Staff/Senior Software Engineer (Machine Learning Product) - Open Source, Python

About UsAt Iterative, we develop cutting-edge open-source tools designed for machine learning, including DVC (with over 12,000 ⭐ on GitHub), as well as robust enterprise data infrastructure solutions. Our innovative team collaboration SaaS solution, Studio, is also a part of our offering. As a well-funded (Series A) remote-first team with over 50 employees, …

About Us:At LangChain, we are on a mission to revolutionize the world of intelligent agents. Our innovative platform empowers developers to transition from initial prototypes to production-ready AI agents that can be trusted by their teams. Originating from widely embraced open-source tools, we have since expanded to offer a comprehensive suite for building, assessing, deploying, and managing AI agents at scale.Today, our tools—LangChain, LangGraph, LangSmith, and Agent Builder—are utilized by teams delivering genuine AI solutions across both startups and major enterprises. Millions of developers rely on LangChain to enhance AI capabilities for companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With a successful $125M Series B funding from esteemed investors including IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in an exciting phase of product development and growth. Every team member has a significant opportunity to influence the technology we create and how we collaborate. At LangChain, your contributions will directly shape the future of AI.About the Role:On-site 5 days/week in San Francisco, CA or Boston, MA (San Francisco preferred)We are seeking a dedicated core maintainer to join our LangChain team. This individual will be instrumental in enhancing and maintaining the LangChain Python package.Enhancing the core abstractions and runtime of the langchain and langgraph packagesImproving our documentationProviding answers to user inquiries and resolving issuesUtilizing langchain to develop example applicationsSuccess Factors for This Role:5+ years of experience in software engineering or applied machine learningExcellent written and verbal communication skills, capable of conveying technical concepts clearly to both technical and non-technical stakeholdersAbility to thrive in a fast-paced environment, viewing unstructured situations as opportunities to identify impactful work and define the company’s future successOwnership mentality, demonstrating a proactive approach to work

About UsAt Temporal Technologies, we are revolutionizing the way developers build applications through our innovative open-source programming model. Our mission is to provide a reliable and efficient foundation that empowers developers to focus on delivering features swiftly and effectively. We are committed to fostering a collaborative and inclusive environment that encourages curiosity, humility, and teamwork. As we expand, we are seeking passionate individuals who align with our values and are eager to challenge conventional thinking. If you are dedicated to enhancing the developer experience, creating top-tier open-source software, and contributing to a vibrant community, we would love to welcome you to our team!We are actively recruiting Staff Software Engineers to join our back-end systems teams. Your role will be instrumental in developing features while managing the increasing complexity of our systems. You will have the opportunity to design, build, and maintain significant backend functionalities for scalable, multi-tenant services, impacting critical aspects such as latency, reliability, and availability. Collaborating within a dynamic team, you will contribute to our new enterprise offerings, encompassing both on-premise and dedicated cloud solutions. For more insights into the projects our OSS team is working on, click here - [new window opens]

At Hugging Face, we are committed to democratizing artificial intelligence. Our platform is rapidly becoming the go-to resource for AI developers, boasting over 11 million users who have collaboratively shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have received over 600,000 stars on GitHub.About the RoleAs an Open-Source Machine Learning Engineer, you will play a pivotal role in enhancing the open-source machine learning ecosystem. Your primary focus will be on improving existing libraries such as Transformers, Datasets, and Accelerate. You’ll collaborate with a diverse array of users and contributors in this vibrant community. We believe in fostering your interests and will work with you to ensure your contributions are impactful.In this role, you will help nurture one of the most active machine learning communities, guiding users in leveraging and contributing to the tools you develop. Daily interactions with researchers, ML practitioners, and data scientists will take place via GitHub, our forums, and Slack.About YouIf you have a passion for open-source projects and are eager to simplify complex technologies for broader audiences, we are excited to receive your application! We encourage candidates who may not meet every qualification to apply, as we seek to build a diverse team with complementary skills and experiences.More about Hugging FaceCommitment to Diversity and Inclusion: We actively cultivate a workplace that respects and supports all individuals, regardless of background. This commitment is essential to creating a thriving community and company.Employee Development: You will collaborate with some of the brightest minds in the industry. We prioritize impact and continuous growth, offering reimbursement for relevant conferences, training, and education.Well-being Initiatives: We support flexible work hours and remote work options. Health, dental, and vision benefits are available for employees and their dependents, along with parental leave and flexible paid time off.Remote Work Support: Although we have offices in NYC and Paris, we are a distributed team, allowing remote employees to visit our offices. We will also provide the necessary equipment to ensure your success.

Join Arena Intelligence as a Machine Learning ScientistAt Arena Intelligence, we are revolutionizing how AI models are evaluated in real-world scenarios. Founded by innovative researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI evaluation and ensure its practical application.With millions of users engaging with our platform each month, we prioritize community feedback to develop transparent, rigorous, and human-centered model evaluations. Our leaderboards serve as the benchmark for AI performance, gaining the trust of leading enterprises and AI labs to understand the reliability, alignment, and impact of AI systems.Our diverse team comprises experts from esteemed institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We foster a culture that values truth, agility, craftsmanship, curiosity, and impact over hierarchy. We are committed to creating an environment where talented individuals from all backgrounds can excel in their work.Role OverviewWe are seeking a passionate Machine Learning Scientist to spearhead our open-source research initiatives, including the development of open datasets and code releases. You will be instrumental in advancing how AI models are evaluated and understood globally.In this position, you will operationalize our dedication to openness by curating impactful datasets, developing innovative methodologies, and establishing reproducible benchmarks. Your contributions will enhance our public leaderboards, empower community tools, and promote transparency in AI evaluation on a global scale.This interdisciplinary role involves collaboration with engineers, product teams, marketing, and the broader research community to refine model comparisons, analyze preference data, and explore dimensions like style, reasoning, and robustness. You will also work closely with our go-to-market teams to advocate for our open research initiatives, strengthen research partnerships, and encourage community engagement.If you are excited by complex challenges, rigorous evaluation processes, and scientific outreach, we invite you to apply!

About UsAt Iterative AI, we develop innovative open-source tools for machine learning, notably DVC (over 12,000 ⭐ on GitHub), alongside enterprise-grade data infrastructure solutions. Our team also provides a collaborative SaaS platform known as Studio. With robust funding from our Series A round, we are a fully remote team of over 50 dedicated professionals committed to addressing the intricate challenges associated with managing datasets, ML infrastructure, and the entire lifecycle of ML models and workflows.We prioritize effective collaboration and communication, ensuring responsive engagement with both our open-source community and enterprise clients.Explore More: Website Docs : GitHub Blog ⏯ YouTube DiscordJob DescriptionAs a pivotal member of our team, you will lead development initiatives surrounding our flagship DVC product and its ecosystem. This role includes taking ownership of cross-product features and collaborating closely with adjacent projects and products. We are looking for a candidate with exemplary software engineering skills and a strong understanding of best coding practices, including automation, testing, and contributions to free and open-source software (FOSS). Proficiency in Python and experience in developing developer tools and maintaining open-source software are essential.

SmarterDx, a Smarter Technologies company, is revolutionizing the intersection of clinical care and payment systems through advanced AI technology. Established by a team of physicians in 2020, our innovative platform enhances the connection between clinical context and revenue intelligence. By empowering health systems to recover millions in missed revenue, we are committed to improving quality scores and supporting every denial appeal. Join us as a Smartian and contribute to optimizing the healthcare landscape for everyone. Discover more about our mission at smarterdx.com/careers.Role OverviewWe are seeking a talented Staff Machine Learning Engineer to lead the development of a premier ML Ecosystem that will enhance our clinical AI product suite. The ideal candidate excels in cross-disciplinary collaboration and consistently delivers high-quality results with a focus on building reliable systems and improving the developer experience.**This position is fully remote within the US**Key ResponsibilitiesDevelop and scale machine-learning features across various products.Create reusable architecture to streamline and accelerate machine learning development throughout the organization.Establish best practices for development and ML processes at SmarterDx while mentoring fellow engineers.

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.

Join our innovative Community Open Source Engineering team as a Senior Software Engineer, where you'll be pivotal in expanding the Quickwit OSS community and guiding the quickwit-oss project portfolio. Your expertise will be essential in enhancing the quickwit and tantivy projects, ensuring the happiness of our community, streamlining the release processes, and contributing to overall operations. This hybrid role emphasizes software engineering while also requiring a significant focus on technical writing, including crafting informative blog posts and comprehensive technical guides.The Community Open Source Engineering team is dedicated to nurturing engagement and directing the development of Datadog's open-source initiatives, which extend beyond our core product and security research. We prioritize community involvement, maintain software quality and security, and strategically develop new features to provide value to both the open-source community and our organization. As a member of this compact team, you will have a substantial impact on shaping the future direction of Community Open Source Engineering.At Datadog, we cherish our workplace culture, emphasizing the relationships and collaboration that foster creativity and innovation. Our hybrid work model allows Datadogs to establish a work-life balance that suits their individual needs.

Supported by top-tier Silicon Valley investors, Peregrine Technologies is dedicated to assisting public safety organizations, state and local governments, federal agencies, and private-sector institutions in tackling societal challenges with unmatched speed and precision. Our AI-driven platform transforms fragmented data into actionable insights—quickly presenting mission-critical information that empowers informed decisions and enhances outcomes at every level. Currently, we serve hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, and we are poised to broaden our reach into enterprise sectors and international markets.TeamAt Peregrine, we hold a strong belief that empathy is key to our solutions. Understanding user interactions with our products is crucial, and our engineers work closely with the team on-site to explore the diverse use cases that our platform addresses.We prioritize both accountability and teamwork; you will take full ownership of significant features while collaborating with fellow engineers to ensure their successful completion. We value humility and empathy as vital components in crafting effective solutions—you'll engage directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance are essential in realizing our vision.RoleAs a key member of our engineering team, you will play a pivotal role in delivering unique value to our clients. Your mission will be to create powerful, intuitive user experiences powered by generative AI, allowing users to engage with our platform in innovative ways. Your contributions will help develop safe, impactful AI-driven features that enable customers to solve real-world challenges more swiftly and effortlessly.Your responsibilities will encompass a variety of complex tasks, including scaling our platform to manage terabytes of data from multiple sources, efficiently querying and notifying users in real-time, and optimizing search algorithms for rapid result delivery.Our technology stack is continuously evolving, built on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend developed with React, Redux, and Mapbox; data storage solutions including PostgreSQL and Elasticsearch; machine learning models hosted on Bedrock and Sagemaker; and supported by AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.About YouA strong desire and initiative to take ownership of large components of our projects.Experience with machine learning frameworks and concepts.Proficient in Python and familiar with web development frameworks.Ability to work collaboratively in a team environment.A passion for developing innovative solutions to complex problems.

Join us in creating the most dependable on-demand logistics engine for last-mile retail delivery! We are on the lookout for a seasoned machine learning engineer to aid in the development of cutting-edge growth and personalization models that will elevate DoorDash's expanding retail and grocery services.About the RoleWe are seeking a dedicated Applied Machine Learning expert to become part of our innovative team. As a Staff Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic enhancements that enrich the growth and personalization experiences central to our rapidly evolving grocery and retail delivery business. Leveraging our advanced data and machine learning infrastructure, you will implement novel ML solutions to enhance the consumer search experience, making it more relevant, seamless, and enjoyable across grocery, convenience, and various retail sectors. A strong command of production-level machine learning and proven experience in addressing end-user challenges while collaborating effectively with multidisciplinary teams is essential.This position will report to the engineering manager on our Personalization team and is expected to be hybrid, combining both in-office and remote work (#LI-Hybrid).

Join Decagon as a Staff Software Engineer specializing in Machine Learning Infrastructure. In this role, you will play a crucial part in enhancing and optimizing our machine learning systems. You will collaborate with a talented team of engineers to build scalable and efficient infrastructure that supports our AI-driven initiatives.As a key contributor, you will leverage your expertise in software engineering and machine learning to solve complex challenges and drive innovation. Your work will impact various projects and help shape the future of our technology.

At Affirm, we are reshaping the landscape of credit by making it transparent and consumer-friendly, allowing individuals the freedom to buy now and pay later without hidden fees or accumulating interest.Join our dynamic team as a Senior Staff Machine Learning Engineer and play a crucial role in the evolution of our innovative ML team. Our commitment is to Affirm's mission of transforming financial services with a focus on transparency and inclusivity. We harness cutting-edge machine learning techniques to deliver responsible and accessible financial products.In this influential role, you will shape the future of machine learning at Affirm. Collaborating with ML Platform, engineering, product, and risk leaders, you will design, implement, and scale advanced modeling approaches that inform critical decisions within the organization. Your expertise will elevate our modeling capabilities, influence architectural directions, and ensure our systems are equipped to handle increasingly complex workloads. As a mentor to senior engineers, you will clarify intricate problems and contribute to a cohesive long-term ML strategy. If you are enthusiastic about pioneering modern machine learning solutions and eager to drive impactful innovation in a growing organization, Affirm is the perfect place for you.

The Machine Learning Observability team at Datadog is at the forefront of developing innovative tools designed to monitor, interpret, and enhance AI systems deployed in production environments, with a special focus on Large Language Models (LLMs) and generative AI technologies. Our solutions provide comprehensive and scalable observability for AI workloads, including drift detection, model evaluation, and behavior tracing, empowering our clients to deploy AI confidently. As a Staff Software Engineer, you will be instrumental in driving the development of new features and core capabilities within Datadog’s LLM Observability product. You will influence product strategy, lead experimental initiatives, and leverage your extensive knowledge of AI systems and software engineering to tackle complex challenges in the rapidly evolving AI domain. Your contributions will have a significant impact on how our customers monitor, diagnose, and optimize LLM-powered applications in production. Join us in creating the essential tools that ensure AI systems are observable, comprehensible, and dependable in real-world applications. At Datadog, we value our office culture which fosters relationships, collaboration, and creativity. We operate within a hybrid work model to enable our Datadogs to achieve a work-life balance that suits them best.

About Temporal TechnologiesAt Temporal Technologies, we are revolutionizing the way developers create reliable applications through our open-source programming model. Our mission is to become an essential tool in every developer's toolkit, enabling them to focus on what truly matters: delivering features quickly and efficiently. We are driven by our core values of curiosity, collaboration, authenticity, and humility, which shape how we work together to achieve impactful results. As we continue to grow, we seek like-minded individuals who are eager to challenge conventional thinking and contribute to our vision. If you are passionate about enhancing the developer experience and building exemplary open-source software and communities, we would love to hear from you!Position OverviewAs a Senior Software Engineer on our Open Source Server team, you will have the opportunity to design, develop, and maintain critical aspects of our backend systems for highly scalable, multi-tenant services. You will take ownership of key distributed systems components such as Quotas, Throttling, Visibility, Task Processing, and Matching. In this collaborative environment, you will help us create a new enterprise offering that encompasses both on-premise and dedicated cloud solutions. Join us in building the core of Temporal by exploring the Temporal GitHub repository for more insights. To view details about ongoing projects and demo videos from the OSS team, click here - [new window opens]

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

Join Open Source Integrators as an Acumatica Business Consultant, where you will work collaboratively with a talented team of consulting experts to implement ERP solutions for clients across North America and Europe. Your role will primarily focus on understanding client business requirements, crafting effective solutions, and ensuring seamless software implementations. You will collaborate closely with Project Managers, Developers, Technical Architects, and Business Consultants to achieve outstanding results and enhance business value for our clients.Key Responsibilities Engage with functional teams and end users to collect, analyze, and document business requirements, workflows, and processes. Create comprehensive documentation and process diagrams to facilitate solution design and implementation. Evaluate existing business processes and systems, identifying areas for improvement and efficiency enhancements. Conduct functional testing of new system features and enhancements to ensure they meet business requirements. Provide training to client staff on new business processes and system functionalities, ensuring smooth transitions. Foster effective communication among stakeholders to clarify objectives, challenges, and project expectations. Offer practical recommendations for process improvements based on in-depth research and analysis. Support change management initiatives to promote successful ERP adoption. This position requires travel.

Reddit is a vibrant community of communities, fostering shared interests and authentic conversations. With over 100,000 active communities and around 121 million unique visitors daily, Reddit stands as one of the largest sources of information on the internet. To learn more, visit www.redditinc.com.We are seeking a Senior Staff Machine Learning Engineer to become a pivotal member of our Feed Relevance team. This team is at the forefront of developing the end-to-end systems that enhance personalization and ranking for Reddit’s main feeds. In this crucial role, you will combine hands-on development with technical leadership, focusing on creating scalable, extensible, and high-performance personalization systems. Your expertise will define the technical direction for the team as you collaborate closely with Product and Engineering leadership to shape our strategy. Together with other talented individual contributors, you'll work on advancing and scaling our systems to support tens of millions of users. Your efforts will empower our Machine Learning Engineers (MLEs) and other engineers to rapidly iterate and continually enhance the user experience. Additionally, you will collaborate with Infrastructure and Platform teams to guide the future direction of our core infrastructure, paving the way for Machine Learning innovations at Reddit.

Join our innovative Prediction & Behavior ML team at Zoox, where we are at the forefront of developing cutting-edge machine learning algorithms that analyze and predict driving behaviors from complex data sets. Our algorithms are pivotal in enhancing both on-vehicle driving decision-making and off-vehicle simulation and validation processes. By closely collaborating with the Planner team, we ensure a seamless integration of behavior forecasting and motion planning, driving the advancement of our autonomous vehicle technology. Furthermore, our partnerships with the Perception, Simulation, and Systems Engineering teams enable us to rigorously validate and refine our driving performance.As a Learned Trajectory Machine Learning Engineer, you will be instrumental in designing and implementing advanced deep learning models that generate accurate trajectories for our vehicles. Your work will directly impact the integration of behavior prediction with motion planning, and you will collaborate extensively with Planner and Perception teams to elevate our vehicle's overall functionality and performance.

Join SuperDial as a Senior Staff Software Engineer, where you will lead the design and enhancement of backend systems that support large language model (LLM) applications in the healthcare sector. This position is perfect for an engineer who excels at the crossroads of backend architecture and applied artificial intelligence, focusing on creating reliable, secure, and cost-effective APIs and infrastructures for production-level LLMs. If you're eager to transform LLMs from mere demonstrations into essential components of critical healthcare workflows, we invite you to apply.Key Responsibilities:Backend Development for LLMs: Architect and develop scalable, low-latency APIs and services that wrap and optimize LLMs for healthcare applications.Data & Retrieval Systems: Create ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines that integrate clinical and revenue-cycle data with LLMs.LLMOps & System Monitoring: Design robust systems for model monitoring, evaluation, cost tracking, and operational guardrails to ensure reliability.Performance Optimization: Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud environments.Security & Compliance: Develop HIPAA-compliant infrastructures and data governance frameworks for LLM applications.Collaborative Development: Work closely with product teams, ML engineers, and healthcare professionals to translate business needs into robust backend systems.Technical Leadership: Oversee the complete delivery of LLM backend projects and mentor team members in best practices for LLM system design.Your Profile:5+ years of experience in backend or full-stack software engineering, including at least 3 years working with ML/LLM applications.Proficient in Python and ideally one statically typed language such as Go, Java, or TypeScript.Experience with LLM integration frameworks like Hugging Face, LangChain, or OpenAI APIs.Solid understanding of distributed systems and service-oriented architecture, with experience in scalable API development.Expertise in cloud-native technologies: AWS, GCP, Azure, Kubernetes, Docker, Terraform, etc.Familiarity with MLOps practices, including CI/CD for models, evaluation harnesses, and monitoring.