TLM, Machine Learning, Integrity

About Our TeamAt OpenAI, our Applied team is dedicated to responsibly introducing cutting-edge technology to the world. We are the creators of innovative products like ChatGPT, Advanced Voice Mode, and Deep Research, all while ensuring scalable infrastructure and safe deployment practices. Our clients trust our APIs to revolutionize their offerings, and we are committed to fostering responsible usage and maintaining platform integrity.Within this team, the Integrity division plays a critical role in protecting our platform by proactively identifying misuse, preventing abuse, and ensuring user safety. We are looking for an experienced, hands-on Engineering Manager (Web Safety) to guide our strategic direction, develop advanced system protections, and lead a specialized team of seasoned Machine Learning Engineers (MLEs).Key ResponsibilitiesDesign and implement next-generation system protections, involving hands-on design, model training, and deployment strategies.Lead and mentor a small, senior team of Machine Learning Engineers, providing them with clear guidance and autonomy.Collaborate with Research, Safety, Product, and Policy teams to harness existing tools and propel cutting-edge advancements.Leverage state-of-the-art models for effective detection and prevention of problematic content.Establish robust evaluation frameworks and metrics to gauge progress and pinpoint areas for enhancement.Foster professional development within your team, ensuring high performance through mentorship and clear career paths.Ideal Candidate ProfilePossess extensive hands-on experience managing machine learning teams, preferably in web safety, content integrity, or related fields.Demonstrated success in training, fine-tuning, or distilling LLMs and traditional ML models to address real-world business challenges.Enjoy being technically involved—actively engaging in solution design, model training, and guiding deployment processes with your team.Excel at cross-team collaboration to integrate existing tools and thoughtfully develop new solutions.Exhibit strong emotional intelligence and empathy, effectively connecting with team members.Embrace ambiguity and fast-paced changes as opportunities to create clarity, structure, and impactful solutions.

Join Our Integrity TeamAt OpenAI, our Integrity team is committed to safeguarding our innovative technologies against various adversarial threats. As we advance our platforms, we prioritize their integrity and security.We are at the forefront of defending our systems against financial exploitation, large-scale attacks, and other forms of misuse that could compromise user experience and operational stability.Your Role as a Machine Learning EngineerAs a Machine Learning Engineer in OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your mission will be to deploy cutting-edge models in production environments, transforming research breakthroughs into practical solutions that enhance the safety and trustworthiness of our platform. If you’re passionate about fine-tuning LLMs and developing machine learning models, this position offers you a chance to make a significant impact.Key Responsibilities:Innovate and Deploy: Design and implement advanced machine learning models that address real-world challenges. Translate OpenAI’s research from ideation to execution, crafting AI-driven applications with a measurable impact.Collaborate with Experts: Partner closely with researchers, software engineers, and product managers to tackle complex business problems and deliver AI-enhanced solutions. Be part of an energetic team where creativity flourishes.Optimize and Scale: Create scalable data pipelines, enhance model performance and accuracy, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share insights, and lead by example to uphold high engineering standards.Make a Difference: Oversee and maintain deployed models to ensure they consistently deliver value. Your contributions will significantly influence the positive impact of AI on individuals, businesses, and society.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

Join Handshake as a Machine Learning Engineer I, where you will have the opportunity to work on cutting-edge machine learning projects that drive our innovative solutions. Collaborate with a talented team to develop algorithms and models that enhance our product offerings and improve user experiences.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.

Join Handshake as an Associate Machine Learning Engineer and embark on an exciting journey in the world of artificial intelligence and machine learning. In this role, you will collaborate with a talented team to develop innovative solutions that leverage cutting-edge technologies. You'll have the opportunity to contribute to real-world projects, enhancing your skills while driving impactful results.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Be Part of the Future of Autonomous RoboticsAt Bedrock Robotics, we are pioneering the transition of AI from theoretical frameworks to practical applications in the built environment. Our team is comprised of seasoned professionals who have been instrumental in the success of innovative companies such as Waymo, Segment, and Uber Freight. We are at the forefront of deploying autonomous technologies in heavy construction machinery, significantly enhancing the efficiency and safety of multi-billion dollar infrastructure projects across the nation.With backing from $350 million in funding, our mission is to address the urgent need for housing, data centers, and manufacturing facilities, while simultaneously responding to the construction industry's labor shortages.This position is where cutting-edge algorithms meet the practical world of construction. You will work alongside industry experts and top-tier engineers to tackle complex real-world challenges that cannot be simulated. If you are eager to leverage advanced technology for impactful problem-solving within a skilled team, we encourage you to apply.

About Hive Hive stands at the forefront of cloud-based AI solutions, revolutionizing the way organizations understand, search, and generate content. Trusted by some of the largest and most innovative companies globally, Hive empowers developers with a robust collection of pre-trained AI models that handle billions of API requests each month. Our turnkey software applications utilize proprietary AI models and datasets, enabling transformative use cases in various sectors, including content moderation, brand protection, and context-based ad targeting. As we continue to grow with over $120M in funding from esteemed investors such as General Catalyst and Bain & Company, we are excited to expand our global team of over 250 talented professionals across our San Francisco, Seattle, and Delhi offices. Join us in pioneering the future of AI!Position Overview: Senior Machine Learning EngineerTo propel our ambitious vision forward, we are seeking a dynamic Senior Machine Learning Engineer to join our elite team. This role is perfect for individuals eager to lead the charge in deep learning technology, where you will design, prototype, and deploy cutting-edge neural network models into production. We value candidates who thrive on solving complex challenges with terabyte-scale datasets, are enthusiastic about mastering new technologies across the machine learning spectrum, and take initiative in driving their projects to completion. The ideal candidate will possess a proven track record of developing a machine learning project from inception to deployment, contribute groundbreaking ideas and innovative implementations, and demonstrate the ability to architect scalable, maintainable data pipelines that optimize our AI solutions.

Charter:Join us as a pivotal member of a groundbreaking team dedicated to revolutionizing the field of toxicology by developing advanced AI systems that will replace traditional lab and animal experiments.What We Seek:We are on the lookout for exceptional individuals who can inspire those around them and drive the team towards greatness. Our ideal candidate is someone with high agency—able to identify priorities and take action. We value unique passions and hobbies that may seem niche but reveal a deep commitment and curiosity when explored. Candidates should approach challenges with both intentionality and a sense of wonder, embodying the spirit of exploration akin to an immigrant in a new land or a self-taught coder. A strong desire to learn and grow, coupled with technical excellence and a commitment to mastering one’s craft, is essential. We want those who are willing to tackle daunting challenges and derive satisfaction from the journey as much as the outcome.Your Responsibilities:Establish the foundational end-to-end ML/AI system, including wetlab data generation, data cleaning/processing, model architecture, training, inference, and deployment strategies.Lead innovative research and development initiatives focused on elucidating the interplay between chemistry and biology.Design and scale large models that are pretrained on paired chemistry and biological imagery.Conduct applied research aimed at optimizing, aggregating, and pooling embeddings.Become a thought leader in emerging and underexplored domains, such as molecular graph representations and generative diffusion for biological applications.Develop entrepreneurial skills alongside engineering expertise by creating impactful solutions that deliver substantial value for scientists.Deliver outstanding technology and products that redefine industry standards.Preferred Attributes:...

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

Join Hive as a Senior Machine Learning Engineer and help shape the future of AI! We are seeking passionate individuals who excel at developing and deploying cutting-edge deep learning models. In this role, you will work with large-scale datasets to create innovative machine learning solutions, collaborating closely with a talented team of engineers to push the boundaries of artificial intelligence. Ideal candidates will have a proven track record of building and scaling machine learning projects from conception to production, along with a strong commitment to continuous learning and personal ownership in their work.

Join our innovative team at Aarki Inc. as the Director of Machine Learning! In this pivotal role, you will lead our machine learning initiatives, driving the development of cutting-edge algorithms and models that enhance our data-driven solutions. You will collaborate with cross-functional teams to translate complex data into actionable insights, all while fostering a culture of learning and innovation.

Bland Inc. seeks a Machine Learning Researcher specializing in Multimodal Large Language Models (LLMs) to join the team in San Francisco. The focus is on advancing AI systems that integrate language with other types of data. Role overview This position centers on research and development aimed at improving how AI models process and understand information from multiple sources, such as text combined with images or other modalities. What you will do Investigate how language interacts with additional data types within multimodal LLMs Create and evaluate new methods to enhance AI model performance Work closely with colleagues on projects designed to push the boundaries of machine learning Location This role is based in San Francisco.

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.

Company Overview At Specter, we are pioneering a software-defined "control plane" designed to enhance the real-world perception of physical assets. Our mission begins with safeguarding American businesses by providing them with comprehensive insights into their physical environments.To achieve this, we are developing a robust hardware-software ecosystem leveraging multi-modal wireless mesh sensing technology. This innovation allows us to significantly reduce the cost and time involved in sensor deployment by a factor of ten. Ultimately, our platform aims to serve as the perception engine for businesses, facilitating real-time visibility and autonomous management of their operational perimeters.Our co-founders, Xerxes and Philip, are deeply committed to empowering our partners in the rapidly evolving landscape of physical AI and robotics. We are a dynamic, rapidly expanding team comprised of talent from Anduril, Tesla, Uber, and the U.S. Special Forces.Position Overview Specter is seeking a dedicated Machine Learning Infrastructure Engineer to construct and optimize the ML systems that drive real-time perception and inference capabilities across our edge-cloud platform. This position will involve overseeing the training, deployment, and enhancement of computer vision and sensor fusion models, aimed at enabling autonomous monitoring and decision-making for our clients' physical assets.Key Responsibilities Include:Design and implement scalable ML training pipelines for computer vision applications, including object detection, tracking, classification, and segmentation.Develop efficient model serving infrastructures to facilitate real-time inference on edge devices with limited computational and power resources.Optimize models for deployment on embedded hardware, employing techniques such as quantization, pruning, TensorRT, ONNX, and CoreML.Create continuous training and evaluation systems to enhance model performance through feedback loops derived from production data.Establish data pipelines for the ingestion, labeling, versioning, and management of extensive multi-modal sensor datasets, including video, radar, lidar, and thermal data.Implement model monitoring frameworks, A/B testing methodologies, and performance analytics for deployed perception systems.Collaborate with perception researchers to transition models from research environments to scalable production across thousands of edge nodes.Construct tools and infrastructure for distributed training, hyperparameter optimization, and experiment tracking.

Join Reducto as a Machine Learning Evaluation Engineer where you will play a critical role in assessing and enhancing machine learning models. You will collaborate closely with data scientists and engineers to ensure our systems are efficient and accurate, bringing innovative solutions to challenging problems in the machine learning space.

Saris AI, based in San Francisco with teams in Montreal and Toronto, develops advanced agentic AI systems for the banking industry. The company focuses on automating complex workflows that require long-context reasoning, integration with legacy systems, and strict compliance. With live AI agents already supporting real customer operations, Saris AI is expanding quickly and seeking technical leaders who want to shape the future of work in banking. Role overview This is a hands-on leadership position within the core engineering team in San Francisco. The Machine Learning Engineering Lead will guide machine learning systems from initial concept through scaling, helping define both the technical vision and the supporting infrastructure. What you will do Oversee the ML/AI function end to end, setting technical direction and standards across the company. Design and supervise development of multi-modal, agentic AI systems that power live customer workflows. Build and manage evaluation frameworks, datasets, and metrics to improve agent performance. Drive productionization of ML systems with an emphasis on reliability, scalability, and compliance. Recruit, develop, and mentor a high-performing ML team, fostering strong practices in modeling, experimentation, and deployment. Requirements 8+ years of experience in machine learning or AI engineering, including time as a technical lead or manager. Proven track record leading ML projects from concept to production deployment. Expertise with large language models (LLMs) and/or agentic systems, especially in customer-facing products. Strong grasp of ML fundamentals: deep learning, transformers, model evaluation, and trade-offs. Hands-on experience scaling ML systems in production, with a focus on monitoring, iteration, and reliability. Ability to lead engineering teams, influence architecture, and set technical direction. Comfort working in early-stage, ambiguous, and rapidly changing environments.

Hive is at the forefront of AI innovation, providing cloud-based solutions that enable organizations to understand, search, and generate content effectively. We are seeking a dynamic and experienced Machine Learning Manager to lead our talented team of engineers. In this role, you will foster a culture of growth, ensuring that each team member achieves their full potential while working with large-scale datasets. You will spearhead the development of groundbreaking machine learning models, encouraging experimentation and innovation. The ideal candidate will possess substantial experience in managing ML projects at scale, contribute creative ideas for model improvements, and mentor junior engineers to enhance their skills.

About Scribd:At Scribd Inc. (pronounced 'scribbed'), we're on a mission to ignite human curiosity. Join our innovative team as we craft a diverse world of stories and knowledge, democratizing the exchange of ideas and empowering collective intelligence through our four flagship products: Everand, Scribd, Slideshare, and Fable.This job posting is for an exciting, open position within our organization.We foster a culture where authenticity and boldness thrive, facilitating open debates and commitments as we embrace the unexpected. Every team member is empowered to take initiative, prioritizing the needs of our customers.In terms of workplace structure, we prioritize a balance between personal flexibility and communal connections. Our Scribd Flex initiative allows employees, in collaboration with their managers, to determine their daily work styles that best suit their individual needs while promoting intentional in-person interactions to enhance collaboration and company culture. Therefore, occasional in-person attendance is mandatory for all employees, regardless of their location.What do we seek in our new team members? We value 'GRIT'—the intersection of passion and perseverance toward long-term goals. At Scribd Inc., we believe in harnessing the potential that GRIT unlocks and encourage each employee to adopt a GRIT-driven approach to their work. This means we are looking for individuals who can set and achieve Goals, deliver Results in their responsibilities, contribute Innovative ideas, and positively impact the broader Team through collaboration and a positive attitude.About Our Machine Learning Team:Our Machine Learning team is pivotal in developing the platform and product applications that drive personalized discovery, recommendations, and generative AI functionalities across Scribd, Slideshare, and Everand. The ML team operates on the Orion ML Platform, providing essential ML infrastructure such as a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). Our Machine Learning Engineers collaborate closely with the Product team to integrate machine learning into user-facing features, including real-time personalization and AskAI LLM-powered experiences.