Senior AI Engineer - Generative Models
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Job Description
This role offers the chance to work on cutting-edge Generative AI and Machine Learning projects, driving impactful business outcomes through close collaboration with stakeholders across departments.
Mandatory Skills- Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or Data Science;
- 3 years of experience in a Data Science role, preferably within cloud environments;
- Ability to translate technical concepts into business use cases and obtain buy-in from stakeholders for AI/ML initiatives;
- Experience in designing for GenAI models, including metrics and human-in-a-loop evaluation;
- Proficiency in SQL, Python, and Spark, AWS technologies;
- Experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
- Deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
- Hands-on experience implementing MLOps practices on AWS as well as AWS Bedrock;
- Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;
- Excellent communication and interpersonal skills, and ability to work effectively with cross-functional teams.
- AWS certifications;
- Prior experience in financial services, telecommunications, or consulting industries.
- Own AI/ML use cases from ideation to production, ensuring continuous monitoring and enhancement;
- Serve as a Gen AI technical specialist, designing and implementing models to support advisor sales journeys and operational efficiency;
- Collaborate with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
- Translate business problems into technical requirements through proactive stakeholder engagement;
- Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
- Ensure all AI/ML solutions comply with data privacy laws and AI governance policies;
- Promote innovation and continuous improvement across AI/ML models and processes.
Deep Learning Algorithm Specialist
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We are seeking a talented and innovative individual to join our team as a Deep Learning Algorithm Specialist. In this role, you will have the opportunity to design and develop cutting-edge AI models that power TikTok's search engine.
You will be working on building a full-stack search engine system based on advanced AI and machine learning methods to provide a world-leading search experience. We value self-direction, intellectual curiosity, openness, and problem-solving, and we're looking for someone who shares these qualities.
Requirements
- Final year or recent graduate with a background in Computer Science or a related technical field.
- Proficient coding skills and strong algorithmic and data structure knowledge using C++/Python/Java.
- Solid knowledge of machine learning and practical experience in applying it.
Benefits
- Opportunity to work on real-world projects and make meaningful contributions to the company.
- Collaborative and dynamic work environment.
- Competitive compensation and benefits package.
- Access to cutting-edge technology and tools.
About Us
TikTok is a global community where creativity and joy come together. Our mission is to inspire people to express themselves authentically and connect with others. We're passionate about fostering an inclusive and diverse workplace culture that reflects the communities we serve.
Senior Deep Learning Engineer
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The ideal candidate will have a strong background in computer vision and deep learning to develop state-of-the-art construction activity monitoring solutions. This role requires versatility, and the successful candidate will have opportunities to contribute across various domains.
Required Skills and Qualifications
- A strong background in computer vision and deep learning.
- Developing state-of-the-art construction activity monitoring solutions.
Benefits
The successful candidate will have opportunities to contribute across various domains.
What We Offer
This role offers the opportunity to work on cutting-edge projects and contribute to the growth of the company.
Senior AI Search Engineer - Advanced Ranking Models
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About this Role
Job DescriptionWe are a team of talented individuals responsible for developing cutting-edge models for TikTok's search engine.
You will have the opportunity to build a full-stack search engine system based on advanced AI methods to provide a world-leading search engine. We foster a culture of self-direction, intellectual curiosity, openness, and problem-solving.
We are looking for skilled professionals to join us in 2025. As a graduate, you will receive unparalleled opportunities for career growth, pursuing bold ideas and exploring limitless possibilities. You will co-create a future driven by your inspiration with TikTok.
Main Responsibilities- Optimize searching algorithms to enhance TikTok's search user experience
- Combine product objectives with modern machine learning, AI, NLP/CV techniques to improve search ranking algorithms, including query understanding, video understanding, and result ranking
- Bachelor's degree or above in computer science or a related technical discipline
- Proficient coding skills and strong algorithm & data structure using C++/Python/Java
- Solid knowledge of machine learning and practical experience in applying it
- Effective communication and teamwork skills
- Modeling experience in one or more areas: Ads, Search Engine, Recommender System, NLP/CV
We offer an ideal environment for professional growth and development, where you can leverage your skills and expertise to drive innovation and excellence.
You will be part of a dynamic team that values creativity, collaboration, and open communication.
Join us and embark on an exciting journey of discovery and growth!
Deep Learning Supply Chain Optimization Specialist
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To drive innovation and growth in e-commerce, we are seeking a talented Algorithm Engineer Graduate to join our global team. You will play a pivotal role in developing and implementing cutting-edge deep learning and operations research models for the supply chain and logistics of our E-Commerce business.
About UsWe are the leading destination for short-form mobile video, striving to inspire creativity and bring joy to users worldwide. Our mission is to empower great people with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Key Responsibilities- Develop and optimize global logistic and warehousing networks to improve operations efficiency and reduce operational costs using data analysis, machine learning, and operation research methods.
- Create comprehensive supply chain data portraits and knowledge graphs in various dimensions such as vendors, commodity, place of origin, inventory, production capacity, and quality of fulfillment.
- Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and other logistics events to enhance the user logistics experience.
- Participate in the development of merchant and merchandise-related algorithm systems, including potential merchants mining, tiering, and outreach, seller growth diagnosis, and seller mission recommendation system.
Machine Learning Specialist (Deep/Reinforcement Learning)
Posted 4 days ago
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My client is a multi-strategies leading quantitative trading company, they are hiring a machine learning specialist (in reinforcement or deep learning) to empower their team.
Your key responsibilities will include:
- Designing and implementing machine learning algorithms and deep learning applications to solve complex business problems.
- Collaborating with data scientists, traders, researchers, and developers to optimize machine learning models into trading systems and strategies.
- Constructing optimized data pipelines to feed machine learning models and trading performance monitoring.
- Conducting research on the latest advancements in machine learning and exploring innovative techniques to enhance our systems.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Automation, or a related quantitative field.
- Prior experience in the financial industry is a bonus but not a must.
- Proficiency in programming languages such as Python, R, or Julia, and familiarity with machine learning libraries like TensorFlow, PyTorch, or other machine learning frameworks.
- Experience in computationally intensive research on very large data sets.
Deep Learning / AI Scientist - Liveness Detection and Biometrics
Posted 4 days ago
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Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.
Responsibilities:- Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.
- Design, train and deploy biometric models to correctly identify users.
- Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions.
- Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products.
- Collaborate with business, product, operations and engineering teams to deliver impact for our customers.
- Work independently or in a team to solve complex problem statements.
- An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.
- Deep understanding of modern computer vision techniques, deep learning and machine learning.
- Experience developing and deploying machine learning models in production.
- Experience with adversarial training to enhance model robustness.
- Proficient in Python, C++, Scala, or Java.
- Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet.
- Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
- Experience in on-device inference for machine learning models is a plus.
- Take pride in taking ownership and driving projects to have business impact.
- Thrive in a fast moving collaborative environment.
What are we trying to solve?
We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now. Every year, 140 million babies are born, of which 40 million go unregistered. Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.
At VIDA , we are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.
Why are we solving this problem?
The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.
Who are we?
We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.
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Deep Learning / AI Scientist - Liveness Detection and Biometrics
Posted 4 days ago
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Job Description
Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.
Responsibilities:
Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.
Design, train and deploy biometric models to correctly identify users
Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions
Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products
Collaborate with business, product, operations and engineering teams to deliver impact for our customers
Work independently or in a team to solve complex problem statements
Requirements:
An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.
Deep understanding of modern computer vision techniques, deep learning and machine learning
Experience developing and deploying machine learning models in production
Experience with adversarial training to enhance model robustness
Proficient in Python, C++, Scala, or Java
Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet
Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
Experience in on-device inference for machine learning models is a plus
Take pride in taking ownership and driving projects to have business impact
Thrive in a fast moving collaborative environment
What are we trying to solve?
We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.
Every year, 140 million babies are born, of which 40 million go unregistered.
Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.
At VIDA , We are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.
Why are we solving this problem?
The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.
Who are we?
We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.
#J-18808-Ljbffr
Deep Learning Engineer - Generative AI Image and Video Algorithm Development
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Explore a career as a Deep Learning Engineer specializing in Generative AI Image and Video Algorithm Development.
Job DescriptionWe seek an experienced researcher and developer to enhance image quality using advanced generative AI algorithms. The ideal candidate will have expertise in Stable Diffusion, GANs, ControlNet, LoRA, and model optimization.
- Develop and optimize generative AI algorithms for image quality enhancement, focusing on clarity, color consistency, and noise reduction;
- Research and develop advanced generative AI image quality algorithms to improve image clarity, realism, consistency, and visual harmony.
The successful candidate will be responsible for designing efficient generative AI models to address challenges related to image realism, consistency, and harmony.
Key Responsibilities:
- Design and develop advanced generative AI algorithms for image quality enhancement;
- Collaborate with software and hardware engineering teams to integrate algorithms efficiently;
- Participate in the full algorithm development lifecycle, from prototyping to product deployment.
To excel in this role, you should possess the following qualifications and skills:
- Master's or Ph.D. degree in Computer Vision, Image Processing, Large Models, or related fields;
- Proven experience in research and development of generative AI image generation algorithms;
- Familiarity with novel view synthesis, depth image generation, and image inpainting models;
- Proficiency in Python, with experience in PyTorch or other deep learning frameworks;
- Excellent teamwork, communication, and problem-solving skills.
This role offers opportunities for professional growth, collaboration with experienced engineers, and contributions to innovative projects.
As a member of our team, you will enjoy a dynamic work environment, opportunities for networking, and access to cutting-edge technologies.
Deep Learning Algorithm Graduate (TikTok Search Ranking) - 2026 Start (BS/MS)
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TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours
Responsibilities
Team Introduction
Our Search Ranking Team is responsible for building the relevance/retrieval/ranking AI models for TikTok's search business. Here you'll have the opportunity to build a full-stack search engine system based on advanced AI and machine learning methods to provide a world leading search engine. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Optimize the searching algorithms to improve TikTok's search user experience.
- Combine your understanding of product objectives and take full advantage of modern machine learning, AI, NLP/CV techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.
Qualifications
Minimum Qualifications:
- Final year or recent graduate with a background in Computer Science or a related technical field.
- Proficient coding skills and strong algorithm & data structure using C++/Python/Java.
- Have a solid knowledge of machine learning and practical experience in applying it.
Preferred Qualifications:
- Effective communication and teamwork skills.
- Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: you have any questions, please reach out to us at