About the Role We are looking for a Software Engineering Intern who will be instrumental in bringing open-source bio models onto our internal platform. You will work on the infrastructure layer that supports large-scale inference and fine-tuning pipelines, helping integrate AI models into cutting-edge biological applications. Key Responsibilities - Model Integration: Take open-source biological ML models (protein language models, DNA/RNA transformers, etc.) and implement them on our GPU-based infrastructure for real-time inference. - Infrastructure & Deployment: Containerize models in Docker and contribute to deployment workflows, ensuring high availability and efficient resource utilization. - Collaboration & Documentation: Collaborate with AI researchers, software engineers, and external partners to create clear, user-friendly documentation. This includes best practices around model usage and guidance for researchers on how to integrate models into their workflows. - Scientific Context & Model Usability: Conduct literature reviews and incorporate domain-specific knowledge to optimize models for biological applications. Help develop APIs and documentation that empower scientists to leverage these models effectively in real-world biotech scenarios. - Performance Optimization: Investigate bottlenecks and improve runtime performance of the model pipelines—e.g., distributed training, fast data loading, GPU utilization. Preferred Qualifications - Programming Skills: Proficiency in Python. Experience with one or more ML frameworks (e.g., PyTorch, TensorFlow) is highly preferred. - Software Engineering Foundations: Familiarity with version control (Git), code reviews, and a solid understanding of data structures and algorithms. - Cloud & Containerization: Some exposure to AWS, GCP, or Azure. Experience with Docker/Kubernetes for container orchestration is a plus. - Data Processing: Understanding of distributed data frameworks (e.g., Spark, Dask) and Python data libraries (Pandas, NumPy). - Biology & AI Enthusiasm: Some familiarity with life sciences (proteins, genomics, etc.) is a strong plus, and a genuine curiosity for how AI can drive biotech innovation is strongly encouraged. - Team Player & Fast Learner: Comfort working in a dynamic startup environment, with the ability to pick up new concepts quickly and communicate effectively across multidisciplinary teams. What You'll Gain - Hands-On Experience: Work on real-world AI infrastructure projects that directly impact cutting-edge biotech research. - Mentorship: Learn from a founding team with deep industry experience in both AI/ML and biotechnology. - Ownership: Interns at BioLM.ai have the opportunity to own significant portions of our codebase and make meaningful contributions. - Exposure to Biotech & ML Research: Gain insight into how advanced AI is used to solve high-impact biological problems, from drug discovery to protein engineering. If you're excited about the intersection of AI and biology, and you want to help build infrastructure that will power the next wave of biotech breakthroughs, we'd love to hear from you!

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A peek at our technical stack Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. What you’ll do - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals What you’ll need - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About Kintsugi AI Kintsugi AI is revolutionizing sales tax automation with our AI-powered platform designed specifically for e-commerce and SaaS businesses. Our solution reduces tax preparation time by 75% and cuts compliance costs by 50%, allowing finance teams to focus on strategic initiatives rather than routine calculations. As we continue to grow and disrupt the tax automation space, we're building a world-class team to help us scale with purpose. The Role We’re looking for a Support Engineer Intern to join our team and help ensure every customer gets a smooth, reliable experience with KintsugiAI. In this role, you’ll be at the intersection of engineering, customer success, and operations — investigating issues, identifying root causes, and helping implement fixes that improve system reliability and customer satisfaction. You’ll work closely with our Automations and Platform Engineering teams to understand how our AI-driven workflows operate behind the scenes, helping triage issues, validate bug reports, and build tools that streamline internal support processes. This role is ideal for someone who loves solving puzzles, communicating clearly, and learning how production systems work at scale. What You’ll Do - Investigate and diagnose customer-reported issues across Kintsugi’s automation and tax compliance workflows - Work closely with engineering teams to reproduce bugs, validate fixes, and ensure timely resolution - Build and maintain internal tools and scripts to improve support efficiency and visibility - Collaborate with Customer Success and Onboarding teams to troubleshoot integration and configuration challenges - Deep dive into data migration issues helping create sustainable motions for large and small data shapes. - Document recurring issues, common troubleshooting steps, and best practices in internal knowledge bases - Provide feedback to product and engineering on usability, reliability, and edge cases encountered in the field - Learn how to analyze logs, monitor systems, and interpret automation results in a production environment What We’re Looking For - Currently pursuing a degree in Computer Science, Engineering, or a related technical field - Strong problem-solving and analytical skills; enjoys debugging and root cause analysis - Familiarity with basic programming concepts (e.g., Python, JavaScript, or similar) - Excellent written and verbal communication — able to translate technical details into clear explanations - A collaborative mindset and eagerness to work across teams - Curiosity about SaaS systems, automation, and applied AI Bonus Points For - Experience with API debugging (Postman, curl, or similar tools) - Familiarity with logs and observability tools (e.g., Sentry, Datadog, CloudWatch) - Exposure to workflow automation tools or backend systems - Prior experience in a technical support or customer engineering environment Why You’ll Love Working Here - Hands-on experience with modern automation and AI systems - Mentorship from experienced engineers and customer support leaders - Opportunities to improve tools and processes used across the company - A mission-driven culture focused on simplifying complex financial workflows - Flexible, fast-paced startup environment where your work has immediate impact

Talkiatry is seeking a Senior Manager of AI Engineering to drive AI innovations that make high quality mental healthcare more accessible. In this role, you’ll be the founding member of our AI technical team, defining and executing its roadmap, and lead cross-functional efforts spanning engineering, clinical, compliance, and product teams. About Talkiatry: Talkiatry transforms psychiatry with accessible, human, and responsible care. We’re a national mental health practice co-founded by a patient and a triple-board-certified psychiatrist to solve the problems both groups face in accessing and providing the highest quality treatment. 60% of adults in the U.S. with a diagnosable mental illness go untreated every year because care is inaccessible, while 45% of clinicians are out of network with insurers because reimbursement rates are low, and paperwork is unduly burdensome. With innovative technology and a human-centered philosophy, we provide patients with the care they need—and allow psychiatrists to focus on why they got into medicine. You will: - Define and lead the AI roadmap across experimentation, model evaluation, deployment, and iteration. - Architect systems to support safe and scalable LLM interactions—including prompt chaining, memory retention, and RAG pipelines. - Develop strategies for model selection (e.g., Azure OpenAI, AWS Bedrock, open-source) and cost-effective inference at scale. - Design and implement experiments to evaluate the efficacy, safety, and impact of AI innovations. - Build and scale a high-performing AI team across machine learning, data science, MLOps, and backend infrastructure.. - Serve as the AI technical authority in conversations with external vendors, cloud partners, compliance officers, and executive stakeholders. - Partner with legal and clinical teams to ensure HIPAA compliance, BAA alignment, and safe handling of sensitive patient data. You have - Technical Skills: - Expert in large language models (OpenAI, Anthropic, Mistral, etc.), including fine-tuning, prompt engineering, embeddings, and context window optimization. - Hands-on experience with RAG frameworks, vector databases (Pinecone, FAISS, Redis), and memory architectures. - Strong programming background in Python and ML stack (PyTorch, HuggingFace Transformers, LangChain, Weights & Biases). - Proficiency with cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), and orchestration tools (Airflow, FastAPI, etc.). - Deep familiarity with model evaluation frameworks—automated and - human-in-the-loop—for conversation safety, empathy, and hallucination detection. You have: - 5+ years of experience in AI/ML roles, with at least 3 years leading cross-functional teams including engineering, product, and research. - A successful track record of shipping production-grade AI systems—ideally in healthcare, mental health, or another mission-critical domain. - Deep technical fluency in LLMs, retrieval systems, and safe interaction design—with an ability to lead architectural decisions and implementation. - Experience building or managing AI teams from 0→1, with a strong recruiting eye and mentorship skills. - Familiarity with ethical AI, including red-teaming, bias mitigation, explainability, and escalation protocols for risky outputs. - Strong understanding of healthcare compliance (e.g., HIPAA, PHI), including how to architect systems with auditability and patient safety in mind. - A pragmatic approach to experimentation and iteration—balancing cutting-edge AI with operational feasibility and clinical guardrails. - Exceptional communication skills—you can convey technical decisions to both engineers and executives, and lead strategic conversations with confidence. Why Talkiatry: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.