement cutting-edge quantum machine learning (QML) algorithms that redefine the future of AI.

As a Quantum Machine Learning Engineer at our client, you’ll collaborate with quantum physicists, AI researchers, and software developers to build hybrid quantum-classical systems that harness the power of quantum computing for advanced machine learning applications. Your expertise in quantum programming, machine learning, and optimization...

About the Role:
We are seeking a Senior Machine Learning Engineer to join a global leader in short-form mobile video and digital advertising. The Brand Ads team is integral to the company’s revenue generation, building sophisticated ad products and systems to drive engagement for brands and advertisers. You’ll be working with cutting-edge technologies like machine learning, NLP, and ranking algorithms, in a dynamic, collaborative environment.

What You'll Do:

• Develop and optimize forecasting models to improve ad spend efficiency.
• Design and implement machine learning algorithms for ad optimization, including ranking and personalization.
• Work...

About the Role:
We are looking for an experienced Tech Lead Machine Learning Engineer to join an innovative global leader in digital advertising. The Brand Ads team is responsible for some of the most advanced and scalable ad systems used by top global brands. This role offers the opportunity to lead the development of new monetization products, working on everything from ads ranking to forecasting and bidding algorithms.

What You'll Do:

• Lead the development of innovative ad products to drive user engagement and revenue.
• Oversee the development of large-scale ads systems, including ranking, forecasting, and bidding algorithms.
...

About the Role:
We are hiring a Senior Machine Learning Engineer to join a company that is reshaping the future of search and digital advertising. The Search Ads team focuses on building world-class search monetization systems for a globally leading digital platform. As part of the team, you will work on machine learning models for ads relevance, NLP for query understanding, and optimizing ad delivery at scale.

What You'll Do:

• Develop ads relevance models and ranking algorithms for search ads optimization.
• Implement NLP technologies for query understanding, including semantic matching and bidword optimization.
• Work on...

About the Role:
We are looking for a highly skilled and passionate Senior Machine Learning Engineer to join a dynamic team focused on transforming the future of Search Ads. As part of a globally recognized tech platform, you will have the opportunity to work on cutting-edge projects that drive the monetization strategy across multiple apps, including search engines, video platforms, and more. You will play a key role in optimizing ad relevance, improving ad formats, and contributing to the innovative features of the Search Ads ecosystem.

Key Responsibilities:

• Participate in the development and optimization of a large-scale Ads system.
• Work on relevance models and strategies, including semantic matching models, active learning, text/photo/video multi-modal ranking strategies, and more.
• Develop and iterate on Ads algorithms using machine learning techniques.
• Enhance Natural Language Processing (NLP)...

About the Role:
We are seeking a talented and motivated Senior Machine Learning Engineer to join a fast-growing global team. This role offers an exciting opportunity to build and optimize cutting-edge advertising technologies that drive business growth. The ideal candidate will have a strong background in machine learning, algorithm development, and system optimization, with a focus on improving advertising performance and efficiency.

Key Responsibilities:

• Develop forecasting models to optimize ad budget allocation for better return on investment.
• Design and create innovative monetization products that drive engagement and revenue growth.
• Contribute to the development of a large-scale, high-performance Ads system.
• Participate in the development and continuous improvement of Ads algorithms using machine learning techniques.
• Work on technologies related to Natural Language Processing (NLP) and...

*Company Overview**

We are a Tier 1 social media company，building the next generation of advertising technology that empowers brands to engage with their audience in new, innovative ways. Our Brand Ads team develops cutting-edge products that optimize ad spend, drive brand awareness, and foster meaningful consumer relationships. By combining advanced machine learning with immersive content experiences, we help brands grow and succeed in a rapidly evolving digital landscape. Join us and be part of a global team shaping the future of digital advertising!

*Job Description**

We are seeking a Senior Machine Learning Engineer to join our dynamic Brand Ads team. In this role, you’ll have the opportunity to shape the future of monetization on TikTok by developing cutting-edge machine learning models that drive brand awareness, engagement, and revenue. You will work on a variety...

Yalent is partnering with a leading AI start-up in the legal field to find a highly skilled Senior Machine Learning Engineer to join their engineering team. In this role, you’ll directly support our client’s mission by developing and deploying innovative machine learning models, tackling complex data challenges, and enhancing their AI capabilities. As a Senior ML Engineer, you’ll be essential to scaling our client’s technology and driving impactful solutions.

Job Responsibility

• Collaborate with stakeholders to identify and map business problems to ML solutions
• Design, develop, and implement ML models with a focus on NLP and generative AI applications
• Curate, clean, and prepare data for model development and training
• Create and maintain ETL jobs for data processing
• Conduct rapid prototyping of ML solutions to quickly iterate on ideas
• Stay current with the latest advancements in ML, particularly in NLP...

Are you passionate about applying machine learning to robotics to enable intelligent, autonomous behavior? Do you excel at building and optimizing algorithms that empower robots to learn, adapt, and perform complex tasks? If you’re ready to create the brains behind robotic systems, our client has the ideal role for you. We’re looking for a Machine Learning Engineer (Robotics) (aka The Intelligent Automation Specialist) to develop and implement machine learning models that advance the capabilities of robotic systems.

As a Machine Learning Engineer in Robotics at our client, you’ll collaborate with robotics, software, and data teams to design algorithms that enhance navigation, perception, and decision-making in real-world environments. Your work will be central in creating robots that learn from their environments, react to changing conditions, and continuously improve.

Key Responsibilities:

...

*Company Overview**

Join a leading global tech company focused on building a cutting-edge search ads platform. We're looking for a skilled Machine Learning Engineer to help optimize our ad relevance and ranking systems. If you're passionate about solving complex challenges and making a significant impact, this role is for you!

*Key Responsibilities**

• Build and optimize large-scale ad systems to drive ad performance.
• Develop relevance models using machine learning and NLP techniques.
• Enhance ad personalization with ranking algorithms and predictive modeling.
• Work on CTR/CVR models, data analysis, and feature engineering.
• Partner with cross-functional teams to align on product strategies.

*Qualifications & Skills**

• 5+ years of...

*Company Overview**

We are a Tier 1 social media company pushing the boundaries of search engine monetization across multiple apps.

*Job Description**

As part of our Search Ads team, you will have the rare opportunity to work on a large-scale, global search ads platform from the ground up, contributing to the development, optimization, and innovation of our ad systems. This role is for those who are passionate about solving complex technical challenges and scaling products in a rapidly evolving space.

*Key Responsibilities**

• Develop large-scale ad systems that handle billions of user interactions.
• Optimize relevance models and ranking strategies using advanced machine learning techniques, including semantic matching, multi-modal learning, and active learning.
...

The Search Ads team constantly pushes the boundaries of general search engine monetization across multiple apps within our ecosystem, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.

What You'll Do:

• Participate in the development of a large-scale Ads system
• Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc
• Participate in the development and iteration of...

About us

We’re on a mission to transform spoken communication for individuals, teams and organizations. Meetings are an information rich channel for productivity, but much is lost due to lack of structure and information flow. 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. We are growing rapidly and are excited for new teammates to join. We hire people who are the best at what they do. We are 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 gatherings several times a quarter.

About the role

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

Are you passionate about designing, building, and maintaining data pipelines that support robust data architectures and facilitate seamless data flow? Do you excel in creating scalable solutions that empower data-driven decision-making? If you’re ready to develop and optimize data systems that drive impactful analytics, our client has the perfect role for you. We’re seeking a Data Engineer (aka The Data Pipeline Architect) to build and manage cloud-based data infrastructures that support analytical needs and operational efficiencies.

As a Data Engineer at our client, you’ll collaborate with data scientists, analysts, and software engineers to construct data pipelines and storage solutions that are both efficient and secure. Your role will be critical in ensuring data systems are optimized for performance, reliability, and scalability.

Key Responsibilities:

1. Design and Implement...