Post Production Supervisor

About the Role nen-creative is hiring a Post Production Supervisor in San Francisco. This role oversees the entire post-production process, making sure every project aligns with the company’s standards for quality and creativity. What You Will Do Manage post-production workflows from start to finish Supervise editing teams and coordinate their work Work closely with directors and producers to realize project goals Monitor timelines and ensure projects stay on schedule What Matters Here Strong organizational skills to keep multiple projects moving Attention to detail and a commitment to quality Ability to collaborate across creative and technical teams

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We strive to build a future where everyone has access to the knowledge and tools essential for making AI work effectively for their unique objectives.Our team comprises scientists, engineers, and innovators who have contributed to some of the most widely adopted AI products, including ChatGPT and Character.ai, as well as notable open-weight models like Mistral and popular open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleThe Post-Training Researcher position is pivotal to our roadmap. It serves as a crucial connection between raw model intelligence and a system that is genuinely beneficial, safe, and collaborative for human users.This role uniquely combines fundamental research with practical engineering, as we do not differentiate between these functions internally. Candidates will be expected to produce high-performance code and analyze technical reports. This position is ideal for individuals who relish both deep theoretical inquiry and hands-on experimentation, aiming to influence the foundational aspects of AI learning.Note: This position is classified as an 'evergreen role', meaning we continuously accept applications in this research domain. Given the high volume of applications, an immediate match for your skills and experience may not always be available. However, we encourage you to apply; we regularly review submissions and reach out as new opportunities arise. You are welcome to apply again after gaining more experience, but we ask that you refrain from applying more than once every six months. Additionally, specific postings for singular roles may be available for distinct projects or team needs, in which case you are welcome to apply directly in conjunction with this evergreen role.What You’ll DoDevelop and Optimize Recipes: Refine post-training recipes, encompassing various datasets, training stages, and hyperparameters, while assessing their impact on multiple performance metrics.Iterate on Evaluations: Engage in a continuous process of defining evaluation metrics, optimizing them, and recognizing their limitations. You will be accountable for enhancing performance metrics and ensuring they are meaningful.Debug and Analyze: During the fine-tuning of training configurations, you may encounter results that appear inconsistent. You will be responsible for troubleshooting and cultivating a deeper understanding to apply to subsequent challenges.Scale and Investigate: Assess and expand the capabilities of our models while exploring potential improvements.

________This is a testing example!________IMPORTANT: This is a testing job for Lever's environment - please refrain from applying.Founded a decade ago, Lever aims to address the pivotal challenge of attracting and hiring exceptional talent. We are developing cutting-edge hiring software that renowned companies such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify trust to expand their teams. Our innovative approach to talent acquisition positions us as leaders in the industry, and we are eager to find the right individuals to join us on our journey of growth. We take immense pride in our achievements and are honored to be recognized as the top workplace in San Francisco and a leading employer in the USA. Our team, the 'Leveroos', is our greatest strength, and we are committed to nurturing a people-centric culture.

About the RoleIn the realm of machine learning, pretraining lays the foundation for a general model, while post-training refines that model, enhancing its utility, controllability, safety, and performance in real-world applications. As a Post-Training Research Scientist, you will transform large pretrained robot models into production-ready systems through methodologies such as fine-tuning, reinforcement learning, steering, human feedback, task specialization, evaluation, and on-robot validation at scale. This position offers a unique opportunity for individuals from diverse backgrounds to evolve into full-stack ML roboticists, adept at swiftly identifying challenges across machine learning and control domains. This is where innovative research converges with practical implementation.Your Responsibilities Include:Crafting fine-tuning and adaptation strategies tailored for specific robotic tasks and embodiments.Developing methodologies to enhance reliability, robustness, and controllability of robotic systems.Establishing evaluation frameworks to assess real-world robot performance beyond just offline metrics.Collaborating with ML infrastructure teams to optimize inference-time performance, including latency, stability, and memory usage.Utilizing advanced techniques such as imitation learning, reinforcement learning, distillation, synthetic data, and curriculum learning.Bridging the gap between model outputs and tangible outcomes in the physical world.You Might Excel in This Role If You:Possess experience in fine-tuning large models for downstream applications, including RLHF, imitation learning, reinforcement learning, distillation, and domain adaptation.Have a background in embodied AI, robotics, or real-world machine learning systems.Demonstrate a strong commitment to evaluation, benchmarking, and failure analysis.Are comfortable troubleshooting and debugging across the entire ML stack, from analyzing loss curves to understanding robot behavior.Enjoy rapid iteration and thrive on real-world feedback loops.Aspire to connect foundational models with practical deployment scenarios.About GeneralistAt Generalist, we are dedicated to realizing the vision of general-purpose robots. We envision a future where industries and homes benefit from collaborative interactions between humans and machines, enabling us to achieve more than ever before. Our focus is on building embodied foundation models, starting with dexterity, and advancing the frontiers of data, models, and hardware to empower robots to intelligently engage with their environments.

Role overview OpenAI is looking for a Researcher focused on Agentic Post-Training, based in San Francisco. This role centers on analyzing and improving how AI systems behave after their initial training. The goal is to broaden the capabilities of AI and refine how models respond in complex situations. What you will do Study and assess agentic behaviors in trained AI models Create new approaches to strengthen these behaviors after training Collaborate with a talented team on projects that shape the future of artificial intelligence research Collaboration and impact This position involves hands-on research with other specialists at OpenAI. The work directly supports the advancement of AI capabilities and helps define new benchmarks for agentic performance in artificial intelligence.

Join dust as a Founding Solutions Engineer in our Post-Sales team, where you will play a pivotal role in shaping our customer experience and driving product success. You will collaborate closely with clients to understand their needs, provide tailored solutions, and ensure the seamless integration of our innovative technology into their operations. As a key member of our team, you will leverage your technical expertise to deliver exceptional service and support, fostering lasting relationships with clients. Your insights will also contribute to product enhancement, helping us to continually refine our offerings based on real-world usage and feedback.

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We envision a future where everyone can harness the knowledge and tools necessary for AI to serve their unique needs and aspirations. Our team comprises scientists, engineers, and builders who have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, as well as open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleThe role of a Post-Training Researcher is pivotal to our strategic vision. This position serves as the essential link between raw model intelligence and a practical, safe, and collaborative system for human users.Our research in post-training data sits at the intersection of human insights and machine learning. By integrating human and synthetic data techniques alongside innovative methodologies, we capture the subtleties of human behavior to inform and guide our models. We investigate and model the mechanisms that derive value for individuals, enabling us to articulate, predict, and enhance human preferences, behaviors, and satisfaction. Our objective is to translate research concepts into actionable data through meticulously planned data labeling and collection initiatives, while also understanding the science behind high-quality data that effectively trains our models. Additionally, we develop and assess quantitative metrics to evaluate the success and impact of our data and training strategies.Beyond execution, we explore new paradigms for human-AI interaction and scalable oversight, experimenting with optimal ways for humans to supervise, guide, and collaborate with models. This interdisciplinary role merges research, data operations, and technical implementation, pushing the boundaries of aligned, human-centered AI systems.This position combines foundational research and practical engineering, as we do not differentiate between these roles internally. You will be expected to write high-performance code and comprehend technical reports. This role is perfect for individuals who thrive on deep theoretical exploration and hands-on experimentation, eager to shape the foundational aspects of AI learning.Note: This is an evergreen role that we maintain continuously to express interest in this research area. We receive a high volume of applications, and while there may not always be an immediate fit for your skills and experience, we encourage you to apply. We regularly review applications and reach out to candidates as new opportunities arise. You are welcome to reapply after gaining more experience, but please limit applications to once every six months. You may also notice postings for specific roles for targeted positions.

Join Us at Mintlify!At Mintlify, we're dedicated to empowering creators and innovators.Extensive Reach: Our documentation platform caters to over 100 million developers annually and supports more than 18,000 businesses, including industry leaders like Anthropic, Microsoft, PayPal, Spotify, and Coinbase.Small Team, Big Impact: With fewer than 50 team members and $22 million in funding, each new hire plays a crucial role in shaping our journey.A Culture of Growth: We prioritize rapid learning, resilience, and embracing individuality.As we've expanded in value, we're now looking to quickly align our growth with our headcount.Your Role and ResponsibilitiesManage High-Volume Migrations: Oversee 6+ migrations weekly for SMB and Mid-Market clients, acting as the technical leader from initiation to go-live (10-12 day cycles).Oversee Offshore Migration Team: Dedicate 60% of your time to coordinating with our overseas partners—assigning tasks, conducting quality checks, and ensuring deliverables align with Mintlify standards.Support Fast-Growing Accounts: Allocate 40% of your time to high-potential clients through dedicated Slack channels—providing technical assistance, prioritizing feature requests, and facilitating onboarding for expanded use cases.Technical Execution: Resolve migration issues, create custom scripts, and devise technical solutions when complexity demands direct engineering involvement.Client Communication: Maintain proactive communication throughout migrations (30% of your time), setting expectations, providing updates, and instilling confidence in the process.Collaborate with Engineering: Work alongside product and engineering teams (10% of your time) to prioritize and deliver essential features or fixes that enhance customer success at scale.Develop Customer Health Infrastructure: Partner with the Head of Post-Sales/CS to design and implement CRM tracking systems, customer health score models, and operational dashboards for the scaled segment.Analyze Product Metrics: Monitor adoption rates, feature usage, and migration metrics to drive continuous improvement.

Role overview Otter.ai is hiring a Technical Delivery Manager to join the Post-Sales team in San Francisco, CA. This position focuses on supporting enterprise customers after the sale. The role combines technical expertise with relationship management, working closely with Customer Success, Sales, and Product teams. The main goal: ensure smooth deployments, manage integrations, and help organizations scale their use of Otter’s AI-powered solutions. Expect a hands-on, customer-facing environment where both technical problem-solving and communication are essential. What you will do Serve as the technical lead for enterprise clients after purchase, guiding them through implementation and preparing for future growth. Collaborate with Customer Success Managers and Account Executives to onboard new clients, encourage adoption, and expand Otter usage within large organizations. Lead technical discovery sessions and design solutions tailored to each customer’s workflows and requirements. Advise on and support integrations involving APIs, calendars, workflows, and internal systems. Troubleshoot and resolve complex technical issues, acting as a trusted advisor to customer engineering teams. Promote best practices for deploying Otter at scale across enterprise environments. Work with Product and Engineering to share customer feedback and influence the product roadmap. Create reusable documentation, assets, and frameworks to support technical success after the sale. Requirements Minimum 3 years in Solutions Engineering, Technical Account Management, Professional Services, or a similar post-sales role. Experience supporting enterprise customers with complex technical environments. Strong understanding of APIs, integrations, and SaaS architectures. Proven ability to work across Sales, Customer Success, Engineering, and Product teams. Comfort engaging with both technical stakeholders (engineering, IT) and executive leaders. Experience with AI, data, or workflow automation platforms is a strong plus. Excellent problem-solving skills and a customer-first approach. How success is measured Reduce Time to Value (TTV) for enterprise customers by streamlining onboarding, implementation, and integration. Support high Year 1 Gross Revenue Retention (GRR) by driving adoption and reducing early churn risk. Maintain high Customer Satisfaction (CSAT) through proactive support and technical expertise. Contribute to account expansion and growth, positively impacting Net Dollar Retention (NDR).

OpenAI is hiring a Software Engineer for Post-Training Research in San Francisco. This position centers on improving the performance and capabilities of advanced machine learning models after their initial training phase. Role overview Work closely with a skilled team to explore new ways of strengthening AI systems. The focus is on researching and developing methods that push the boundaries of what these models can achieve once training is complete. Collaboration Expect to contribute to ongoing research efforts and share insights with colleagues who are passionate about advancing AI. Teamwork and knowledge exchange are key parts of this role. Location This position is based in San Francisco.

Join Baseten as a Post-Training Research Engineer and contribute to groundbreaking advancements in machine learning and AI. In this role, you will leverage your engineering skills to analyze and enhance models post-training, ensuring optimal performance and efficiency.

Join Baseten as a Post-Training Research Scientist, where you will play a vital role in advancing our machine learning capabilities. In this position, you will have the opportunity to conduct innovative research, analyze data, and contribute to the development of cutting-edge technologies. Your work will directly impact our projects and enhance the performance of our models.

Advancing Self-Improving SuperintelligenceAt Letta, we are on a mission to revolutionize artificial intelligence by creating self-improving agents that learn and adapt like humans. Unlike current AI systems that are often rigid and brittle, our innovative approach aims to build adaptable AI that continually evolves through experience.Founded by the visionaries behind MemGPT at UC Berkeley's Sky Computing Lab, the birthplace of Spark and Ray, we are backed by notable figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already enhancing production systems for industry leaders such as 11x and Bilt Rewards, continually learning and improving in real-time.Join our elite team of researchers and engineers dedicated to tackling AI's most significant challenges: creating machines that can reason, remember, and learn as humans do.This position requires in-person attendance (no hybrid options) at our downtown San Francisco office, five days a week.

West Monroe seeks an Advisory Lead for the Infrastructure & Cloud - Post Acquisition Services team. This position is part of the TechEX practice and focuses on supporting client mergers and acquisitions, from due diligence through post-acquisition execution. The work draws on experience in IT and public cloud engineering, architecture, security, and strategy. Role overview This role centers on assessing IT infrastructure for clients across industries such as Private Equity, High-Tech & Software, Healthcare, and Financial Services. Advisory Leads communicate findings to client executives, often through investment summaries, and take charge of remediation projects once acquisitions close. What you will do Collaborate with consultants in Cybersecurity, Software, and Data to create technology due diligence summaries that inform client M&A decisions and integration plans. Lead remediation projects after acquisitions, addressing identified IT infrastructure gaps. Conduct detailed IT infrastructure assessments for clients in various sectors. Present recommendations and findings to client executives to support their corporate development strategies. Location Candidates may be based anywhere in the United States. West Monroe has offices in Boston, Chicago, Dallas, Los Angeles, Minneapolis, New York, San Francisco, and Seattle.

Join Pylon: Innovating the Future of B2B Post SalesAt Pylon, we are revolutionizing the B2B post-sales landscape with our all-in-one support platform. Our solution harnesses the power of conversational data and advanced intelligence to empower our clients to manage their operations seamlessly and in real-time.Supported by industry leaders such as a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 clients including notable names like Linear, Cognition (creators of Devin), Modal Labs, and Incident.io. Our presence in the Enterprise Tech 30 List showcases our commitment to excellence.This role is fully in-person based in San Francisco; we do not offer remote or hybrid working options.Your RoleEngage directly with customers while architecting tailored solutions.We seek a former Software Engineer who knows the importance of automating tasks to enhance efficiency.Facilitate the migration of new clients from outdated support systems to Pylon.In your first week, lead customer migration meetings effectively.Act as the primary problem-solver for clients, assisting them in reimagining their workflows and data within Pylon.Develop deep product knowledge to guide customers toward optimal solutions, even when they may not fully understand their needs.Contribute to pre-sales discussions, becoming the definitive resource for solution exploration.Master both Pylon and the legacy systems we transition from (such as Zendesk and Intercom).Manage multiple customer migrations simultaneously, driving each to successful completion.Continuously refine the migration process for greater efficiency.QualificationsMust be located in or willing to relocate to San Francisco and thrive in an in-person work environment.Exceptional organization skills, a strong work ethic, and the ability to work quickly while managing multiple migrations.Detail-oriented and eager to learn, quickly becoming proficient in numerous tools.A passion for experimenting with the product and proposing enhancements.

Join Cartesia: Pioneering AI InnovationAt Cartesia, we are on a mission to redefine the landscape of artificial intelligence. Our goal is to create the next generation of AI that is interactive, ubiquitous, and capable of continuous reasoning across vast streams of audio, video, and text data. With an impressive foundation built on our pioneering work in State Space Models (SSMs) at the Stanford AI Lab, our team is uniquely positioned to advance model architectures that will make on-device reasoning a reality.Backed by prominent investors like Index Ventures and Lightspeed Venture Partners, along with a network of 90+ advisors, including top experts in AI, we are committed to pushing the boundaries of model innovation and systems engineering.About the RoleWe believe that the next significant advancement in model intelligence will stem from enhanced post-training methods and alignment strategies. As a Post-Training Researcher, you will be at the forefront of developing systems and methodologies that ensure our multimodal models are not just adaptive, but also aligned with human intentions.In this role, you will collaborate across machine learning research, alignment, and infrastructure, crafting innovative techniques for preference optimization, model evaluation, and feedback-driven learning. You will investigate how feedback signals can enhance reasoning capabilities across various modalities while establishing the necessary infrastructure to scale and improve these processes.Your contributions will be pivotal in shaping the learning and improvement trajectory of Cartesia’s foundational models, ultimately enhancing their connection with users.Your ImpactLead research initiatives aimed at enhancing the capabilities and alignment of multimodal models.Create cutting-edge post-training methods and evaluation frameworks to assess model advancements.Collaborate closely with research, product, and platform teams to establish best practices for specialized model development.Design, debug, and scale experimental systems to ensure reliability and reproducibility throughout training cycles.Convert research insights into production-ready systems that enhance model reasoning, consistency, and alignment with human values.

Join Pylon-Labs and shape the future of B2B Post Sales!Our innovative platform is trusted by top support and success teams at leading companies such as Hightouch, Merge, and Sardine. With Pylon, customer support is streamlined across various channels including Slack Connect, Microsoft Teams, Email, In-App Chat, and Slack Community—all managed seamlessly from one location.We are creating a comprehensive system of record that encompasses a vast surface area and presents intricate design challenges. We view design as a pivotal product differentiator, and this role will not involve mere pixel pushing. Instead, you will translate customer feedback into actionable insights and collaborate closely with engineers to deliver significant features that rival entire product lines from other firms. This is a unique opportunity to define the design vision and establish the design system for Pylon in an early-stage environment.Your Responsibilities:As a skilled product designer with a strong focus on visual design, you will be pivotal in our creative process.Within your first week, you will deliver designs to engineering for implementation.You will dive deep into understanding customer challenges and feedback.Work collaboratively with product and engineering teams throughout projects (we favor agile methodologies).Engage with cofounders and peers to navigate both problem-solving and solution development (our team operates without product managers).Foster open communication, present differing viewpoints, and facilitate constructive decision-making.Design comprehensive user flows for new features.Create high-fidelity mockups while considering UI/UX best practices.Collaborate with team members including Wendy, Ben, and Oliver to enhance our design system alongside engineering partners.Utilize analytics to validate your design decisions.Qualifications:Candidates must be located in or willing to relocate to San Francisco and be enthusiastic about working in person.You should demonstrate strong organizational skills, a diligent work ethic, and the ability to work swiftly.A passion for experimenting with the product and proposing enhancements is essential.

Join Pylon Labs and help shape the future of B2B Post Sales. Our innovative platform empowers top support and success teams at leading companies such as Hightouch, Merge, and Sardine to seamlessly manage customer support across multiple channels including Slack Connect, Microsoft Teams, Email, In-App Chat, and Slack Community—all from a single interface.At Pylon, we are creating a comprehensive system of record with a wide-ranging product that presents intricate design challenges. We recognize that exceptional design is crucial and serves as a key differentiator in our offerings compared to traditional players. This role is not merely about surface-level design; you will actively engage with customer feedback and collaborate with engineers to deliver significant features that rival entire product lines in other organizations. Being part of a startup environment, you will have the unique chance to establish the design vision and develop the design system for Pylon.Your Responsibilities:Deliver designs to the engineering team within your first week.Investigate and comprehend customer issues and feedback.Work in tandem with product and engineering teams throughout the project lifecycle (we prioritize collaboration over traditional waterfall methods).Collaborate closely with co-founders and peers to navigate both problem identification and solution development (as we do not employ product managers).Effectively communicate differing viewpoints and facilitate constructive decision-making.Conceptualize comprehensive user flows for new features.Create high-fidelity mockups and develop the UI/UX.Contribute to the design system development alongside Wendy, Ben, and Oliver, along with our engineering partners.Use analytics to validate design decisions.Qualifications:Located in, or willing to relocate to, San Francisco and enthusiastic about in-person collaboration.Highly organized, diligent, and capable of working efficiently.Passionate about experimenting with the product and suggesting enhancements.Compensation: The estimated salary for this position is approximately $200K USD, with adjustments based on experience and skills.

At Scale AI, we collaborate with leading AI laboratories to supply high-quality data and foster advancements in Generative AI research. We seek innovative Research Scientists and Research Engineers with a strong focus on post-training techniques for Large Language Models (LLMs), including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and reward modeling. This position emphasizes optimizing data curation and evaluation processes to boost LLM performance across text and multimodal formats. In this pivotal role, you will pioneer new methods to enhance the alignment and generalization of extensive generative models. You will work closely with fellow researchers and engineers to establish best practices in data-driven AI development. Additionally, you will collaborate with top foundation model labs, providing critical technical and strategic insights for the evolution of next-generation generative AI models.

ableserve is seeking a Janitorial Night Supervisor based in San Francisco, CA. This role manages nightly cleaning operations, ensuring that facilities remain clean and safe for all occupants. The supervisor leads the night crew, making sure all work aligns with company expectations and health regulations. Key responsibilities Direct and support the night cleaning team throughout scheduled shifts Monitor cleaning activities to confirm quality and safety standards are consistently met Respond to issues as they arise and report any maintenance needs Maintain compliance with established health and safety guidelines Requirements Previous experience supervising janitorial or cleaning staff Strong attention to detail and a commitment to maintaining cleanliness Ability to guide and motivate team members during overnight hours Understanding of safety and sanitation protocols