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AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship. The AI agents you build will directly empower custo

Founded in 2022 by a seasoned leadership team, CHAOS has quickly become the place where world-class multi-disciplinary engineers come to build mission-critical technologies.CHAOS has a mission-focused culture, dedicated to solving the toughest technical challenges.Its unique agile engineering approa

About the team Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts. In pursuit of this mission, our Research Team is responsible for building and training appropriate machine learning models capable of translating brain data into useful forms, such as text. About the role As our Lead Machine Learning Engineer, you will be directly responsible for all our machine learning efforts, the core of our business. You’ll be figuring out how to most accurately and efficiently translate brain wave data to useful forms. You’ll work with researchers, hardware engineers, and the CEO/CTO. This role is based in San Francisco, CA. We're an in-person company who deeply believe that great products are not built working from home. In this role, you'll: * Work across our ML stack, and occasionally work on general software efforts as well * Build, train and deploy our ML translation models which convert brain waves into more useful forms * Learn about the brain, and understand how optimizing hardware can lead to model accuracy improvements * Grow and manage the Research Team, and its direction We're looking for candidates with the following traits: * 2+ years experience building, training and deploying ML models * Curious about the brain, and passionate about unlocking human-computer interaction * Strong leadership skills and self-starter, able to carry a project from beginning to end About Mind Company Mind Company is 6-person neuro-tech startup with the mission of building noninvasive neural interfaces. We build our own hardware systems which measure brain data, collect proprietary training datasets, and train useful ML models. If we succeed, humans will be communicating at higher information rates, playing video games with their mind, and never using slow keyboards again. All without requiring surgery. Join us in making this vision a reality.

Please Note: This role is in-office in San Francisco at our headquarters, working with the entire company five days per week. We are not open to remote candidates. Campfire is on a mission to redefine the accounting software landscape by taking on giants like Netsuite to build modern accounting software for startups and mid-size tech companies. We graduated from Y Combinator's Summer 2023 cohort, and we are backed by prominent investors like Foundation Capital and a rapidly growing customer base. Join our team as an AI Engineer at Campfire, where you'll design and implement AI-driven solutions that supercharge our accounting platform. From automating financial workflows to building intelligent features that provide real-time insights, you’ll be at the forefront of making accounting smarter, faster, and more intuitive for our customers. Has Expertise: * Strong background in machine learning, deep learning, and natural language processing (NLP). * Proven experience with frameworks like PyTorch or TensorFlow, and proficiency in Python. * Hands-on experience deploying ML models into production environments. * Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases. Thrives in Agility: * Our team is lean and moves quickly. You’re comfortable experimenting, iterating, and shipping fast. Values Autonomy: * You take ownership end-to-end — from prototyping models to deploying and monitoring them in production. * You’re not just looking for a job; you’re seeking a challenge. * You’re passionate about applying AI to solve real business problems. * You want to build practical, customer-facing applications of AI rather than just research. * You’re eager to collaborate cross-functionally with engineering, product, and design in a fast-paced startup environment. Think you’re the perfect fit? We’re excited to meet you! Reach out, share your story, and let’s explore how you can bring intelligence to Campfire’s mission. We provide top decile benefits, including: * 100% premium coverage for employees and 80% coverage for dependents * Comprehensive healthcare and dental care options

Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities * Apply state-of-the-art ML and LLM techniques to solve problems spanning: * Personalization (LLM memory, context summarization, retrieval and ranking); * Query Understanding (intent modeling, rewriting, agentic decomposition); * Content Discovery (feed ranking and surfacing) * Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. * Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. * Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. * Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications * 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. * Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. * Strong software engineering skills (Python, production-quality codebases, collaborative development). * In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. * Proven collaborator and communicator; excels in high-velocity, cross-functional teams. * Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. * BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For * Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. * Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). * Open-source or published contributions in ML, NLP, IR, or relevant research fields.

About the Team The Sora team is working on making video a key capability of OpenAI’s foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely. About the Role As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Collaborate with researchers to enable them to develop systems-efficient video models and architectures * Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs * Profile and optimize our training framework You might thrive in this role if you: * Have experience working with multi-modal ML pipelines * Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability * Have strong software engineering skills and are proficient in Python. * Have experience understanding and optimizing training kernels * Are passionate about understanding stable training dynamics About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Eluvio is a highly focused and expert team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security specialists working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through state-of-the-art real-time content routing, just-in-time code execution, and inline frame accurate multi-modal content AI. We are headquartered in Berkeley, CA. Our technology supports ground breaking content distribution and monetization driven by data, and we have formed Eluvio AI Labs to pursue the frontiers of innovation for Content AI. We are hiring for Principal AI Scientist to lead the effort on foundation (Video/Text/Images - multimodal) ML/AI models. This role will drive the organization level mandate for AI/ML research and development, and lead a team to innovate new and breakthrough AI/ML solutions for topics like (not limited to) - video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis. Job duties: • Drive the organization level AI mandate and roadmap and set technical direction ensuring alignment with business goals., • Manage multiple stakeholder’s needs and map product gaps to AI solutions., • Drive the AI team’s initiatives on (not limited to), • Applied Research and Development of novel Video Foundation models for use cases spanning, video understanding, search and generation., • Deployment of production-grade multimodal and/or LLM/VLM models., • Design and development of novel infrastructure for ML training, inference, and content search. • PhD in Computer Science or related fields (ECE / Statistics / Math / Physics). Strong Masters will be considered., • Minimum of 7 years of working experience as a machine learning engineer., • Demonstrated ability to build, verify, and deploy state-of-the-art task-specific ML models., • Deep knowledge of machine/deep learning algorithms (e.g., Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax)., • Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications., • Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment., • Strong technical expertise in system design and software development. Proficiency in both high-level languages (e.g., Python, JavaScript, Bash) and system programming languages (e.g., C/C++/Go/Rust)., • Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems. Employee stock equity program Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation.

At Pulley, we are on a mission to help construction teams break ground faster. The United States is ___ while housing production and affordability remain near historic lows. Meanwhile, retail and office real estate ___ and the AI boom has led to ___. Permitting requirements vary vastly by jurisdiction, making it challenging to navigate for home builders, retailers, architects and contractors. It creates a critical bottleneck that every project must traverse. While the industry remains largely fragmented and underserved, we believe that combining cutting-edge software with permitting expertise can condense permitting timelines from months to days or even hours! We are a passionate team building software for the built environment around us. Founded by ___ and ___ in 2021, our team combines deep experience in real estate and construction with a track record of shipping software loved by millions of customers. We’re backed by ___, ___, ___, ___, ___, ___, ___ and leaders from ___, ___, ___, ___, ___, ___, and ___. We’re building the world’s first software platform for construction permitting — for any project, in any city. Our north star is speed; everything we do is in the service of helping our customers get their permits as fast as possible. We serve some of the top developers, builders, retailers and architects in the industry to permit new apartment buildings, office space, homes, stores and much more! We are hiring an experienced AI engineer to join the Pulley team and help us accelerate and differentiate our product offering. As an early AI engineer at Pulley, you will get to: * Help construction teams break ground faster * Develop and deploy AI-driven features dealing with unstructured permitting documents, city regulations, etc * Shape the AI strategy and help build the foundation for AI/ML at Pulley * Contribute to system architecture, ensuring AI models are integrated seamlessly into our tech stack (React, Tailwind, TypeScript, Vercel, and Google Cloud) * Collaborate cross-functionally with product, design, and engineering teams to deliver AI-enhanced experiences that feel intuitive and reliable We are looking for someone who: * Has 5+ years of ML/AI experience at a technology company * Has experience working with large language models, fine tuning and retrieval-augmented generation * Is familiar with and comfortable setting up AI and data infra from scratch such as vector databases, LangChain and Docker * Is based in the San Francisco Bay Area, willing to work in-person 4 days a week. * Thrives in ambiguity and defines the right problems to solve * Can translate complex customer needs into extensible, scalable product solutions * Enjoys collaborating with engineers and designers to meticulously craft great experiences * Architects durable systems while making reasonable tradeoffs

The Role As a Staff Machine Learning Engineer in Fraud and Abuse ML Engineering, you will play a central role in designing, building, and evolving the machine learning systems that safeguard Block's ecosystem from fraud, abuse, and other malicious activity. You will architect and lead the development of high-scale, real-time ML systems that power our fraud decisioning across the Block network, protecting millions of customers and merchants while maintaining seamless user experiences. You Will • Build and maintain real-time and batch data pipelines/APIs to support ML model inference at scale., • Design elegant ML pipelines and services, prototype new approaches, and productionize solutions at scale., • Collaborate with product and engineering teams to define data models and schemas for consistent and structured data flow., • Integrate and enrich diverse internal and third-party data sources to enhance our feature store and modeling capabilities., • Ensure data quality and completeness through automated validation, monitoring, and alerting., • Develop new triggers and event hooks that support enhanced risk evaluations and detections., • Participate in SEV management by rapidly integrating new data, deploying new features, and implementing stopgap controls to mitigate risk., • Apply ML and engineering best practices to shape how Block develops, tests, and maintains ML-platform solutions., • Support the integration of risk decisions and scores into downstream systems, ensuring they are consumed and acted upon correctly. You Have • 12+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning projects., • A proven ability to shape how teams effectively adopt and evolve AI practices; driving adoption of AI-first workflows by coaching leaders, identifying scalable use cases, and embedding quality and accountability in team norms., • Experience leading experimentation cycles and building a shared understanding of how AI drives business outcomes., • Curiosity and a passion for Block's mission of economic empowerment., • Experience helping your teammates grow through mentorship and providing constructive feedback., • A desire to be hands-on and help invent the future of AI., • The ability to work autonomously in the rapidly evolving world of ML. Technologies We Use and Teach • Python, Java and Kotlin, • Tensorflow and PyTorch, • AWS, Databricks and Kubernetes, • MySQL, DynamoDB, Kafka, Spark We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace? Check out our ___ Full-time employee benefits include the following: • Healthcare coverage (Medical, Vision and Dental insurance), • Health Savings Account and Flexible Spending Account, • Retirement Plans including company match, • Employee Stock Purchase Program, • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance, • Paid parental and caregiving leave, • Paid time off (including 12 paid holidays), • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees), • Learning and Development resources, • Paid Life insurance, AD&D, and disability benefits These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Atlas is the concierge and credit card that unlocks coveted access and enables seamless spending. Our cardmembers are discerning, busy individuals who rely on Atlas to deliver convenience across their lifestyle while ensuring their spending power is both reliable and effortless. In just 12 months, we’ve scaled to over $X00,000,000 in spending volume, growing double digits monthly—organically, with no paid marketing. We are backed by world-class investors and have multiple years of runway. Our team brings experience from building and launching iconic products and companies like Apple, Robinhood, and DoorDash. We’re a small team of around 35 people based between NYC and SF. We value in-person collaboration and expect you to join us in the office. We’re looking for an applied AI engineer to help us build the future of Atlas. You’ll work on our next-gen AI-powered concierge, creating tools (i.e. recommendations, concierge request automation, etc) that make life easier for some of the most influential people in the world. This role is about solving real problems in dining, travel, and payments while improving outdated systems. It’s a chance to make a big impact on a small team shaping a product people genuinely love. This role is based in our SF office (FiDi), with an expectation of at least three days per week in person. We believe passionate and determined people can excel with any tech stack. In an ideal world, you check these boxes: * 5+ years developing client/server software in dynamically typed languages (Node, Ruby, Python), statically typed languages (Java, C, C++), or other modern environments (Go, Rust, Elixir, etc.). * 3+ years developing cloud-based software on AWS, GCP, Azure, etc. * Strong prompt engineering and chaining knowledge with LLM/AI API Integration experience. * Knowledge of data modeling in relational databases (SQL) and vector databases. * Understanding of optimization and performance profiling especially in data ingestion and responses. * Solid collaboration skills and the ability to work well with product, design, and other cross-functional teams. * It’s fun: Where else can you work on advanced tech solving problems in travel, dining, and payments? * It’s impactful: We’re the primary payment method for discerning and notable individuals. * It’s early: We’re well-funded, lean, and growing, with a small team of around 20 people. * The team: You’ll join a group of creative, accomplished, and ambitious people. * Compensation: Our lean structure allows us to offer competitive equity and cash compensation.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better. \n Responsibilities • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team, • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship, • Participate in products technical design and architecture, • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production, • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved, • Implement and manage security protocols such as training, code review, and best practices, • Own and manage the risk and security of your business function in coordination with the Security Team, • Maintain awareness of industry best practices for data maintenance handling as it relates to your role, • Adhere to policies, guidelines and procedures pertaining to the protection of information assets, • Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements • Undergraduate or graduate degree in computer science or similar technical field, • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data, • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP, • 2+ years experience managing machine learning teams, • You have an ability to understand and make well-reasoned tradeoffs in designing features, • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results, • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members, • Have experience collaborating with product managers and labeling team in delivering model improvements \n Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Anyscale: At ___, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing ___, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like ___, ___, ___, ___, ___, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by ___ with $250+ million raised to date. About the role The Anyscale Research team is looking for a strong ML Engineer and Researcher who is passionate about pushing the boundaries of what’s possible with Ray. In this role, you will be instrumental in developing cutting-edge features, such as our new Accelerated DAG (ADAG) API, to establish Ray as a leader in large-scale training. You will play a key role in exploring new directions and driving our vision for Ray’s future. This position is ideal for individuals with a strong engineering background and a passion for ML systems. You will spend approximately 70% of your time coding and engineering, while the remainder will focus on research to support our strategic vision and innovation. The role demands a deep understanding of ML systems and applications, including LLMs and multimodal models, with a strong emphasis on technical skills and engineering expertise. About the team We are a newly formed team dedicated to applied research in both ML modeling and systems. Our mission is to advance the capabilities of Ray and advance machine learning workloads on the Anyscale Platform. We operate at the intersection of research and engineering, collaborating closely with the Ray Core and Ray Train teams to bridge gaps and develop innovative solutions that push the frontier of ML and systems research. \n We'd love to hear from you if have • Production level experience in Machine Learning, and in distributed ML Systems (Python/Pytorch), • 4+ years experience in one of those fields: Machine Learning, NLP, or CV, or ML Systems, • Graduate degree (MSc or PhD) in one of the fields above, • Published in a top-tier AI conference (Neurips, ICML, ICLR, CVPR, ACL, etc) A snapshot of projects you may work on • Enhancing Ray for Large-Scale Training: Collaborate with the Ray Core and Ray Train teams to adapt and optimize Ray for efficient, large-scale GPU-heavy training, addressing current limitations and expanding its capabilities., • Developing the ADAG API: Explore and potentially implement an Accelerated DAG (ADAG) API for Ray, aiming to improve performance and scalability for complex ML workflows., • System Integration and Optimization: Create and refine integrations between Ray and other components, such as Ray Data, to streamline large-scale ML processes and ensure seamless operation across different systems., • Research and Innovation: Contribute to cutting-edge research in ML systems, identifying new opportunities and methods to push the boundaries of what Ray can achieve in large-scale training environments., • Prototype and Benchmarking: Design and build prototypes to test new features or enhancements, and conduct benchmarking to assess performance improvements and validate the effectiveness of your solutions., • Work on applied research, pushing state-of-the-art on large-scale model training, • Advance Ray as the best open source library for large-scale machine learning Compensation • At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including, Stock Options, • Healthcare plans, with premiums covered by Anyscale at 99%, • 401k Retirement Plan, • Wellness stipend, • Education stipend, • Paid Parental Leave, • Fertility Benefits, • Flexible Time Off, • Commute Reimbursement, • 100% of in office meals covered \n Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the ___ and the ___

* Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work – e.g. Jupyter notebooks and Pandas – are over a decade old. * We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina is an AI Agent for Data Science: leveraging a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines. * Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML. * We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC. * This role is based in San Mateo, CA. We are in person 2 days per week and offer relocation assistance to new employees. In select cases we also offer remote options. * We're looking for a Machine Learning Engineer to join as a Member of our Technical Staff at Delphina * As one of our key hires, you will partner closely with our team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture. * As an MLE at Delphina, you will conduct research investigating how ML workflows can be automated. You will be responsible for: * Making sense of existing research and transforming the latest academic research and best practices into production-ready solutions. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from both the research literature and of your own creation. * Partnering closely with customers. It's both critical that our early customers are successful in using the Delphina product, and also that you are an expert in what customers really need. * Turning science and customer needs into product. Our MLEs are deep in the code directly, and collaboratively closely with the rest of our cross functional team to shape our direction and drive outcomes. * Working independently. We believe that scientists benefit from high levels of autonomy and we are indexed on giving you the space you need to succeed. * We are looking for practical experience in the following areas: * Feature engineering and feature search * Tree-based models and deep learning * Timeseries modeling * Production ML uses-cases in areas including fintech and manufacturing * LLM Agents * AutoML * Sufficient software engineering skills to conduct large-scale research experiments and build production prototypes * Demonstrated track record of success * Energy and ambition to build a product that is surprisingly good in surprising ways. * Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done. * Experience building + shipping ML production systems * Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.) * Equity in the company * Medical, dental, and vision insurance * 401k * Unlimited PTO * Top of the line Apple equipment * Free lunch in the office twice a week

About the Team OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems. About the Role As a Research Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: * Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. * Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. * Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. * Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. * Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: * Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. * Demonstrated experience in deep learning and transformers models * Proficiency in frameworks like PyTorch or Tensorflow * Strong foundation in data structures, algorithms, and software engineering principles. * Experience with search relevance, ads ranking or LLMs is a plus. * Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization * Excellent problem-solving and analytical skills, with a proactive approach to challenges. * Ability to work collaboratively with cross-functional teams. * Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines * Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Tier 1 investors like Jack Altman (Alt Capital), Amplify Partners, First Round Capital, Y Combinator, and more. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI. As a Founding Audio AI Research Engineer, you will drive our research roadmap—shaping strategy, leading model development, and working closely with customers and internal teams to deliver high-quality data. You will: * Develop and publish benchmarks and research to evaluate audio and speech quality, collaborating with academic and industry partners to advance the field and set new standards. * Work with researchers across leading AI labs and organizations to build out our data roadmap that will enable future speech models and applications. * Collaborate with our product and operations team to design and conduct experiments that collect high-quality audio data to fuel your cutting-edge research. * Set strategic and technical direction around our R&D roadmap based on latest research. * Ph.D. or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field with a focus on speech or audio. * Experience with training and evaluating generative audio models. * A deep understanding of Digital Signal Processing fundamentals. * A strong research portfolio with publications at top venues. * Collaborative mindset and experience leading research agendas with product and other teams. * Experience in dataset design and conducting empirical analysis of audio data distributions, identifying biases or gaps, and proposing strategies for improved dataset design or collection. * Research-oriented software engineering skills, including fluency with technologies like PyTorch, TensorFlow, Scikit-learn and Pandas. * Leadership experience in a research setting. * Prior startup experience. * Rapid career growth, at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

Look around you today, every store, home, hospital, school, was made possible by the coordination of architects and a team of professionals. They are charged with the responsibility of creating our shelters and yet, they are left with nothing more than Excel to manage their work. We're here to change that. Monograph is a firm performance management platform for architecture and engineering practices. Firms use Monograph to make quick and confident decisions about budgeting and resources to drive their practices forward. People first: Core to the team, we believe in people first, curiosity, and empathy. You'll be a culture ambassador and deploy your genuine value for relationships to drive success and happiness. Build a company that will redefine architecture: Project management is just the beginning...we have big ambitions to help facilitate the entire design process from becoming the document source of truth to coordinating with consultants. You can shape the future of building design. Work with some of the best product people in the world: We’re an innovative team of highly productive individual contributors with a strong design background. You will be doing some of the best work of your life. We are ready to bring on our first AI engineer, dedicated fully to this function. • Currently in the SF area (required) and open to joining a remote-first team, eventually coming in office to collaborate about 1x per week, • A generalist who takes pride in your work and seeks impact in what you deliver, • React/Typescript and Ruby on Rails experience, • Familiarity with GraphQL, • Effective written and verbal communication, • Mid to senior level startup experience, • Next.js frontend web app, • Ruby on Rails backend web app, • GraphQL, • React native / Expo mobile app, • Postgres, redis, • Spend time learning about the industry we serve. A significant portion of our team has worked in architecture or architecture-adjacent industries, so there’s a wealth of knowledge on tap!, • Provide technical mentorship to a teammate., • Work with your product and engineering peers to scope, deliver, test, and maintain features that delight our customers., • Estimate project work, to set or reset expectations with your teammates., • Spend time 1:1 with your manager and other Monograph leaders, sharing your experience and working together to help you reach your growth goals., • Contribute to decision-making through our RFC process. We use RFCs to collaborate on our process and technical decisions., • Perform compassionate code reviews, seeking opportunities to learn and teach., • Track down and fix pesky bugs. We’re always looking for ways to improve the product!, • Collaborate closely with customer-facing teams to ensure our users continue to love our product., • Write and ship code in our Next.js and Rails applications., • Contribute to our engineering culture by giving a presentation, or sharing something you’ve read., • Spend time with your teammates, whether in a pairing session, a “coffee, cookies, and code” meeting, or regular team syncs., • Share your weekly goals with your teammates, and review their goals with an eye toward how we can assist one another in reaching them together!, • Occasionally travel to team off-sites for real, face-to-face interaction and collaboration., • Exposure to a range of problem domains, programming languages, and frameworks, and familiarity with patterns that are idiomatic to them. We value diverse perspectives, and the depth and breadth of your experience will provide unique insights into the problems we solve each day!, • Bringing a people-focused approach to your work. How will your work impact our customers? How will it impact your coworkers? These are front-of-mind for you when you consider the ever-present tradeoffs in building software., • Being intentionally curious. During your time as an employee, you are expected to challenge the status quo, not take things for face value, and ask: “why?”, • Willingness to do the hard thing, whether having a difficult conversation with a coworker or stretching into the discomfort at the edges of your experience and knowledge., • Finding the opportunities for enjoyment in new challenges, and making space for silliness now and again. You’ve learned how to make work fun for yourself and those around you., • Being design driven. Experiences should be as well-designed as the buildings our customers work on. Salary Range: $100,000 - $130,000 depending on experience We encourage individuals from underrepresented backgrounds, including women and minorities, to apply for this position. We believe in creating a diverse and inclusive workplace and welcome candidates who may not meet every listed requirement but are eager to contribute and grow within our team. Even if you don't meet every requirement, we still encourage you to apply. 🎭 Innovative engineering and product culture 💰 Early-stage well-funded company ❤️ Inclusion and diversity as a company priority And for US-based, full-time employees: 🌡 100% premium coverage on our healthcare plans for employees and their families 🦷 Dental & vision coverage for employees and families 🖥 New laptop & equipment 🏋🏻‍♀️ Wellness Stipend

Snapshot Work with research scientists and engineers to advance the capabilities of ___, an AI agent for code security. Together, you will apply ML and advanced program analysis techniques to make software more secure. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role AI’s cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up. We recently announced ___, an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that’s both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process. As a research scientist in the CodeMender team, you will research new approaches to leveraging AI for code security, build prototypes and demos, train new models, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly. The preferred locations are Mountain View, San Francisco, or New York. Key responsibilities: • Developing strategies and solutions to advance the agent's abilities to solve code security challenges., • Integrating novel agentic techniques into research prototypes., • Training new models using fine tuning or reinforcement learning techniques., • Building evaluation pipelines, benchmarks, and leaderboards., • Working with product teams to gather research and product requirements., • Consulting on the deployment of research-based solutions to products. About You We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and at times change course if our ideas don’t work out, so flexibility and adaptability to work is a must. In order to set you up for success as a Research Scientist or Research Engineer at DeepMind, we look for the following skills and experience: • Extensive experience with developing ML techniques to reasoning and code generation problems, • MSc or PhD/DPhil degree in computer science or a related field., • Significant success with project(s) building AI tools, either as research publications at top conferences, as an artifact developed at a company, or as open source artifact(s)., • Large contribution to the code and (co-)leading the development in the project(s) above (which can be a research prototype)., • Proven experience of prominent ML frameworks is highly desirable., • Experience in ML/AI for Code is helpful., • Independent, self-starter attitude., • Passion for the mission above. The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About the Team We're hiring across multiple teams, each focused on distinct areas of advancing artificial general intelligence (AGI). As an ML engineer supporting these teams, you’ll help build the infrastructure that powers our research roadmap. Our goal is to dramatically accelerate research velocity by maximizing the efficiency of both our researchers and our hardware. About the Role We're looking for ML engineers to help empower our researchers and accelerate research progress. Ideally, you've worked with researchers in the past and enjoy the challenges of a dynamic research environment. We're looking for people who love making the teams they work on more productive and love making the GPUs they’re using more productive. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Build tooling or infrastructure to accelerate the teams you work on * Dig into issues across the stack, even if it goes outside your team’s remit * Help co-design ML with systems considerations * Make clever tradeoffs to unblock exploration while maintaining sanity * Do what it takes to unblock research progress You might thrive in this role if you: * Love figuring out how to make ML systems work better * Have experience with ML experimentation and LLM training or inference * Have strong software engineering skills and are proficient in Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see ___. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through ___. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role We are seeking an engineer living at the intersection of embedded systems and ML to enable rich, reliable interactions on wearable devices. The ideal candidate will be comfortable working across the software stack, excited by the idea of taking a feature from the whiteboard to a product in customers’ hands. You’ll work closely with hardware, firmware, and product teams to make the interaction feel effortless and consistent for every user, in every environment. Responsibilities: * Design, train, and deploy algorithms for gesture detection on ultra-low-power embedded hardware. * Evaluate and adapt larger ML models for running on mobile class hardware. * Own the full development cycle: system design, data collection & curation, synthetic data generation, model training & evaluation, and on-device optimization. * Collaborate with electrical, mechanical, and product teams to integrate algorithms with evolving hardware designs. * Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals. Required Qualifications: * 10 years of experience in Software Engineering, ML Research, or related fields. * Experience working with a high degree of autonomy in ambiguous environments. * Proven experience building and deploying ML algorithms on embedded or resource-constrained devices. * Proficiency in Python and C/C++, with experience in frameworks such as PyTorch or TensorFlow. * Hands-on experience with end-to-end ML workflows, from data capture to on-device deployment. * Strong grasp of signal processing and/or time-series analysis for sensor data. * Excellent communication skills and the ability to work collaboratively across disciplines. * Bachelor’s degree or higher in computer science, electrical engineering, machine learning, or related field. Preferred Qualifications: * Master’s / Ph.D. in a relevant field. * Experience with wearables, IMUs, or tactile/force sensors. * Familiarity with synthetic data generation and augmentation techniques. * Experience in a startup or fast-moving product environment. * Experience deploying models in products. * Track record of optimizing algorithms for power, latency, and memory footprint. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact for assistance. Full-time Employee Benefits: * 401k matching * 100% employer-paid health, vision, and dental benefits * Unlimited PTO and sick time * Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. We are looking for a Senior Machine Learning Engineer to join the Machine Learning Features team within Block's Machine Learning Platform. This team is responsible for developing and maintaining the systems that compute and serve millions of ML features every day, powering Machine Learning models across Block. As a senior engineer, you will help scale our high-demand ML feature pipelines and services to meet the needs of teams across Cash App, Square, Afterpay, and more. You will also contribute to the design and development of a groundbreaking new ML feature system, aimed at redefining how Machine Learning features are computed and delivered at scale. At Block, you'll be part of a collaborative, forward-thinking team that is shaping the future of Machine Learning infrastructure. The systems you build will directly empower ML teams across multiple business units, impacting millions of users worldwide. If you're excited about working at the intersection of large-scale distributed systems and Machine Learning, we'd love to hear from you. • Own and maintain mission-critical ML feature computation and serving systems that support millions of daily feature requests, • Design and build the next-generation ML feature platform to enable faster iteration and higher-quality ML models across Block, • Partner closely with Data Scientists, ML Modelers and Software Engineers to deliver reliable, performant, and scalable systems, • Drive architectural decisions, system reliability improvements, and infrastructure automation, • Mentor and guide other engineers on best practices in large-scale distributed systems, feature engineering, and ML infrastructure, • Champion engineering excellence through code reviews, technical documentation, and continuous improvement, • 5+ years of experience in software engineering, with at least 3+ in large-scale data or ML infrastructure, • Strong proficiency in programming languages such as Java, Python, Kotlin or Go, • Experience building and operating distributed data systems at scale (e.g., Spark, Flink, Kafka, Databricks, Snowflake), • Proven ability to design for high performance, scalability, and reliability, • Deep knowledge of cloud infrastructure (AWS, GCP) and containerized systems (Kubernetes, Docker), • Strong collaboration skills and ability to work cross-functionally with ML practitioners and infrastructure engineers, • Experience mentoring junior engineers and driving technical direction on complex projects, • Familiarity with ML workflows, platforms, and systems, • Experience building or maintaining ML batch or real-time feature systems, • Background in MLOps, experimentation platforms, or ML observability We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to identity or other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.

Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale. As the pioneer in deploying machine learning into clinical workflows, Curai Health enables its dedicated, specially trained clinicians to deliver primary care to more people at a fraction of the cost. Easy-to-use and convenient, Curai Health partners with insurers and health systems to keep patients engaged in their care over time, improving health outcomes and reducing costs. Our company is remote-first and we consider candidates across the United States. Our corporate office is located in San Francisco. Machine Learning Engineering at Curai We are looking for a Senior ML Engineer to join our AI team. Our team is responsible for Curai’s ML/automation technology. Your work will have a tremendous direct impact on provider and patient-facing ML-augmented applications, thereby providing low-friction, high-quality care to patients of Curai Health. We are primarily a text-based service and NLP is at the core of our ML work. With recent advances in large language models, we see a tremendous acceleration in capabilities. A non-trivial part of our work involves appropriately leveraging and building on top of these models thoughtfully (and with scaffolding) to our use cases and backing them up with a sound automated evaluation. In addition, we use the in-house deidentified data as robust feedback data for continuously improving the ML models. Who You Are • A self-starter and have a growth mindset, • Enjoy tackling complex problems in a scientific and data-driven way, • Thrive in ambiguity and love tackling complex problems that span multiple systems, • Enjoy thinking through trade-offs with mindfulness of near-term needs and Curai’s long-term strategy, • Are collaborative and appreciate working with people with diverse expertise What You’ll Do • You will develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference,, • Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights., • Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation., • Mentor interns and junior team members., • Interview diverse talent to build and grow a strong ML team What You’ll Need • 5+ years of industry experience in ML/NLP, including building production systems., • “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need expertise in the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops., • "Product sense" or intuition on what to build: You will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions., • Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the audience's mental models and communicating ideas crisply to diverse stakeholders will be vital to the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes., • Experience and/or interest in mentoring junior engineers. Our interview process typically consists of an initial call to meet your future manager and a technical phone call with two future teammates. The next round is a series of four technical phone calls where you meet cross-functional partners and other teammates at the company. These interviews are set up in such a way as to allow you to learn more about us (mission, product, company culture, and vision) and for us to know more about you (your superpowers and strengths). We tailor our interview process to your background and interests. What We Offer • Culture: Mission-driven talent with great colleagues committed to living our values, collaborating, and driving performance, • Pay: Competitive compensation and stock, • Wellness: Unlimited PTO, flexible working hours and remote working options, • Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave, • Financial: 401k plan with employer matching The annual base salary range for this position is between $200,000 - $240,000 annually. Stock grants also play a key part in any offer, they increase your overall compensation package significantly based on company success. Please note that the base salary range is a guideline, and individual total compensation will vary based on qualifications, skill level, competencies, and work location. Curai Health is a startup with a small but world-class team from high-tech companies, AI researchers, and practicing physicians to team members from non-traditional career paths and backgrounds. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors, including Morningside, General Catalyst, and Khosla Ventures. At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission-driven teammates, who embody our core values, and appreciate our transparent approach. \n \n Beware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at ___.

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash advance underwriting model and other machine learning use cases. The ideal candidate will have a strong background in software development, machine learning, and data engineering, with experience in deploying scalable ML models in production environments. Key Responsibilities: * ML Infrastructure and Operations: Design, build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources. Develop and manage data pipelines and workflows for machine learning models. * Model Development and Deployment: Design, develop, and implement machine learning models for underwriting and other financial service applications. Ensure models are robust, scalable, and maintainable. * Collaboration: Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. * Performance Monitoring: Monitor and evaluate the performance of deployed models, ensuring they meet the desired accuracy and efficiency metrics. Implement processes for continuous improvement and optimization of models. * A/B Testing and Experimentation: Design and implement experiments to optimize models and ensure they align with business goals. * Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of learning and growth within the team. Qualifications: * Educational Background: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree preferred. * Experience: Minimum of 3 years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments. * Technical Skills: * Proficiency in programming languages such as Python or Ruby. * Strong understanding of data structures, algorithms, and software design principles. * Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). * Familiarity with MLOps practices and tools for continuous integration and deployment of ML models. * Experience with cloud services (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes). * Analytical Skills: Strong problem-solving skills with the ability to analyze complex data sets, apply advanced data science techniques, and derive actionable insights. Proficient in building predictive models, performing statistical analysis, and utilizing machine learning algorithms to identify trends, patterns, and opportunities for optimization. * Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. What we’re like: • Scrappy. We had a product goal and put out the MVP, collecting our first users with steady growth via paid channels in four months. We don’t cut corners when we know we’ll need them but we don’t build things without that need. We don’t like inefficiency but we dislike operationalizing one-off tasks even more., • Risk-oriented. Everything has risk, but a mature team knows how to make these tradeoffs. That’s why we built the MVP fast––because time is your most valuable asset and is practically fungible with money in the startup world., • Data-obsessed. We all look at data and pull it, and we believe that understanding the mechanics can yield valuable insights. Complex systems require elegant, not just simple solutions. You absolutely need to be interested in data if you want to leverage your knowledge of systems., • Lucky. That’s how we look at this journey so far. From our timing of fundraising, to the circumstances in which we came together, to the initial product traction we’re getting, there’s no other word to describe it. We are grateful you are reading this, and we know that if you’re meant to be with us on this journey, then we will see you soon. About Kikoff: Kikoff is a personal finance platform designed to help millions of underserved Americans achieve financial wellness. Our mission is to provide refreshingly fair, effective, and simple pathways for everyday people to meet their financial goals. We design financial products that simplify credit building so our users can reach their financial goals. Kikoff is a Series B company and has raised over $42 million in total funding. Investors include Portage Ventures, Lightspeed Venture Partners, GGV, Coatue, Core Innovation Capital, and basketball star Stephen Curry. Kikoff was founded in 2019 and is headquartered in San Francisco with an office in Reno. Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We are backed by some of Silicon Valley’s top VCs. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact. 🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee! 📈 Stock Options 🏝 Generous unlimited vacation policy to help you recharge 💰 US salary range for this full-time position consists of base + equity + benefits Visa sponsorship available: Kikoff is willing to provide sponsorship for H1-B visas and U.S. green cards for exceptional talent. Equal Employment Opportunity Statement: Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected ___ ___ reference the following information for more information:___ If you need reasonable accommodation for a job opening please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, Kikoff will consider for employment qualified applicants with arrest and conviction records.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines. \n Responsibilities • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed, • Write and maintain scalable, performant and secure code that can be shared across platforms, • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements, • Improve engineering standards, tooling, processes and security, • Develop novel, accurate, and performant ML algorithms for use at scale, • Conduct metric-driven research experiments to improve model performance, • Provide mentorship to and help onboard junior ML engineers, • Collaborate cross-functionally with other teams, • Utilize OWASP top 10 techniques to secure code from vulnerabilities, • Maintain awareness of industry best practices for data maintenance handling as it relates to your role, • Adhere to policies, guidelines and procedures pertaining to the protection of information assets, • Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements • You have a Bachelor's Degree in computer science or a related field, • You have a minimum of 5 years of building production scale ML models, • You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow, • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis, • You have experience writing code and training across distributed systems, • You have an ability to understand and make well-reasoned tradeoffs in designing features, • You can lead end to end development of new products, • You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP, • You strongly believe in high code quality, automated testing, and other engineering best practices, • You have attention to detail and a passion for correctness, • You are comfortable with ambiguity and scoping solutions with your teammates, • You have strong interpersonal and communication skills with a bias towards action \n Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team: Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team – delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences Role Overview: We are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience. Tech Stack: Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: * Languages: Python, Golang, Scala, Ruby on Rails * Orchestration & Pipelines: Airflow, Databricks, Spark * ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc. * APIs & Integration: HTTP APIs, gRPC * Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform. Key Responsibilities: * Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems. * Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services. * Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI. * Conduct model experimentation, A/B testing, and performance analysis to guide production deployment. * Optimize and refactor existing systems for performance, scalability, and reliability. * Ensure data accuracy, integrity, and quality through automated validation and monitoring. * Participate in code reviews and uphold engineering best practices. * Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring. Requirements: Must Have * 3+ years of experience as a professional software or machine learning engineer. * Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). * Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. * Experience working with systems at scale and deploying to production environments. * Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda. * Strong understanding of ML model trade-offs, scaling considerations, and performance optimization. * Bachelor’s in Computer Science or equivalent professional experience. Nice to Have * Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration. * Experience with feature stores, model serving & monitoring platforms, and experimentation systems. * Familiarity with large-scale system design for ML. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $T103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. * Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees * 12 weeks paid parental leave * Short-term/long-term disability plans * 401k/RSP matching * Onboarding stipend for home office peripherals + accessories * Learning & Development allowance * Learning & Development programs * Quarterly stipend for Wellness, WiFi, etc. * Mental Health support & resources * Free subscription to the Scribd Inc. suite of products * Referral Bonuses * Book Benefit * Sabbaticals * Company-wide events * Team engagement budgets * Vacation & Personal Days * Paid Holidays (+ winter break) * Flexible Sick Time * Volunteer Day * Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. * Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ___ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Modal is building the serverless compute platform to support the next generation of AI companies. We have deeply technical roots and have built up a significant amount of proprietary infrastructure—including our own custom file system, container runtime, scheduler, container image builder, and more—to craft a world-class developer product. We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. ___, ___), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. Modal builds AI infrastructure products that developers love. That's how we grew so quickly. Word-of-mouth remains one of our most important channels today, and we're looking to hire the first few developer relations engineers who will be able to help scale this out. From ___ to ___ to ___, we want to meet developers through any medium and empower them to ship novel AI products. In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also be a trusted resource for them when it comes to implementing new AI technologies. In this role, you will: * Ship high-quality technical content (videos, cookbooks, integrations, creative mini-apps) that helps developers see the value of Modal for various AI use cases. * Distill the latest open-source advancements in AI technology and educate developers on how to incorporate them. * Give demos/talks about Modal and adjacent AI technology at developer events. * Engage with users in our community, both online (X, Reddit, Slack) and at in-person events. * Embed yourself in the AI ecosystem. Build relationships, integrations, and joint marketing activities with other developer-focused AI companies (including model and framework builders). * Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on. We are looking for someone who: * Has 3+ years experience as a software engineer, with at least 1 year experience as an ML engineer. * Is energized by the AI developer community and wants to help developers adopt new technologies. * Loves teaching. * Has excellent technical communication skills. * Is metrics-driven and takes quantitative approaches to prioritizing initiatives. * Is excited about working in-person in the SF office. * Bonus: you're not afraid to think outside the box when it comes to compelling technical content. * Bonus: you already have a developer following on social media!

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs when needed. * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * You have experience with AI and ML, with additional proficiency in Python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Console is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary. Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end. We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels. As an Applied AI Engineer at Console, you’ll work on the core agent loop and the many AI flows that make our product feel like magic. You will work closely with the product team and leadership to ship experiences which delight users and "just work". Some examples of work you might do: * Building a copilot agent that human agents can delegate work to and get 10x more done * Architecting product flows that collect user feedback and feed into online evals for rapid iteration * Learning from unresolved tickets and suggesting new automations to customers automatically You'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision. This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees. * You're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customers * You have great taste; you understand that the best AI experiences feel great to use and you care deeply about getting the details right * You carefully study data to discover qualitative insights from individual traces and can build quantitative systems to evaluate performance at scale * You're immersed in the world of frontier AI and constantly learning about effective AI architecture * You've worked on AI systems with real usage and know how to iterate effectively on production agents * 4+ years of full-time software engineering experience, with a recent focus on applied AI product engineering * Comfortable working and contributing across the entire stack (Typescript/Node/React) * Obsessed with building incredible product experiences for users, and never happy with "good enough" * Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. * World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased. * Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up. * Competitive pay and benefits: top compensation with full benefits including: * Equity with early exercise & QSBS eligibility * Comprehensive health, dental, and vision insurance * Unlimited PTO * 401(k) * Meals provided daily in office

Experience with embedded systems software development is required. Demo of working software projects in the areas of ML or CV is a big plus. The ideal candidate will have a strong background in machine learning and system software engineering, with a focus on developing algorithms for multi-modal me

Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant.

Software Engineer with experience in machine learning. Demonstrated experience in deploying machine learning models into production environments. A positive attitude towards taking responsibility, learning new tools and technologies, and making immediate contributions to the product.

Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Senior Software Engineer - Infrastructure. As a Senior Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems an

Data Engineer or Backend/Data-focused Software Engineer working on production data systems. Comfort collaborating with cross-functional partners from engineering, operations, regulatory teams, and commercial teams. We're looking for a Data Engineer to build and scale the data infrastructure powering

Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world’s fastest-evolving online threats. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing quickly. If you’re driven to solve real-world problems with the latest technologies, we’d love to meet you. What We're Building We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We’re looking for an experienced backend engineer to build and scale an automated system to manage a variety of Security Analyst tasks. We aim to verify and neutralize threats in minutes using AI-driven automation. A few examples of the work we’ve done recently: * Built a sophisticated LLM engine to reduce verification workloads by 4x for the highest volume product line, which will enable faster takedowns at scale * Built a QA & data labeling tool to close the feedback loop with human analysts, ML models, and LLM agents As part of our SF team (in-office min 3x/week), you’ll: * Play a critical role in building systems that protect billions of people from AI-generated scams and general digital harm * Have complete end to end ownership - from directly collecting product requirements to continuously evaluating and iterating on shipped releases * Mentor junior engineers, foster a high-performing team culture, and shape the team roadmap * Enjoy monthly in-person dinners, happy hours, and social activities (Exploratorium, Valkyries game, etc.) What We Offer 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density 🍽️ Free lunch and dinner in the office 🌴 Flexible PTO ✈️ Quarterly team offsites Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents—paired with expert human analysts—to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We’re not just another cybersecurity company. We’re defining the future of social engineering defense—where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year., • An excellent retirement savings plan with a high employer contribution., • Tuition reimbursement, the ___ student debt program, and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Alameda, CA location in the Diabetes Care division where we are focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. The Senior Reliability Engineer is an individual contributor with deep expertise in electrical engineering, software development principles, and project management. This role executes highly complex investigations and projects, adapting traditional approaches to develop innovative solutions. The position is responsible for designing and maintaining programs for systematic monitoring and evaluation of product reliability and quality standards, ensuring compliance with regulatory and internal requirements. This is an onsite opportunity in Alameda, CA. What You’ll Work On * Perform detailed failure analysis investigations on returned ADC products (readers and sensors), including hardware and embedded software components. * Lead and support medium-sized projects, applying project management methodologies to ensure timely completion. * Collaborate with cross-functional teams to address recurring reliability issues in both hardware and software domains. * Conduct sustaining activities such as process improvements, tooling updates, and software reliability enhancements. * Apply quality principles and perform complex analysis of quality records and reports to recommend improvements. * Document reliability issues and performance measures for management review. * Provide technical guidance to engineers in the lab and mentor on best practices for hardware/software integration. * Liaise with external vendors and internal design teams to resolve technical challenges. Required Qualifications Associate’s Degree Minimum 4 years in an FDA/ISO-regulated environment. Proven experience in product failure analysis, hardware/software integration, and reliability investigations. Strong knowledge of embedded systems, firmware debugging, and electrical design principles. Familiarity with software development lifecycle (SDLC) and reliability testing for software components. Excellent problem-solving and critical thinking skills. Ability to manage complex technical investigations and adapt solutions. Preferred Qualifications Bachelor’s degree in Electrical Engineering with emphasis on Software Engineering. Certifications: PMP, Six Sigma, or equivalent preferred. Technical Tools: C/C++, Python, LabVIEW, reliability modeling tools, and project management software. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on LinkedIn at ___, and on Facebook at ___ The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Software Complaint Investigation Engineer Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year., • An excellent retirement savings plan with a high employer contribution, • Tuition reimbursement, the ___ student debt program, and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Conduct investigation on customer-reported software application issues to ensure the reliability and safety of medical device software products. Perform thorough testing of mobile and web applications according to procedures to replicate the issues and identify potential root causes when confirmed. • Collaborate with various teams and key stakeholders to address existing issues and prevent future problems. Support as needed the development and implementation of continuous improvements for on-market products and overall processes by providing input based on learnings from investigations, ultimately enhancing the overall quality and performance of the products. What You’ll Work On • Conduct investigation activities of complaints related to software applications (mobile and web apps), ensuring that the equipment is appropriately installed and maintained and that complaint investigations are completed according to procedures, in a timely manner, ensuring appropriate prioritization., • Meet division goals for timeliness of complaint investigations and identify opportunities for improvement and/or better efficiencies in our investigation process., • Ensure the accuracy, quality, and timeliness of the documentation of any activities carried out to meet objectives, including providing data requested by management, utilizing software applications, computers, and databases, in accordance with ADC requirements and applicable regulations., • Support the development and establishment of investigation procedures and troubleshooting methodologies, replication strategies, and steps for more complex issues that will lead to consistent investigations., • Develop metrics that assess the effectiveness of the complaints’ investigation process of software-related issues., • Engage in effective verbal and written communications within the team and cross-functionally, including communicating trends and analysis to key stakeholders, and suggest changes to promote efficiency and improvements., • Keep up to date with the development of new products and through collaboration with peers within the complaints team and across the business, support activities required for complaint readiness prior to product launch, including support for validation activities and post-launch sustaining., • Monitor activities performed, reporting any adverse trends identified, including communication of emerging issues to management and relevant subject matter experts (SME), and participate in developing solutions as needed., • Work effectively with other team members and managers at all levels in a manner that supports ADC core values and behaviors., • When needed, handle multiple tasks effectively and efficiently in a team environment with minimal supervision., • Support a work environment that ensures team effectiveness by ensuring support for fellow peers and other areas of the Complaint Handling Group to meet their objectives, in alignment with site/division priorities., • Ensure the area of responsibility is audit-ready at all times and be the SME for the area of responsibility to support audit situations., • Proactively recommend improvements in terms of efficiency, cost savings through complaint process improvements, and data quality, in line with Business Excellence initiatives. Required Qualifications • Bachelors Degree in Computer Science, Software Engineering, Information Technology, or similar, equivalent combination of education and work experience, • Minimum of 3 years of experience in Software Testing Preferred Qualifications • Experience in testing mobile/web applications (ideally in medical device industry)., • Experience in writing, implementing and following procedures., • Experience in Good Manufacturing Practice (GMP)., • Experience working autonomously and with minimal supervision., • Computer proficiency, with expert knowledge of software packages, including Word and Excel.. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___, and on Twitter @AbbottNews. Divisional Information Medical Devices General Medical Devices: Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. Diabetes We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. The base pay for this position is $79,500.00 – $138,700.00. In specific locations, the pay range may vary from the range posted.

Senior Software Engineer – Scaling AI/FinTech Product Full-time · On-site (San Francisco, CA) $175k–$250k + equity A high-growth VC-backed startup in the AI-driven fintech space is looking for experienced Senior Software Engineers to help expand and harden a platform used by major property and financial services organisations. The company has doubled revenue over the past year and is onboarding increasingly large customers — and now needs strong engineers who can build new product features, improve stability, and help evolve the system beyond its early-stage architecture. You’ll work closely with the CTO, senior ICs, and ML/infra specialists, contributing across the stack depending on your strengths. This is a role for someone who enjoys ownership, speed, and solving difficult engineering problems rather than sitting in a narrow product lane. What You’ll Work On Build and ship high-impact product features • Deliver features across backend, frontend or full-stack depending on experience., • Contribute directly to flows involving document analysis, fraud detection, and application processing., • Improve automation, reliability and customer onboarding capabilities. Strengthen and modernise the platform • Participate in refactoring, cleanup, and architectural stabilisation as the system matures., • Improve code quality, observability, and long-term maintainability., • Help prepare the codebase to support a much larger engineering organisation (20–40+ engineers over time). Collaborate across the engineering organisation • Partner with the CTO and Staff Engineers on core initiatives., • Work with ML and infra teams when projects touch model outputs, document processing, or backend systems., • Join technical discussions, debugging sessions, and design reviews. What They’re Looking For • 4–8 years’ experience in software engineering., • Experience shipping production features in TypeScript/React, Node.js, Python or similar modern stacks., • Background in a high-growth startup (Seed → A → B) or an environment where the engineering organisation scaled materially., • Comfort working in fast-moving, ambiguous environments with evolving product needs., • Evidence of increasing responsibility — promotions, expanded scope, ownership of meaningful projects. Tech Environment • Frontend: TypeScript, React, • Backend: Node.js, Python, • Infrastructure: GCP, • Databases: Postgres, BigQuery, • On-site in San Francisco preferred; hybrid possible for exceptional candidates. Why This Role Stands Out • Join a business with real revenue, strong growth, and top-tier backing., • Build systems used in the real world by major property and lending organisations., • Work directly with a very capable CTO and senior ICs who genuinely care about engineering quality., • Make tangible impact across the stack — not just incremental feature work., • Strong compensation package: competitive salary + meaningful equity.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we’re building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle—from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement • Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions, • Conduct training sessions and develop enablement materials tailored to customer needs, • Proactively identify opportunities for customers to maximize platform value, • Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support • Provide hands-on support for solution setup and configuration within customer environments, • Support API and system integrations with existing customer infrastructure, • Diagnose and resolve technical issues, collaborating with engineering teams on complex problems, • Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support • Support the sales team with domain expertise and technical credibility, • Demonstrate technical capabilities and solution fit during the sales process, • Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration • Gather customer feedback and relay insights to product and engineering teams, • Reduce workload on core engineering teams by handling customer-facing technical work, • Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: • Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies, • Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles, • Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking), • Proficiency with Kubernetes for deploying, scaling, and managing containerized applications, • Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles, • Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: • Experience with additional programming languages (PyTorch, Rust, Go), • Familiarity with cloud platforms (AWS, Azure, GCP), • Experience with OpenStack and/or Slurm, • Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching), • Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand), • Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks, • Experience with kernel debugging, • Experience with LLM deployments, even at small scale, • Background in infrastructure design, SLAs, system design, and incident response, • Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks –because great work deserves great rewards. Work on your terms – flexible hours and remote-friendly culture. Fast lanes, no red tape – flat hierarchies and rapid decision-making Make it happen - your ideas aren’t just heard – they become reality. Right place, right time –be part of our growth story and build a career-defining legacy. Globality design – work with a diverse, international team across Germany and the US. Work with the best – work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

Role Overview We’re seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You’ll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities • Architect, build, and maintain backend services using Python (FastAPI, Flask, Django), • Design and implement dynamic and responsive frontends using React.js and/or Vue.js, • Create and consume RESTful and GraphQL APIs, • Build reusable components and libraries for frontend use, • Collaborate across teams to gather requirements, define solutions, and ensure quality, • Optimize performance and scalability of applications, • Write unit, integration, and end-to-end tests across the stack, • 5+ years of experience in full stack development, • M.S. degree in relevant domain required, • Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django), • Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand), • Experience with Vue.js or interest in working across multiple frontend frameworks, • Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint, • Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design, • Strong understanding of RESTful services, API security, and performance optimization, • Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis), • Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI), • Familiarity with TypeScript, • Experience with cloud platforms (AWS, GCP, or Azure), • Experience with Docker, Kubernetes, or container orchestration, • GraphQL and Apollo Client experience, • Familiarity with microservice architecture, • Experience working with real-time data (WebSockets, MQTT)

🔥 We’re Hiring: Frontend Software Engineer – Chalk hackajob has partnered with a forward-thinking tech-driven business that prioritizes innovation in its digital solutions and leverages extensive industry data to drive impactful results. We’re supporting Chalk in hiring a Frontend Software Engineer to help shape the next generation of their user-facing products. This is an excellent opportunity for engineers who love modern JavaScript ecosystems, frontend architecture, and cross-functional collaboration across full-stack teams. 💡 What You’ll Work On You’ll play a key role in designing and implementing scalable frontend features, optimizing user experiences, and contributing to technical architecture. This role is ideal for engineers who enjoy building elegant interfaces powered by TypeScript, React, Python, and Go services. 📍 Locations (Onsite – 50-mile radius) you MUST be located in: • San Francisco, CA OR • New York, NY ✅ Essential Skills • Frontend Software Engineering, • TypeScript with React, • Python and Go experience, • Strong frontend architecture skills 🎯 Experience Levels • 2 - 6+ years If you're passionate about building delightful and scalable frontend systems, we’d love to hear from you.

Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I’m partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn’t a traditional DevOps or SRE position - it’s a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You’ll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they’re robust, secure, and infinitely scalable. What You’ll Be Doing: • Take internal Node.js/TypeScript systems and deploy them to production on AWS, • Build and manage the infrastructure that powers scalable AI products, • Productionize backend systems for performance, reliability, and observability, • Implement containerization (Docker, ECS) and contribute to architecture decisions, • Work closely with engineers to expose APIs and backend data for front-end integration What They’re Looking For: • 5+ years of backend software engineering experience (Node.js, TypeScript, APIs), • Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.), • Proven track record deploying and scaling backend systems in production, • Comfortable with databases, containerization, and CI/CD workflows, • Experience in startup or small-team environments where you’ve owned the full lifecycle Nice to Have: • Experience with queueing systems (Kafka, SQS) or serverless architectures, • Background building AI-powered or large-scale web systems, • Familiarity with performance monitoring and distributed systems You’ll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you’re an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I’ll reach out with details.

Founding Engineer - Applied AI Strativ are assembling the Founding Engineering team for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain. This is not another incremental SaaS tool. You’ll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You’ll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir’s early mission. If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment. Key skills/experience required; • 3+ years' experience in Software Engineering, • Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.)., • Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools), • Understanding of distributed systems, microservices, and event-driven architectures, • MS / BS in CS or similar Please apply ASAP for more info.

Top technology incubator focused on building and investing in generation-defining companies are looking for a CTO with 7+ years experience to serve as their senior-most technical leader. This role is for a founder-CTO type who has built and scaled products from zero to one and from one to many. We are looking for someone equally comfortable in the boardroom and hands-on keyboard, who will own the technology strategy for the platform, build and lead internal teams, and work directly with founders and operators across the firms portfolio. What will you be doing? • Set a unified technology strategy, • Partner with founders in incubation and early-stage ventures on product, architecture, and early technical hiring., • Architect shared systems, data infrastructure, and internal tools used across operating companies., • Drive the development of AI agents, automation workflows, and vertical AI tools for real businesses., • Build and lead a cross-functional team spanning software engineering, AI/ML, data, and product. What we’re looking for: • Bachelor or Masters degree from a top 30 university in Computer Science or similar, • 7+ years of experience as CTO, VP of Engineering, or Founding Engineer at a high- growth start-up or medium-sized technology company, • Experience in incubators or venture studios, • Deep expertise in software architecture, distributed systems, and/or data platforms., • Meaningful experience with AI/ML and modern LLM ecosystems., • Networks in top- tier engineering and AI/ML talent pools. This would predominantly be an onsite role in either San Francisco or New York. Compensation is highly competitive and contingent on experience. Will include competitive equity.

Senior Infrastructure Engineer Full-time | On-site (San Francisco) $200K + meaningful equity We’re hiring a Senior Infrastructure Engineer to help build and run the infrastructure behind a next-generation enterprise AI platform. You’ll take ownership of deployment architecture, automation, and reliability across multiple customer environments, working closely with engineering and forward-deployed teams to ensure smooth delivery of our product at scale. This is a hands-on role for someone who enjoys deep technical work, solving complex infrastructure challenges, and shaping how a modern AI platform is deployed into large organisations. What you’ll be doing • Designing and operating containerised environments using tools such as Docker and AWS orchestration services., • Building and maintaining infrastructure-as-code modules to automate customer deployments., • Handling configuration, rollout, upgrades, and troubleshooting across cloud and hybrid environments., • Diagnosing and resolving high-impact issues quickly to keep customer projects on track., • Feeding insights from real implementations back into the product to help improve performance, scalability, and reliability., • Working with customer engineering teams to ensure deployments align with security and compliance requirements. What you’ll bring • Strong background in infrastructure engineering, DevOps, or platform engineering (5+ years)., • Hands-on experience with AWS services (e.g., container orchestration, networking, storage, and secrets management)., • Deep knowledge of Docker and Terraform, plus a passion for automation., • Experience working in multi-environment or multi-tenant SaaS setups., • Familiarity with authentication technologies (OIDC/OAuth/SAML), secrets management, and secure deployment practices., • Ability to communicate clearly with both internal teams and enterprise technical stakeholders. Nice to have • Experience supporting deployments into highly regulated or security-focused organisations., • Exposure to on-prem or hybrid-cloud software delivery., • Understanding of modern backend stacks (Python, FastAPI), databases, or event-driven systems. Why join You’ll be part of a small, fast-moving team building production-grade AI technology used by large, well-known enterprises. We ship quickly, work collaboratively, and value engineers who take ownership and enjoy solving problems that haven’t been solved before. If you’re excited by the idea of shaping infrastructure for a cutting-edge AI platform—and want your work to have immediate impact—we’d love to speak with you.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We’re looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you’ll take ownership of our cloud infrastructure and delivery pipelines. You’ll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities • Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery., • Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP., • Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools., • Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog)., • Optimize cloud costs, security, and performance across multiple environments., • Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes., • Drive incident response processes and improve system reliability (SRE principles)., • Mentor junior DevOps and software engineers on automation and cloud operations. Requirements • 7+ years of hands-on DevOps or Site Reliability Engineering experience., • Proven expertise in AWS, Azure, or GCP cloud infrastructure., • Strong experience with Kubernetes and container orchestration at scale., • Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI)., • Strong scripting and automation skills (Python, Bash, or Go preferred)., • Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible)., • Excellent grasp of cloud security, networking, and system observability., • Experience leading projects or mentoring engineering teams. Nice to Have • Experience with service mesh, serverless, or multi-cloud deployments., • Background in performance optimization, disaster recovery, or SRE practices., • Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

About General Medicine As a software engineer at General Medicine, you’ll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we’re looking for We’re looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We’re looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly — we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA — no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don’t expect you to have a healthcare background (though it’s great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications • 2+ years of experience building web apps as a full-stack engineer, • Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn’t the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We’re an experienced team that has built a company in this space before, our product has clear product-market fit, and we’ve raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you’re an ambitious and entrepreneurial software engineer and this resonates, please apply.

About the Company Pegasus Solar is the fastest-growing provider of proprietary solar mounting hardware and project design software in the U.S. In 2025, we’ll manufacture and ship more than 13 million parts — with a Pegasus system installed once per minute. We’re a tight-knit, high-impact team driven to accelerate the widespread adoption of solar by making it simpler, faster, and better. Founded in 2012, Pegasus partners with installers to design and engineer products that improve installation efficiency and long-term reliability. With 130+ patents issued/pending and installations on over 350,000 buildings, Pegasus continues to set the standard for innovation and reliability in solar. Our mission is to give installers a better day on the job — and system owners a better product for life. If you’re passionate about clean energy, innovation, and scaling world-class hardware, this is where you’ll make an impact. About the Role As a NPI Manager, you’ll help manage Pegasus products from concept through mass production — coordinating product requirements, customer feedback, and development and launch schedules. You’ll collaborate across engineering, manufacturing, sales, and field to bring high-quality, manufacturable products to market efficiently and at scale. The position reports directly to the CEO/CTO. You’ll use your technical background and product management experience to turn ideas into durable, cost-effective solutions that improve solar installation and accelerate clean energy adoption. We’re looking for someone who has a technical acumen on how to manage a new product to launch, and less about the specific attributes of the product. Responsibilities • Manage and continually improve upon the full stage-gate process for new products — from ideation, and prototyping to supplier DFM, pilot runs, and full-scale production., • Manage product launch schedules and deliverables to keep projects on track and within scope using Asana or similar project management tools., • Own Product Requirement and Market Requirement documents, collecting and summarizing inputs from customers, sales, field, manufacturing, and engineering teams., • Coordinate product trials and customer reviews and with design engineering team and assimilate feedback into actionable next steps., • Partner with engineering, manufacturing, marketing and sales to ensure seamless product launches and lifecycle management. Qualifications • Bachelor’s degree in Mechanical, Electrical, or Industrial Engineering (or related field). Required Skills • 5+ years experience managing mechanical or hardware products through the NPI process., • Experience bringing multiple products to market on time and in coordination cross-functional teams., • Experience and familiarity with high volume manufacturing processes, such as stamping, roll forming, die casting, extrusions, etc., • Strong analytical, problem-solving, and communication skills., • Experience with Asana, Slack, and MS Office (or equivalent tools). Preferred Skills • None specified. Pay range and compensation package Competitive Salary/Benefits package Equal Opportunity Statement At Pegasus, your work directly impacts the speed and simplicity of solar adoption. You’ll join a team that values creativity, precision, and collaboration — and you’ll help shape the next generation of solar hardware.

Quantum Computing Advisor Type: Part-Time Advisory Role Location: Remote (preferred) Team: Scientific Simulation and Infrastructure Strategy Compensation: Equity + advisory stipend + high-impact leadership trajectory Company Vision: Our client's vision is to engineer the next step in human evolution - the emergence of Human 2.0, a species with drastically extended healthspan and enhanced intelligence. We are building an AI-powered end-to-end drug development simulator that unifies biological, chemical, and mathematical data across the pharmaceutical pipeline - from discovery through clinical and regulatory phases - accessible through intelligent, natural-language interfaces. In the near term, we aim to deliver a proof of concept within 6 months, demonstrating the feasibility of this unified simulation platform, paving the way for large-scale institutional funding and team expansion. Role Overview The client is seeking a Quantum Computing and Cheminformatics Advisor to pioneer the integration of quantum computation and ML-driven molecular modeling within their simulation engine. This role combines quantum algorithmic innovation, AI-based molecular modeling, and strategic infrastructure planning to accelerate molecular discovery and simulation. You will collaborate across disciplines - quantum computing, AI, and computational chemistry - to guide both technical design and long-term scientific strategy. This is a high-impact, leadership-track position ideal for a visionary scientist aiming to grow into a CTO or CSO role in a deep-tech company. Responsibilities: • Conduct innovative research combining quantum computing and ML-driven cheminformatics for molecular modeling and property prediction., • Develop and apply machine learning models to accelerate molecular and materials discovery (e.g., drug design, catalysis, energy materials)., • Collaborate with quantum algorithm experts and internal AI teams to integrate hybrid quantum–classical workflows., • Advise on vendor selection, performance benchmarking, and platform integration for quantum computing providers., • Lead development of scalable quantum simulation infrastructure, including planning for in-house quantum systems., • Serve as a technical and scientific lead, communicating findings through reports, publications, and presentations., • Stay abreast of advancements in AI, computational chemistry, and quantum computing, identifying opportunities for platform enhancement. Qualifications: Required: • Experience with quantum computing hardware and software ecosystems (e.g., IBM, IonQ, Qiskit, Pennylane)., • Masters or Ph.D. in computational chemistry/physics, materials science, cheminformatics or related field with strong focus on machine learning for molecular modeling or materials discovery, • Hands-on experience developing and applying ML models in cheminformatics, drug design, or materials science., • Proficiency in Python and ML/scientific libraries (TensorFlow, PyTorch, scikit-learn)., • Demonstrated ability to design integrated ML–molecular modeling workflows and publish in peer-reviewed venues. Preferred: • Experience with quantum chemistry and molecular modeling techniques (e.g., DFT, UCCSD, molecular dynamics)., • Familiarity with property prediction, molecular fingerprints, and generative AI for materials or drug discovery., • Exposure to GPU-accelerated ML, high-performance computing, or hybrid quantum–classical simulations., • Prior leadership in computational R&D, scientific collaboration, or platform design., • What You Get, • Founding-level equity in a high-upside, deep-technology venture., • Opportunity to define the quantum-AI architecture of one of the world’s most advanced simulation platforms., • Clear leadership trajectory toward CTO or CSO roles., • Full remote flexibility, with plans for a US-based HQ post-funding.