Machine Learning Engineer in California

As a member of the Search Ads team, you'll tackle complex challenges in distributed systems, search relevance, ad targeting, and ROI maximization, helping shape the future of our global ad platforms. If you're passionate about working on high-performance systems and pushing the boundaries of NLP and search ads, this is the role for you!

What You'll Do:

• Develop and Optimize Ads Systems: Build, scale, and improve large-scale ad platforms and monetization systems.
• NLP & Search Relevance Models: Lead the development of advanced NLP models for query understanding, including semantic matching, text classification, Named Entity Recognition (NER), sequence-to-sequence (seq2seq) models, and knowledge graphs.
• Search Ranking & Ad Strategy Optimization: Focus on enhancing ad relevance through machine learning-driven ranking strategies and multi-modal approaches (text, photo, video).
• ...

We’re looking for an experienced engineer to help build innovative monetization products that drive both user engagement and revenue across our platforms. As part of our dynamic team, you'll play a key role in developing and optimizing large-scale ad systems, leveraging cutting-edge machine learning, natural language processing (NLP), and computer vision (CV) technologies to enhance content understanding, ad targeting, and taxonomy.

In this fast-paced, rapidly growing environment, your contributions will have a direct impact on the evolution of our ad products, helping shape the future of digital advertising with speed, precision, and quality.

What You'll Do:

• Build Monetization Products: Design and implement innovative ad products that drive revenue and enhance user engagement across platforms.
• Develop Large-Scale Ad Systems: Work on the architecture and development of high-performance, scalable ad systems that...

WerQ AI is at the forefront of leveraging AI to redefine the future of work for professionals and corporations, and we are seeking a visionary Vice President of Engineering for our Machine Learning & AI division. In this executive role, you will be responsible for leading the engineering teams that drive our AI and machine learning initiatives, ensuring that we remain competitive in a rapidly evolving market. You will define the strategic direction, oversee research and development, and foster a culture of innovation and collaboration. Your leadership will enable us to deliver cutting-edge AI solutions that enhance user experiences and optimize organizational performance. If you are passionate about AI and have a proven track record in engineering leadership, we would love to have you on board to help shape the future of our company.

Responsibilities

• Define the vision and strategic direction for machine learning and AI engineering at WerQ AI.
...

About Us: Join the Search Ads team, where we are redefining search engine monetization across our platforms, including TikTok, TopBuzz, BuzzVideo, and more. As part of a world-class team, you will tackle large-scale distributed storage and architecture challenges, as well as delve into Natural Language Processing (NLP), ranking, and information retrieval (IR) problems. We are seeking innovative and driven candidates to help us develop our Search Ads product from the ground up.

What You'll Do:

• Contribute to the development of a large-scale Ads system.

• Optimize relevance models and strategies, including:

• Semantic matching models

• Active learning

• Multi-modal (text/photo/video) integration

• Ranking strategies

• Participate in the iterative development of Ads algorithms using Machine Learning...

We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI & Threat Analytics team. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area!

Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations, globally. Keeper is published in 21 languages and is sold in over 120 countries. Join one of the fastest-growing cybersecurity companies and play a critical role in building Keeper's next-generation autofill and classification models in our browser extension.

About Keeper

Keeper Security is transforming cybersecurity for people and organizations around the world. Keeper’s affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device. Our award-winning, zero-trust, privileged access management...

Description

About TikTok
TikTok is the leading platform for short-form mobile videos, dedicated to inspiring creativity and bringing joy to over 1 billion users worldwide. With offices across the globe, including Singapore, we value humility, intelligence, compassion, and creativity in our team.

Why Join Us?
At TikTok, we embrace curiosity and aim for excellence. We encourage bold ideas and calculated risks, offering limitless opportunities for those ready to make an impact. Join us and help shape the future of online engagement!

About the Team
Our team focuses on developing large-scale product knowledge graphs to enhance the online shopping experience. We’re looking for skilled software engineers with expertise in Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL), and Machine Learning (ML).

Responsibilities:

• Develop and optimize algorithms...

Are you passionate about solving complex problems with cutting-edge machine learning techniques? Do you love transforming raw data into intelligent systems that can make predictions, automate processes, and provide deep insights? If you're excited about building scalable, high-performance machine learning models that drive business innovation, then our client has the perfect opportunity for you. We’re looking for a Machine Learning Engineer (aka The Model Innovator) to develop, deploy, and optimize machine learning models that transform how we leverage data for decision-making.

As a Machine Learning Engineer at our client, you will work alongside data scientists, software engineers, and product managers to build machine learning solutions that power intelligent applications and services. You’ll be responsible for creating scalable algorithms, refining model performance, and ensuring that our AI systems deliver high-quality...

Are you passionate about bringing the best of machine learning and DevOps together to create reliable, scalable, and efficient AI systems? Do you thrive on automating machine learning pipelines, deploying models at scale, and ensuring that AI solutions deliver value in production environments? If you’re excited about optimizing the entire machine learning lifecycle—from development to deployment and beyond—then our client has the perfect opportunity for you. We’re looking for an MLOps Engineer (aka The AI Infrastructure Maestro) to design, automate, and manage robust machine learning pipelines that power the next generation of AI-driven products.

As an MLOps Engineer at our client, you’ll be the glue that connects data scientists, machine learning engineers, and operations teams, ensuring that machine learning models are efficiently deployed, monitored, and maintained. You’ll lead efforts to create scalable infrastructure for...

Are you an AI enthusiast with a passion for applying cutting-edge machine learning techniques to solve real-world problems? Do you thrive in environments where you can build intelligent models that drive data-driven decisions and power innovative products? If you’re excited about using machine learning to develop and deploy scalable solutions that make an impact, then our client has the perfect role for you. We’re looking for a Machine Learning Engineer (aka The AI Innovator) to design, implement, and optimize machine learning models that unlock the potential of data.

As a Machine Learning Engineer at our client, you’ll work closely with cross-functional teams to develop intelligent algorithms, process large datasets, and deploy machine learning models that enhance product functionality. Whether it’s building recommendation engines, predictive models, or optimizing existing systems, you’ll be at the forefront of AI...

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally.

Responsibility

• Lead...

Career Renew is recruiting for one of its clients a Machine Learning Engineer - Web3 - this is a hybrid role in San Francisco, US - relocation accepted.

Mission

To secure the next generation of the web

For web3 to get into the hands of mainstream users, there cannot be exploits that steal millions of dollars in a single atomic transaction. The current exploit detection and response solutions are not sufficient to keep billions of dollars secure. We believe a combination of research-based and data-driven detection solutions and a novel response solution will leapfrog the industry forward in the battle against exploiters.

Responsibilities

• Hands on develop and productionize our security detection models to be the best in the industry
• Own data analysis, working closely with our security researcher and CTO to continuously develop and backtest across our suite of detection techniques
...

As a technology innovation leadership team in the fast-growing OPPO Research Center, We are looking for talented Machine Learning Engineers to join our Research and Development team. In this position, you will be playing a crucial role in refining our recommender system, search algorithms, and ad targeting algorithms. If you thrive on advancing machine learning technology, leveraging algorithms to address significant business challenges, and are eager to work in a fast-paced, innovative environment, this role is great for you.

Requirements

Key Responsibilities:

• Lead initiatives to improve and expand our machine learning algorithms, ensuring they can solve real business problems. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.
• Collaborate closely with a skilled team of business analyst, data scientists, and software engineers to ensure your solutions are...

Why Join Us

Our platform is built to help imaginations thrive. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. That's how we drive impact - for ourselves, our company, and the communities we serve.

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...

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 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...

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 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 globalized engineering and product teams in a high-impact and fast-paced environment.

What you'll do:

• Build forecasting models to allow advertisers to more efficiently spend ad budgets.

• Create innovative monetization products that drive engagement and revenue.

• Participate in the development of a large-scale Ads system....

Rebel Space is seeking a talented and experienced Machine Learning Engineer to join our growing technical team. 

About Rebel Space: 

At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity.  We believe that as space infrastructure expands, it will be increasingly difficult to secure and monitor these systems against critical failures or evolving cyber threats.  To address this, we are building software that empowers developers and operators to rigorously evaluate and secure their systems from conception through to operations.  We supercharge the way space infrastructure is tested, monitored, and secured, ensuring systems are safeguarded in an increasingly complex space environment.  Join us in building the space security infrastructure of the future. 

Our view is that the convergence of artificial intelligence, software, robotics, and...