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Job DescriptionDescription: Emergence AI is building next-generation agentic AI systems that move beyond code generation to provable task completion, verification, and long-horizon autonomy. We’re looking for exceptional MS and PhD students to join us for a high-impact summer research internship. What you’ll work on • Design and prototype agentic systems for complex, long-horizon tasks (data pipelines, simulations, scientific workflows)., • Explore formal specifications, verification, and evaluation for autonomous agents., • Build and benchmark systems involving LLMs, planners, memory, and tool orchestration., • Apply agentic methods to accelerated science, simulations, or enterprise-scale data problems., • MS or PhD student in CS, AI/ML, Systems, Applied Math, or a related field., • Strong foundations in at least one of: AI/ML, distributed systems, programming languages, formal methods, or scientific computing., • Comfortable turning abstract ideas into working systems., • Work on real Enterprise problems at the frontier of agentic AI., • High ownership and direct exposure to research and product.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About Us: CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting-edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient, and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: As a Production Engineer in Security at CoreWeave, you'll ensure the reliability, scalability, and performance of our security systems and cloud platform. You'll develop and maintain systems that support our rapidly growing infrastructure, automate operational tasks, and continuously improve the security and resiliency of our services. • Design, implement, and maintain scalable and highly available security related infrastructure using Kubernetes and cloud-native technologies, • Develop automation and monitoring solutions to proactively identify and mitigate reliability risks, • Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime, • Participate in incident management, conduct root cause analysis, and implement solutions to prevent recurrence Who You Are Minimum Qualifications • 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations or related roles, • Strong proficiency with Kubernetes, container orchestration, and cloud-native technologies, • Experience managing and operating Teleport for infrastructure access control., • Expertise in automation and scripting languages such as Python, Bash, or Go, • Familiarity with observability platforms (e.g., Prometheus, Grafana, Datadog). The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description 2Bridge Partners has been engaged in the search for a Software Engineer with our FinTech client. Join a small, growing, well-capitalized, and revenue-producing company building the next generation of OMS/EMS servicing the hedge fund industry. Our client offers a competitive package with a base salary, bonus, and full benefits—medical, dental, vision, PTO, etc. They have offices in the Metro NYC area and would prefer someone accessible to the office who can work one day a week onsite. However, they are open to remote work for someone with a depth of experience architecting and developing trading systems for a hedge fund, prime, bank, etc. Overview: Seeking a Senior Backend Software Engineer with experience in design, development, and support of cloud and microservice-based, event-driven financial systems. The candidate should have a robust background in creating scalable, multi-tenant software systems focusing on real-time distributed technologies, preferably trading systems or other high-volume scalable applications. Applicants should be adept at enhancing system security and performance and managing high-volume API and web interfaces with stringent requirements for low response times. A proactive mindset toward creating modular, clean, and reusable code where commonplace solutions fall short is also required. Primary Responsibilities: • Lead the development and structural enhancement of scalable distributed computing systems., • Oversee and guide the architectural design and implementation of critical system components., • Optimize performance across various system layers for enhanced efficiency., • Bachelor's Degree in Computer Engineering or another relevant discipline., • Minimum 3 years of backend software development and architecture experience, specifically in C#.NET environments, using Petapoco, Swagger, or other ORMs., • Extensive expertise in backend development, with a strong emphasis on database design, optimization, and management, as well as proficiency in interprocess communication techniques for distributed systems, • 3 years of experience building event-driven systems leveraging RabbitMQ, SQS, Kafka, etc, to handle messages that arrive asynchronously and trigger appropriate actions., • Demonstrated capability in analytical and evaluative techniques., • Excellent organizational skills, with a keen ability to manage tasks and priorities effectively., • Independent initiative taker, skilled in problem-solving before escalation., • Ability to discern when collaborative input is necessary for optimal outcomes.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: As a Staff Software Engineer, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.Who You Are:, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Working knowledge of Kafka, ClickHouse and CRDB., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge

Job Description Senior Staff Software Engineer — Real-Time Distributed Systems (C#, .NET, gRPC) 2Bridge Partners has been engaged in the search for a direct-hire Senior Staff Software Engineer with a strong background building real-time, message-based B2B or trading applications in C#, .NET, and gRPC. Our client is an established technology firm developing high-throughput, multi-tenant platforms used by institutional customers. The engineering environment is centered around real-time data distribution, low-latency messaging, high concurrency, and event-driven architectures. This role is ideal for engineers who want to influence platform design while remaining hands-on with complex distributed systems. Compensation: $200K–$300K base plus a significant discretionary performance-based bonus. What You’ll Do: • Architect, design, and deliver components of a highly scalable, distributed, real-time computing platform., • Build and refine low-latency, message-driven services using gRPC and modern .NET., • Develop reusable patterns, shared libraries, and framework-level abstractions., • Lead performance tuning across messaging, compute, network, and storage layers., • Own critical platform services supporting high-volume API and UI workloads., • Collaborate with engineering leadership to shape architectural direction. Required Experience: • 10–15+ years of professional experience with extensive work in C# and .NET., • Strong experience with gRPC and cloud-based service architectures., • Expertise with distributed messaging and event-streaming technologies including Kafka, RabbitMQ, and Redis., • Strong understanding of backend fundamentals including high-volume message processing, interprocess communication patterns, and database performance., • Experience building multi-tenant, event-driven B2B systems requiring millisecond-level updates., • Experience building frameworks or shared service layers., • Strong interest in clean architecture and high engineering standards. Non-Technical Requirements: • Strong analytical and architectural reasoning., • High ownership mindset with strong follow-through and initiative., • Ability to work independently and collaborate effectively., • Strong communication skills. Education: • Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline preferred. Nice to Have: • NYC metro candidates preferred for hybrid collaboration (flexible for exceptional candidates). Benefits: • Medical, Dental, and Vision coverage, • Retirement plan (401k or IRA), • Paid vacation, sick time, and holidays, • Life insurance options, • Short- and long-term disability coverage

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . At CoreWeave, we don't box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you'll have the biggest impact. Tell us what interests you most, and throughout the hiring process, we'll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you'll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing. About this domain At CoreWeave, infrastructure isn't just a foundation, it's a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We're looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute. Within this domain, you'll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you're automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure. You'll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world. What You'll Do • Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave's global server hardware fleet., • Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems., • Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration., • Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior., • Design and implement observability solutions for large-scale server monitoring to improve system stability and insight., • Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health., • Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations., • Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms., • 5+ years of experience in software or infrastructure engineering., • Proficiency in Go and/or Python software development., • Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions., • Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions., • Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt., • Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design., • Experience implementing metrics pipelines, custom alerts, and monitoring strategies., • Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them., • Willingness and ability to thrive in a fast-paced startup environment. Examples of teams you might join at CoreWeave Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you'll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint. Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes. The base pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation.Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication.Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). Schmidt Sciences has multiple programs related to the AI Institute, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software. These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery. The Role Reporting to the Compute Program Scientist in the AI Institute, the Software Engineer will provide technical leadership and apply application development expertise across AI Institute and Schmidt Sciences multidisciplinary efforts. The initial set of projects will focus on cutting-edge developments in AI. A successful candidate should have a work portfolio that reflects specific contributions to production-grade software products. Success for this role is defined by the quality of software components produced, and the impact of the programming contributions on the overall success of each project. This role requires up to 30% domestic travel. Example activities for this role:● Implementing recently published algorithms or novel data-processing techniques within an existing application.● Troubleshooting and evaluating complex software packages for numerical accuracy, finding regressions after refactoring, or adopting existing software libraries for new hardware platforms.● Instrumenting research software for performance optimization and analysis, especially for large-scale, distributed workflows.● Using a combination of open source packages and proprietary APIs to construct scalable AI services using hybrid on-prem and cloud-based resources. Key Responsibilities for this role include the following:Primary Technical Development • Select the optimal tools and algorithms to implement solution components that enable new scientific capabilities or mitigate gaps and address test findings., • Own cognizant responsibility for the software architecture of multiple codebases using different programming languages., • Analyze and assess model resource requirements, review operational plans (e.g., virtualization, cloud, etc.), and evaluate other technical opportunities.Additional Schmidt Sciences Support, • Assist existing programs by providing software development expertise and mentorship, while working closely and collaboratively with multiple subject matter expert teams., • Work with other members of the Schmidt Sciences technical team to implement new software features and capabilities in support of diverse research activities., • Maintain awareness and track industry trends for tools and frameworks that address data management, analysis, visualization, monitoring, and security of research applications., • Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • A Bachelor’s degree from an accredited institution, with a focus on Computer Science, Mathematics, or a related field., • 5+ years of professional experience developing high-quality software applications., • Proficiency with software engineering tools and best practices., • Proficiency with modern machine-learning software frameworks, such as JAX, PyTorch, TensorFlow, etc., • Exposure to CPU/GPU/TPU acceleration techniques with popular SDKs (e.g., OpenCL, CUDA, ROCm, Cloud TPU)., • Prior work with containerized Linux workloads, including GPU-accelerated configurations., • Basic knowledge of computer networking and distributed computing., • Ability to design, train, deploy, or maintain state-of-the-art AI models at a production scale., • Experience producing technical writing for expert and general audiences., • Good track record of collaborative impact in high-intensity, team-based environments., • Sense of controlled urgency in driving work to completion., • The highest integrity and ability to maintain confidentiality., • Be able to travel within the U.S. and internationally on a regular basis as needed.Preferred Knowledge, Skills, and Abilities, • Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI., • Exposure to multiple steps in the software design lifecycle, such as evaluating the scalability, data requirements, compute needs, and selecting infrastructure components., • Expertise in relevant technical focus areas, e.g., AI model optimization and hardware accelerated frameworks., • Ability to work with and effectively translate technical concepts across multiple scientific disciplines., • Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $110K - $250K

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash