Machine Learning Engineer

Join our innovative team at Airbnb as a Machine Learning Engineer specializing in Community Support Engineering. In this role, you will leverage cutting-edge machine learning techniques to enhance user experience and streamline support processes. Your contributions will directly impact our global community, helping to improve the quality of support provided to our users.

Airbnb was established in 2007 when two hosts welcomed three guests into their San Francisco home. Since then, it has expanded to over 5 million hosts who have received more than 2 billion guests across nearly every country worldwide. Each day, hosts provide unique accommodations and experiences, allowing guests to connect with communities in a meaningful and authentic manner.The Community You Will Join:Community Support (CS) plays a pivotal role in driving Airbnb's core business. Our Community Support Engineering team is tasked with developing state-of-the-art technology, architecture, and solutions that empower CS at Airbnb. The innovations we create enhance the experiences of guests, hosts, CS agents, and operations teams globally.Aligned with our CS Product vision, we are harnessing the power of AI to revolutionize our customer service delivery, merging sophisticated ML/LLM capabilities with the expertise of our Support Ambassadors to provide a seamless, high-quality support experience.The Impact You Will Have:As the ML Manager for Community Support Product Engineering in China, you will lead a talented team of machine learning engineers. Your focus will be on researching, designing, and optimizing AI models and services that scale our AI-driven products and significantly enhance the Community Support experience for guests, hosts, and support ambassadors.Your Responsibilities Will Include:Recruit, mentor, and develop a dynamic team of skilled machine learning engineers, promoting their technical and professional growth.Take proactive initiatives to achieve results that extend beyond the team's scope.Build strong relationships and ensure alignment with stakeholders within Community Support and across external teams.Effectively communicate complex concepts and decisions to various stakeholders across different functions.Provide essential guidance and input for prioritizing multiple significant projects.Collaborate closely with platform, backend, and frontend engineers to facilitate rapid development cycles without compromising quality, developing robust ML models and systems that enhance community support initiatives. Conduct comprehensive design and architecture reviews to continually elevate our standards of technical excellence.

Founded in 2007, Airbnb has evolved from a simple idea of offering a place to stay into a global community of over 5 million hosts welcoming more than 2 billion guests to unique experiences across the world. We are committed to fostering authentic connections and memorable experiences for our guests while empowering hosts to share their spaces and stories.The Community You Will Join:At Airbnb, Machine Learning and Artificial Intelligence are integral to our product offerings. From enhancing Trust and Payments to optimizing Customer Service and Marketing, we harness the power of ML to elevate the experiences of both guests and hosts.The Community Support Products (CSP) Machine Learning team spearheads the CSxAI (Customer Support x Artificial Intelligence) initiatives. Our mission is to leverage Generative AI technologies to create an intelligent, scalable, and exceptional service experience. The team is responsible for developing and refining AI models, ML services, and tools, including LLM fine-tuning, optimization, RAG/Search, and automation of LLM evaluation and testing, as well as feedback-based learning and guardrails for a spectrum of applications within Airbnb.With Airbnb's rich data, complex marketplace, and diverse product offerings, we are committed to pushing the boundaries of AI practice. We invest in long-term innovation to tackle intricate challenges, and we are looking for top-tier ML and AI experts to join our team. The Difference You Will Make:We believe that our current customer experiences are just the tip of the iceberg regarding potential innovations. Science is key to delivering transformative change for our Guests and Hosts at Airbnb.Your role will involve using cutting-edge AI technologies to revolutionize our customer service, creating personalized, user-friendly, and proactive service experiences.Many initiatives you will be working on are in their conceptual stages, providing you with the opportunity to cultivate ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Envision, advocate for, and support the development of innovative ML systems, product integrations, and performance optimizations to address real-world challenges.Collaborate cross-functionally with product, design, and engineering teams to craft solutions that enhance our services.

Join our innovative team at Qima as an AI Machine Learning Engineer in the vibrant city of Shenzhen. You will play a crucial role in developing advanced machine learning models and algorithms that drive our products and services. Your expertise will help us harness the power of AI to improve our operations and deliver superior results for our clients.

About the RoleA1 is at the forefront of developing an advanced AI system designed to comprehend context across conversations, formulate strategic actions, and maintain continuity over time.Your role will involve transforming innovative research into operational, production-grade machine learning systems. You will lead the execution layer of A1’s intelligence, overseeing training pipelines, inference systems, evaluation tools, and deployment processes.What You'll Be Responsible ForDevelop and manage comprehensive ML pipelines that encompass data management, training, evaluation, inference, and deployment.Optimize and refine models utilizing cutting-edge methodologies such as LoRA, QLoRA, SFT, DPO, and model distillation.Design and maintain scalable inference systems, ensuring a balance between latency, cost-effectiveness, and reliability.Create and manage data systems to ensure access to high-quality synthetic and real-world training data.Establish evaluation pipelines that assess performance, robustness, safety, and bias, collaborating closely with research leadership.Oversee production deployment, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.Engage closely with application engineering teams to seamlessly integrate ML systems into backend, mobile, and desktop applications.Make informed trade-offs and rapidly implement improvements based on real-world usage.Operate under real production constraints including latency, cost, reliability, and safety considerations.Technical ExpertiseProficient in PythonExperience with PyTorch and JAXFamiliarity with GPU-based training and inference systemsPreferred QualificationsYou have successfully built or deployed machine learning systems that deliver real value to users.You possess a strong understanding of large models and their potential failure modes.Your coding skills are robust, with a focus on production-grade quality and system integrity.Self-motivated and pragmatic, you take full ownership of your contributions and outcomes.You communicate effectively and excel in collaborative, high-trust team environments.Our Working EnvironmentOur organization is structured to foster innovation and collaboration among talented individuals, committed to pushing the boundaries of AI technology.

About the RoleAt bjakcareer, we are pioneering an advanced AI system designed to comprehend context in conversations, orchestrate actions, and ensure continuous progress over time.As a Principal Machine Learning Engineer, you will play a pivotal role in transforming research initiatives into robust, production-ready machine learning systems. This position encompasses the execution layer of our AI intelligence, focusing on training pipelines, inference systems, evaluation tools, and deployment processes.Key ResponsibilitiesDevelop and manage comprehensive ML pipelines covering data processing, training, evaluation, inference, and deployment.Refine and customize models utilizing cutting-edge techniques such as LoRA, QLoRA, SFT, DPO, and distillation.Design and operate scalable inference systems, optimizing for latency, cost, and reliability.Create and sustain data systems that ensure high-quality synthetic and real-world training datasets.Implement evaluation pipelines that assess performance, robustness, safety, and bias in collaboration with research leadership.Oversee production deployment, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.Work closely with application engineering teams to seamlessly integrate ML systems into backend, mobile, and desktop applications.Make pragmatic decisions to enhance systems rapidly, leveraging insights from real-world usage.Operate effectively under real production pressures: latency, cost, reliability, and safety.

Join our dynamic team at Aarki Inc. as a Machine Learning Engineer. In this role, you will be at the forefront of developing innovative machine learning models and solutions that drive our business forward. You will work closely with data scientists and software engineers to design and implement cutting-edge algorithms that enhance our data processing and analytical capabilities.

About Atria Atria is an AI-driven platform focused on streamlining ad creative workflows. Marketing teams use Atria to create effective advertisements more efficiently, helping drive higher revenue. Trusted by brands like Ryze Superfoods, Solawave, and Loop Earplugs, as well as agencies such as Power Digital, Inspire Digital, and Disruptive Digital, Atria is committed to optimizing performance on Meta and TikTok channels. Role Overview: Senior Machine Learning / Deep Learning Engineer Location: China This role covers the full machine learning lifecycle. Responsibilities include defining problems, building data pipelines, training and evaluating models, and deploying them to production. The focus is on delivering reliable systems that move key performance metrics, not just building models. What You Will Do Translate product challenges into machine learning solutions with clear, measurable outcomes. Build and maintain data pipelines and features, ensuring data quality throughout. Train, evaluate, and improve deep learning and machine learning models. Deploy models to production (APIs or batch jobs), monitor their performance, and drive ongoing improvements. Collaborate closely with product, design, and engineering teams to accelerate delivery and impact. Desired Qualifications Strong engineering skills in Python, including software design, testing, code review, and performance tuning. Solid grasp of machine learning fundamentals (supervised and unsupervised), deep learning, and model evaluation techniques. Experience with MLOps tools such as experiment tracking, CI/CD, containers, and cloud services. Comfortable working with major cloud platforms (AWS, GCP, or Azure). Basic English proficiency for reading, writing, and discussing technical documentation. Preferred Qualifications Product sense: able to define MVPs, balance speed and accuracy, and set success metrics. Hands-on experience with large language models (LLMs), including prompting, retrieval, fine-tuning, distillation, or inference optimization. Background in advertising technology, such as ad ranking, creative optimization, attribution, or bidding systems. What Atria Offers Fully remote work and flexible scheduling. Chance to work with advanced technologies in a growing company. Supportive, inclusive, and collaborative culture. Competitive salary and benefits package.

Join Coupang as a Senior Staff Machine Learning Engineer focusing on Large Language Models (LLM).We are dedicated to delighting our customers with a seamless shopping experience. Our commitment is evident when our customers express, “How did we ever live without Coupang?” Our company, driven by a passion for innovation, is transforming the multi-billion-dollar commerce landscape, solidifying our reputation as a dependable leader in South Korean eCommerce.At Coupang, we merge the agility of a startup with the resources of a large global corporation. This unique environment fosters our rapid growth, enabling us to continuously launch new services with the same speed since our inception. Our entrepreneurial spirit thrives on the opportunity to initiate groundbreaking ideas and innovations. Being part of Coupang means witnessing the growth of yourself, your colleagues, your team, and the entire company every day.Our vision to define the future of commerce is tangible. We challenge conventional boundaries to overcome obstacles and redefine traditional trade-offs. By joining Coupang, you will play an essential role in crafting extraordinary experiences in a continuously evolving, high-tech, and hyper-connected world.In this role, you will be part of the AI and Knowledge Engineering team, tasked with delivering the most effective technical solutions to enhance customer experiences. We advance fields such as Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multimodal models. We seek engineers passionate about pioneering technology at the intersection of semantic knowledge bases, agents, NLP, LLM, ML, and software engineering. Join us in building a world-class team that propels advancements in AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

About the RoleA1 is developing an innovative AI system designed to enhance productivity by seamlessly managing workflows across conversations, tools, and time.As a Senior Machine Learning Engineer, you will play a pivotal role in owning and advancing critical ML systems currently in production. This position is tailored for engineers capable of independently navigating complex ML challenges from conception to deployment while making informed trade-offs throughout the process.Key ResponsibilitiesDesign and implement essential ML systems that drive a forward-thinking, long-term AI product.Take full ownership of projects: from data preparation and training to evaluation, inference, and iterative improvements.Transform research concepts into operational systems that perform reliably in a production environment.Troubleshoot model failures and system issues using actual production data.Adopt a rapid iteration cycle: deploy, measure results, refine, and repeat.Collaborate closely with research, product, and engineering teams to generate substantial user impact.Provide mentorship and guidance to fellow ML engineers through exemplary practices and technical insights.Operate within real-world production constraints including latency, cost, reliability, and safety considerations.Technology StackPythonPyTorch / JAXGPU-based training and inference systemsDesired QualificationsProven experience in building and deploying ML systems utilized by end users.In-depth understanding of modern ML model behavior and potential pitfalls in production settings.Ability to write robust, production-quality code with a systems-oriented mindset.Demonstrated ownership and the ability to work autonomously to drive projects to completion.Quick learner with excellent communication skills and a focus on continuous improvement through iteration.Work EnvironmentOur organization is structured with a flat hierarchy, fostering a small, dedicated team focused on engineering and product excellence. Every team member is expected to actively contribute to the company’s vision.Interview ProcessShould your qualifications align with our needs, we will arrange a series of 3 to 4 interviews.

Join Canva as a Machine Learning Engineer and be a part of our innovative team that is transforming the way users create content. In this role, you will leverage advanced machine learning techniques to develop solutions that enhance user experiences and streamline processes. If you're passionate about technology and eager to make an impact in a fast-paced, collaborative environment, we want to hear from you!

Role overview Canva is looking for a Machine Learning Engineer specializing in Training Optimization to join the team in Beijing. This role centers on improving the performance and efficiency of machine learning models that support Canva’s products. What you will do Work with teams across disciplines to refine and optimize model training workflows Design and implement algorithms that improve training speed and model accuracy Apply technical knowledge to help Canva deliver better user experiences through smarter, faster models Impact Your work will help Canva make design accessible and enjoyable for users worldwide by strengthening the core technology behind the platform.

Join Airbnb as an Engineering Manager leading the Community Support Engineering team focused on Routing and Data. In this role, you will oversee a talented group of engineers dedicated to enhancing user experiences through innovative data solutions and routing algorithms.As a key player in our mission, you will drive technical excellence, foster collaboration, and implement strategic initiatives that empower our community support operations. Your leadership will be essential in developing scalable systems that enhance customer satisfaction and support our global community.

Join Coupang as a Senior Staff Machine Learning Engineer specializing in LLM. We are dedicated to providing our customers with extraordinary experiences, and your expertise in cutting-edge AI technologies will be pivotal in achieving this mission.Coupang is at the forefront of revolutionizing the commerce industry in South Korea, driven by a commitment to making shopping, eating, and living simpler and more enjoyable for everyone. Our unique blend of startup agility and the resources of a global public company empowers us to continuously innovate and grow.Our AI and Knowledge Engineering team is on a mission to enhance customer experiences through advanced technical solutions. We seek talented engineers eager to work with the latest technologies spanning Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. Join us to build a world-class team and advance AI technologies that will shape the future of commerce.

Join Canva as a Senior Machine Learning Engineer specializing in AI Effects and Editing. In this pivotal role, you will leverage your extensive experience in machine learning to enhance our platform's capabilities, developing innovative solutions that redefine visual communication. You will work closely with cross-functional teams to understand user needs and translate them into actionable projects that impact millions of users globally.

About UsAt Meshy, we envision a world where 3D creation knows no limits and is accessible to everyone. Our mission is clear: to unleash creativity. We have developed a comprehensive 3D content pipeline that encompasses everything from text/image conversion to 3D modeling, texturing, texture editing, and animation rigging. Our thriving community allows creators to showcase their work, draw inspiration from others, and utilize it as a marketplace for their games and prototypes. As a leader in 3D generative AI, we have been recognized as the most popular choice among 3D AI tools (as per the 2024 A16Z Games survey). Our technology delivers tangible value to enterprises such as Meta, Square Enix, and Deepmind, as well as millions of end-users. Meshy is employed in diverse fields including game and film production, 3D printing, industrial product design, and training simulations for robotics and physical AI.Position OverviewWe are seeking a talented Machine Learning Engineer specializing in High-Performance Computing (HPC) to design, implement, and optimize GPU computing kernels that enhance model training and inference for our cutting-edge 3D generative AI models.

About the RoleJoin bjakcareer as we innovate a cutting-edge AI system that comprehends context throughout conversations, orchestrates actions, and advances tasks over time.In this pivotal role, you will transform research insights into robust, production-ready machine learning systems. You will oversee the execution layer of our AI's intelligence, encompassing training pipelines, inference systems, evaluation tools, and deployment strategies.What You'll DoDevelop and manage comprehensive ML pipelines, integrating data collection, training, evaluation, inference, and deployment.Optimize and tailor models utilizing advanced techniques including LoRA, QLoRA, SFT, DPO, and model distillation.Design and maintain scalable inference systems, ensuring a balance between latency, cost, and reliability.Create and sustain data systems that yield high-quality synthetic and real-world training data.Establish evaluation pipelines that assess performance, robustness, safety, and bias, collaborating with research leadership.Lead production deployment efforts, focusing on GPU optimization, memory efficiency, latency reduction, and scaling policies.Work closely with application engineers to seamlessly integrate ML systems into backend, mobile, and desktop products.Make informed trade-offs and expedite improvements based on real-world usage.Navigate real production constraints including latency, cost, reliability, and safety considerations.Tech StackProficient in PythonExperience with PyTorch or JAXFamiliarity with GPU-based training and inference systemsIdeal ExperienceDemonstrated experience building or deploying real ML systems that users engage with, beyond demos.Comfortable managing large models and understanding their limitations.Strong ability to write production-grade code with a focus on system reliability.Self-motivated, pragmatic, and accountable for results.Excellent communication skills and ability to collaborate effectively in small, high-trust teams.How We WorkOur organization fosters a culture of innovation and collaboration, where every team member is encouraged to contribute their unique perspectives and expertise.

About UsAt Metaprise, we are pioneering the development of the world’s first Financial Operating System. Our innovative platform, powered by AI agents, seamlessly integrates Accounts Receivable, Accounts Payable, Contract Management, SmartFlow Automation, and Cash Management into a singular, intelligent hub. We empower enterprises to bridge operational gaps among financial tools, granting them comprehensive control over both data and cash flow. With robust backing from real customers in the US and a strong trajectory for global expansion, we are rapidly scaling and seeking proactive builders who excel in dynamic, high-growth environments.

About the RoleA1 is developing an advanced AI system capable of understanding contextual nuances throughout conversations, planning actionable steps, and maintaining ongoing tasks over time.In this role, you will engage with foundational machine learning systems under the mentorship of experienced engineers. This position is ideal for innovators eager to enhance their skills by deploying authentic machine learning solutions in a live environment.Key ResponsibilitiesDesign and enhance machine learning components throughout data handling, training, evaluation, and inference.Optimize and adapt models as integral parts of comprehensive production systems.Conduct evaluations and tests to gain insights into model functionality.Assist in the construction and upkeep of data pipelines for both real and synthetic datasets.Troubleshoot model discrepancies, performance issues, and production challenges.Implement iterative improvements and learn from user feedback.Collaborate closely with senior ML engineers and product teams.Operate within real-world production constraints such as latency, cost, reliability, and safety.Technical Skills RequiredProficient in Python.Experience with PyTorch or JAX.Familiarity with production-grade ML systems utilizing GPU technology.Preferred QualificationsSolid understanding of machine learning principles and contemporary neural network architectures.Some practical experience in training, fine-tuning, or deploying ML models.Ability to write high-quality production code and swiftly adopt new tools.A curious mindset with a willingness to learn from real-world production systems.Capable of navigating ambiguity with guidance and gradually taking on greater responsibility.A proactive approach to shipping, iterating, and continuous refinement.Our Work CultureWe maintain a flat organizational structure where our compact team is highly motivated and dedicated to engineering and product excellence. All team members are encouraged to be hands-on and directly contribute to the overarching mission of the company.Interview ProcessShould your profile align with our needs, we will reach out to arrange between 3 to 4 interviews.