AI Data Science & Analytics Jobs

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Senior Product Designer About Durable:  Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. About the Role As a Senior Product Designer, you’ll play a critical role in shaping Durable’s core user experience. You’ll lead the design of intelligent, AI-native systems that feel proactive, intuitive, and approachable. This isn’t a traditional SaaS design role, you’ll be inventing new patterns for interacting with AI, simplifying complex tasks into beautiful flows, and helping small business owners feel empowered by AI, not afraid of it. You’ll work cross-functionally with product, engineering, and leadership to define what great AI UX looks like and set the standard for how we build it. You’ll be a force multiplier for the design team: guiding others, raising the bar, and delivering work that moves the business forward. This is a high-impact, high-autonomy role for someone who wants to define the future of AI product design. What You'll Do:  Own design of major AI features — from concept to polished production. You’ll lead the design of AI-first experiences such as asset generation, multi-modal interactions, and agentic workflows. Think like a product owner — not just shipping pixels, but influencing what we build and why. You’ll work closely with PMs, engineers, and researchers to shape product strategy. Design multimodal experiences — text, voice, image, sms. You’ll design experience not limited to just traditional UI in the browser. You’ll explore new interaction models that make AI feel natural and trustworthy. Create systems that scale — develop component libraries, design patterns, and best practices for how AI should behave and feel across the product. Prototype fast and often — spend less time in Figma and more time prototyping with code to craft beautifully detailed interactions and impactful AI-first experiences. You Might Be a Fit If You:  Have 5+ years of product design experience building b2b and/or consumer product experiences. Have impeccable taste, craft, and attention to detail. Have owned end-to-end product design, from research and strategy to detailed UI and visual polish. Experience with prototyping with code, even vibe-coding. Think in terms of outcomes, not just features. You design to drive impact, not just ship. Can operate independently while collaborating deeply with cross-functional peers. Thrive in ambiguity. You’re excited to go from rough idea to live product and to build things that haven’t existed before. Bonus Points:  Experience building AI native experiences, prompt design, and/or multi-modal interfaces. Comfortable working in code, or collaborating tightly with engineers. Startup experience or having launched your own product or business. Why Join Us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid Flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Thursdays are our in-office anchor day. Comprehensive Benefits: Health and dental coverage to support your well-being. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Location:  This is a hybrid role, based in Vancouver. We have two in-office anchor days, Mondays and Thursdays. Team members are welcome to spend additional days in the office to collaborate in person. Compensation:  Base salary range $180,000 - 210,000 CAD, plus equity.   

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Chief of Staff to the CEO, you will operate as a force multiplier — helping drive the company’s most important relationships, decisions, and internal priorities forward. You will work across the entire organization, with visibility into everything from product strategy to go-to-market execution to investor management. You will sit in on the CEO’s meetings, manage information flow, coordinate follow-through, and step in wherever necessary to make sure high-leverage work gets done. This is a highly trusted role, central to ensuring Tandem moves fast, stays aligned, and operates with focus.You will be expected to build deep context on our business, our evolving goals, and the broader ecosystem in which we operate. You will manage communication and prioritization, help prepare for and run key meetings, track actions and decisions, and own urgent cross-functional projects that don’t neatly fall into anyone else’s lane. This is a role for someone with both generalist horsepower and the willingness to do whatever it takes — from high-level decision support to hands-on coordination.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hyper-organized, and excited about intense, high-trust work with a direct line to impact, we want to hear from you.If you join, you will:Own critical workflows, projects, and priorities that directly support the CEO and the company’s most important outcomesManage internal priorities, decision-making cadences, and executive workflows to ensure clarity, alignment, and follow-throughSit in on high-stakes external meetings — including with clients, investors, and partners — and ensure we prepare, follow up, and drive resultsWrite and respond to key communications on behalf of the CEO, with a focus on clarity, speed, and judgmentHelp organize and execute internal planning, goal-tracking, and leadership communication across the companyServe as a trusted problem-solver and thought partner to the CEO across business areas, decisions, and company-level executionOwn urgent, high-leverage projects that cut across functions — including GTM, operations, recruiting, and productWe’ll be most excited if you have:4–8 years of experience working in an environment that required analytical problem-solving, operational rigor, and outcome ownership (e.g., fast-growing startup, consulting, finance, a 0 -> 1 business line at a high-performing organization)Technical background and/or experience working with complex data (at minimum the role requires learning SQL and low-code tools)Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.   Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety   You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective   Strong candidates may also have experience with:  High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers The expected salary range for this position is:Annual Salary:$425,000—$560,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll DoGuide customers through the order process, serving as main customer advocate and POC throughout procurement, assembly, and handoff while being proactive about communicating any delays. Maintain detailed and continuous communication with customers, to ensure customer satisfaction, measured in CSAT and NPS surveys.  Partner across internal teams and external customer stakeholders, to understand customer needs, deliver on objectives and maximize retention and growth within customer accounts.Work cross functionally to ensure any post order issues are resolved in a timely manner.YouYou have strong written and verbal skills, you have the ability to de-escalate any situation and speak transparently to our highest tier of customers. You are process oriented and have a strong desire to work collaboratively to not only maintain a process but seek to improve upon it. You have at least 4 years prior experience working in Customer Success or equivalent department. You are an active team player, self-starter, and multitasker who can quickly adjust priorities.You are proficient with G-Suite, Salesforce, and SlackNice to HaveTechnical knowledge in manufacturing, Cloud, IT, Server, AI, ML or related fields. Knowledge of Monday, Front and VitallySalary Range Information Based on market data and other factors, the hourly range for this position is $55.00-79.00 per hour. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.  About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]    Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.   About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.

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Somite.ai is a venture-backed company transforming stem cell biology with AI.  We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million.  Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZAbout the Role:As a Machine Learning Engineer - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. Working closely with other machine learning researchers and computational biologists, you’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Somite’s cell-replacement therapy platform. This role is ideal for someone passionate about applying machine learning to solve complex biological challenges.Responsibilities:●       Drive the development of machine learning models for biological data, from research and prototyping to production deployment●       Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data●       Build scalable, distributed pipelines for training and inference across trillion-token biological datasets●       Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs, engaging deeply with biological questions and research●       Design and implement novel deep learning architectures, including transformer-based models tailored to biological dataQualifications:●       7+ years of experience in machine learning, deep learning, and large-scale data analysis, preferably in biological applications.●       Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field.●       Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.●       Proven experience building and optimizing large-scale models, including transformer-based architectures.●       Demonstrated track record of independent research and end-to-end model development, from prototyping to production.●       Passion for AI-driven biology and its potential to transform healthcare.Preferred Qualifications:●       Strongly preferred: extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data●       Strongly preferred: 3+ years of professional software engineering experience in an industry setting.●       Experience with reinforcement learning techniques such as RLHF, PPO.●       Experience in startups or fast-paced environments, with a self-directed, proactive work style.Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZBenefits:●       Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.●       Work alongside a talented and passionate team at the forefront of AI and cellular biology.●       Contribute to the development of groundbreaking therapies that address significant unmet medical needs.●       Enjoy a competitive salary and benefits package, including flexible work options.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!

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About Us:Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions.About the Role:We are looking for an Agent Architect to design, develop, and innovate the next generation of agentic systems that drive our healthcare-focused AI platform. This individual will serve as a central architect in shaping how our agents think, act, and interact across diverse clinical use cases.You will be responsible for selecting the right agentic paradigms—ranging from tool use, retrieval-augmented generation (RAG), and prompt engineering, to model training—and defining the underlying architecture for intelligent, safe, and responsive agents. You will work closely with our research, engineering, and evaluation teams to integrate cutting-edge techniques and continuously push the boundaries of agent capabilities.This role blends deep technical knowledge with strategic thinking and experimentation. It’s ideal for those who thrive at the intersection of LLM system design, product innovation, and applied AI research.Responsibilities:Architect and design new AI agents across a variety of clinical and operational use casesEvaluate and select the optimal agentic paradigm for each scenario (e.g., tools, engines, prompting, RAG, model training)Choose the appropriate models from our internal model library for specific tasksCollaborate with the research team to fine-tune models and optimize agent behaviorDefine and iterate on evaluation protocols in partnership with the evaluation teamDevelop new agent patterns and workflows to enable novel capabilities and interactionsRapidly incorporate state-of-the-art techniques from the latest scientific literature and open-source developmentsTrack and integrate capabilities from emerging foundational models to improve system performance and scopeRequired Qualifications:5+ years in a technical field such as software engineering, machine learning, data science, or AI product developmentDeep understanding of agentic system design and language model behaviorsProficiency with Python and modern ML toolingExperience building and evaluating non-deterministic AI/ML systemsStrong analytical and problem-solving skills, with an experimental mindsetFamiliarity with LLM paradigms such as prompting, RAG, fine-tuning, and tool usePreferred Skills:Experience designing agentic workflows or orchestration frameworks for LLMsBackground in AI research or exposure to cutting-edge developments in NLPAbility to translate complex technical ideas into scalable architecturesInterest in healthcare applications, patient interaction design, and safety-critical systemsExcellent written and verbal communication skills, with the ability to clearly document design decisions and evaluationsCandidate Background:We recognize that agent architecture is a novel and rapidly evolving field. Ideal candidates may come from varied backgrounds such as applied ML engineering, AI product design, prompt engineering, or even NLP-focused research roles. If you are excited about designing intelligent systems from the ground up and want to shape how LLMs interact with the world in a safe and impactful way, we encourage you to apply.Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

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About Us:Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions.About the Role: We are looking for an AI Agent Engineer to bend language models to their will. In this role, you will collaborate with engineers and research scientists to enhance the effectiveness and safety of generative AI solutions by designing, testing, and improving prompts that drive clinical safety and patient experience. You will also create automations to test your creations.  An ideal candidate is equal parts software engineer and prompt engineer, product, loves experimentation and tinkering, is extremely thorough and detail oriented, and has a passion for conversation and communication. Responsibilities:Help achieve world class performance on several safety-critical LLM applicationsCollaborate with product managers to write detailed product specs for how models should behaveHelp design agentic model workflowsUse advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.Contribute to automated model testing and evaluation infrastructureBuild automations to create and select the best prompts for any given taskConduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.Write and configure prompts to create engaging, patient-oriented conversationsRequired Qualifications:Experience (5+ years) in a technical or semi-technical field, such as engineering, analytics, data science, or product managementDemonstrated product sense and intuition for conversation designProficiency writing simple scripts in PythonFamiliarity with basic principles of machine learning, conversational AI, and Large Language ModelsPreferred Skills:Experience developing, designing, and/or interacting with non-deterministic AI/ML systemsExperience designing and conducting experiments and statistical analysis, specifically measuring and optimizing the accuracy of model outputsExperience with written language, communications and/or conversation designSoftware engineering experienceCandidate Background:Given that the field of prompt engineering is very new, we understand that it’s unlikely that you will have direct experience on your resume. While direct experience in prompt engineering is not expected, we value transferable skills that align with the responsibilities of the position. Ideal candidates might come from various related fields where they have honed relevant skills in problem-solving, analytical thinking, and written communication.You might be a good fit if you have an engineering background and have or are looking to move into a product role. Perhaps you’re a data scientist who writes on the side. Or maybe you are a conversation designer who dabbled in computational linguistics.We are looking for high-aptitude adaptive thinkers who are willing to jump in and solve new problems using a variety of technical and non-technical approaches. Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description

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About the CompanyCanals is AI for distributors. AI-powered sales order entry that automatically turns customer emails into quotes, AI-powered accounts payable that automatically turns vendor emails into payables, AI-powered PO acknowledgement processing that automatically flags discrepancies in vendor confirmations vs your POs.No templates or part numbers needed. Our AI models are trained to handle a wide range of inputs, including email text, attachments, PDFs, CSV files, images, Word documents, and even handwritten notes. "I wouldn't work anywhere without this," is what users say. With data entry off their plate, your team can focus on work that matters: growing your business.Show your customers, suppliers, and team that you’re in business for the future, with operations that are faster and more accurate than ever before.About the RoleWe have a ton to do and need help to do it. Most of our work is on the backend, and we prefer generalists. We work in node, but we don't care if you don't have lots of node experience. Learning a new technology is not an issue for strong engineers.The interview process will include DSA-style live coding challenges.Tech StackTypescript, Node, Python(For the ML)Postgres, Elastic Search.DockerAWSSveltekitTailwind.We're just looking for 2 things:Get a lot done.Get it done well.Some of the qualities you'll need to be successful here are:Sense of Urgency. We run on a level of urgency that is Uncommon.Great Technical Talent.Good judgement. Meaning that you're going to receive autonomy and you need to do the right thing.Work Ethic/Motivation. Canals isn't fit for people looking for 9-5.Why Join usAn AI product that is actually useful and not just riding the bubble.Top 1% startup measured by time to revenue. You'll receive Equity.No runway. We're profitable.No accumulating tech debt, no bureaucracy. A culture of ''Just do it'' and prioritizing the long term.No VC, no chasing the next round. Just Laser focus in building a great company.Few meeting, just 2.5hs per week per engineer.Fully remote.Interview ProcessSilver screening Interview.Silver Technical Interview.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 2+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$170K – $200K + Offers Equity

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Customer Support Engineer Location: San Francisco, CA (Hybrid) About the role: As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Qualifications 5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI  Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages. Familiarity with operating storage systems in HPC environments such as Vast and Weka Familiarity with inspecting and resolving network-related errors  Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters. Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success. Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.  Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $180K-260K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $275K + Offers Equity