Remote engineer jobs in North Bergen, New Jersey - Page 10Create job alerts

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Software Engineer II to join our Engineering team. Garner's Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: • Use AI to build, optimize, and maintain software systems, • Collaborate across disciplines to understand our domain and iterate on projects, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 2+ years of software engineering experience, • A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $138,000 - $160,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Senior Computer Vision & Spatial Geometry Engineer Location: New Yori, NY / Remote Duration: Full Time Role Overview We are building an automated system that converts scanned architectural floor plans (PDFs)—including NYC as-built condominium filings—into structured, coordinate-based spatial data suitable for 3D modeling and GIS workflows. This role focuses on reconstructing accurate geometry from raster scans, not extracting existing vectors and not training end-to-end black-box models. The core challenge is turning noisy, skewed, real-world blueprint scans into watertight room polygons with real-world coordinates. We are looking for a senior engineer who is strong in classical computer vision, computational geometry, and raster-to-vector reconstruction, and who enjoys solving hard, practical problems with deterministic and explainable systems. Key Responsibilities Geometry & Vision Pipeline • Design and implement a raster-to-geometry pipeline for scanned architectural PDFs, • Build robust preprocessing tools for:, • deskewing, • binarization, • noise reduction, • normalization of low-quality scans, • Isolate architectural linework (walls, boundaries) from:, • text, • dimensions, • symbols, • stamps and annotations, • Handle door gaps and broken boundaries to ensure enclosed, “watertight” regions, • Extract enclosed regions (rooms, corridors) using connected components and topology analysis, • Convert raster regions into clean polygon geometry, • contour extraction, • polygon simplification, • vertex snapping, • consistent winding and validity checks Spatial Accuracy & Scaling • Develop deterministic methods to convert pixel geometry into real-world X/Y coordinates, • Calibrate scale using:, • architectural dimension annotations, • scale notes when available, • Validate geometry numerically:, • closed polygons, • area consistency, • tolerance-based error detection Text & Semantic Integration • Integrate OCR outputs to:, • associate room labels with polygons, • parse dimension strings (feet/inches, metric), • extract height or ceiling notes, • Map semantic text to spatial geometry using proximity and containment logic Output & Integration • Produce structured JSON outputs aligned with downstream 3D/GIS systems, • Ensure outputs are explainable, debuggable, and consistent across floors and documents, • Build internal visualization/debugging tools (overlays, masks, polygon previews) What This Role Is Not • Not prompt engineering, • Not LLM application development, • Not training large end-to-end neural networks Required Technical Skills • 5+ years of experience in computer vision, image processing, or computational geometry, • Strong command of classical CV techniques, including:, • thresholding and morphology (dilate/erode/open/close), • edge and line detection (e.g., Hough transforms), • connected components and region analysis, • contour tracing and polygon simplification (e.g., Douglas–Peucker), • Solid understanding of planar geometry and numerical robustness, • Experience converting raster data into vector or polygon representations, • Strong Python skills (NumPy, OpenCV, scikit-image, etc.), • Comfortable debugging visually and iterating on messy real-world data Strongly Preferred • Experience with architectural drawings, floor plans, CAD, BIM, GIS, or maps, • Familiarity with OCR systems and bounding-box–based text extraction, • Experience parsing architectural dimensions (feet/inches or metric), • Experience validating polygon geometry (self-intersection, closure, area), • Prior work on document image analysis or technical drawings Nice to Have • Experience using pretrained segmentation models to supplement classical CV, • Exposure to GIS or BIM formats (GeoJSON, IFC, IMDF), • Knowledge of NYC as-built or Department of Buildings / Finance document conventions, • Experience building internal QA or visualization tools, • Familiarity with downstream 3D geometry pipelines

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Experienced Software Engineer Our client is on crypto’s cutting edge technology, and we’re looking for the right engineers to join them. This is a remote position for any US candidate. No blockchain experience is needed. Our client's Blockchain Distribution Network (BDN) allows DeFi (Decentralized Finance) traders to make better trades by being better connected. The key difference is that in the decentralized world of DeFi, you need to be connected to everyone. Coinbase is one of their investors. Responsibilities As a member of an agile engineering team, you will help design, implement, test and deploy new features in very short cycles to an always-on critical-path infrastructure. Requirements • 4+ years of backend SW development, • Experience using Go (Golang), • Experience building arb-bots, liquidations-bots, wallets, and similar crypto products, • Experience running ETH nodes, • Experience modifying node codebase, • Experience in automated crypto trading and DeFiGreat compensation package.If you think you fit the role please apply to join the blockchain journey.

Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The Role The Platform Engineering team builds the systems, tooling, and operational standards that enable product teams to deliver software safely, frequently, and independently as the company grows.The Platform Engineer is responsible for contributing as part of this team, helping to lead the design, scalability, reliability, and operational excellence of the company’s platform infrastructure and core services. This role partners closely with Engineering, Product, and Cybersecurity to architect and evolve systems that support a highly available, secure, and resilient multi-tenant SaaS environment. As a senior individual contributor, the Platform Engineer applies advanced reliability and systems engineering principles to production environments, influencing architectural decisions and long-term platform strategy. This role balances speed of delivery with operational maturity, ensuring the platform scales effectively while maintaining high standards of performance, security, and uptime. This position reports to the Platform Engineering Manager. This position is full-time and fully remote. Candidates must be located in one of the following states: New York, New Jersey, Connecticut, California, Oregon, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, and South Carolina. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You * You bring deep experience designing and operating production-grade cloud platforms, ideally within Microsoft Azure, and have helped evolve infrastructure that supports reliable, highly available SaaS systems at scale. * You have led or played a major role in complex platform initiatives, such as Kubernetes adoption, infrastructure modernization, or safely decomposing monolithic systems while the business continued shipping product.. * You have strong experience building and evolving CI/CD pipelines, infrastructure-as-code frameworks, and deployment automation that allow engineering teams to ship software safely and frequently. * You think in terms of systems, reliability, and operational maturity, with experience designing observability practices, incident response processes, and service reliability standards that improve uptime and reduce operational friction. * You naturally raise the technical bar around you, documenting architecture decisions, mentoring engineers, and helping teams adopt stronger reliability, observability, and operational practices across production systems. What You'll Do * Lead the design, implementation, and evolution of reliable, scalable platform infrastructure supporting the company’s SaaS products and APIs. * Partner with engineering teams to evolve platform architecture over time, supporting safe system decomposition, service ownership, and scalable service boundaries. * Architect and maintain infrastructure-as-code frameworks and automation standards to ensure consistency and repeatability across environments. * Establish and refine monitoring, alerting, logging, and observability practices to proactively detect and resolve system issues. * Own and improve incident response frameworks, root cause analysis processes, and post-incident reviews, driving systemic improvements. * Define and guide service level objectives (SLOs), service level indicators (SLIs), and error budgets to support reliability-driven decision-making. * Partner with Engineering teams to embed reliability, operability, and scalability considerations into system architecture and deployment workflows. * Lead improvements to CI/CD pipelines, deployment automation, and platform tooling to increase developer velocity and reduce operational friction. * Drive capacity planning, performance optimization, and scaling strategies to ensure platform readiness for growth and peak usage. * Collaborate with Security and Engineering leadership to ensure platform resilience, data protection, and compliance best practices are embedded in infrastructure design. * Provide technical leadership and mentorship to engineers across teams, influencing platform standards and architectural best practices. * Contribute to documentation, operational standards, and runbooks to ensure consistency and knowledge sharing. * Participate in on-call rotations and provide production support as needed to maintain system uptime and reliability. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 8+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related roles within a SaaS environment. * Demonstrated experience designing and supporting highly available, production-grade cloud infrastructure. * Deep experience with cloud platforms (Azure preferred), networking, and distributed systems architecture. * Strong experience with infrastructure as code, automation frameworks, and CI/CD pipeline design. * Experience supporting multi-tenant SaaS systems with high availability, uptime, and performance requirements. * Experience with containerization and orchestration technologies (e.g., Kubernetes). * Experience leading complex technical initiatives or serving as a senior technical advisor across engineering teams. Essential Skills * Strong systems-thinking and architectural judgment, with the ability to design scalable, resilient solutions. * Advanced troubleshooting and root cause analysis skills across distributed systems. * Ability to influence technical direction without direct authority. * Strong written and verbal communication skills, including the ability to document architecture decisions and operational processes. * Ability to balance long-term platform strategy with short-term business priorities. * High level of ownership, accountability, and attention to detail. * Ability to work independently while collaborating effectively across Engineering, Product, and Cybersecurity teams. * Commitment to operational excellence and continuous improvement. Tools You’ll Use * Slack * Jira * Confluence * GitHub * Visual Studio Code / IDE * Datadog * AI-assisted development tools (GitHub Copilot) What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer * A base annual salary range of $170,000 - $195,000, commensurate with experience * Eligibility for annual bonus based on performance and company success * 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) * Company-paid life insurance * Traditional and Roth 401k plans * Paid parental leave * Learning & development opportunities with company reimbursement for eligible educational expenses * Working abroad opportunities * Volunteer days off * Flexible scheduling * Up to $300 reimbursement for initial equipment to set up hybrid work environment * Generous PTO and holiday schedule * Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing .

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 To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments 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 Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). By joining Fractional AI, you’re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup. About the Role Joining Fractional AI as an AI Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. What you bring to the table: * You write exceptional code + deeply care about the craft of coding (4+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages * You have a track record building with Large Language Models: you have experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc. * You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before * You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture * You are comfortable talking with customers: you deeply care about the customer and skillfully navigate customer conversations to ensure what we’re building meets their needs * You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth What you'll do: * Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability * Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support * Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working Our tech stack: * We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in python. * After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB). A day in the life: * You're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different * You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline. * You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities. * You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print. * Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project. Who you'll work with: * This role will collaborate closely with Eddie, our Co-Founder and CTO. * You’ll work very closely with other engineers on the team -- most project teams consist of 2-5 engineers and a PM. * You’ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis. Why you should (and shouldn’t) join us We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. * Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products. * Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai offices means things like team lunches, quick brainstorming, and the right amount of banter. Why shouldn't you join Fractional? * Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency. * Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day. * Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial. Our Values Overdeliver. Overuse AI. Over "engineer" the culture. Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

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

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