AI/ML Systems Software Engineer

About Us: At EvolutionIQ, we are dedicated to revolutionizing the insurance claims landscape with cutting-edge technology that enhances the accuracy, fairness, and efficiency of claims handling. Our goal is to ensure that individuals affected by injury or illness can lead their lives with dignity and stability. In light of our rapid growth, we are on the lookout for exceptional talent eager to contribute to our scaling efforts and transform the insurance sector. Our team is our top priority, and we are proud to be recognized as one of Inc.’s Best Workplaces for three consecutive years and Built In’s Best Places to Work in 2025 and 2026!The Adventure: As the leading AI Guidance Platform in the insurance industry, we collaborate with some of the largest insurance carriers in the US and are expanding our reach globally. Our impressive growth is underscored by a near 100% success rate in transitioning pilots to production deployments. You will have the opportunity to design on a unified platform that scales across diverse lines of business. Our engineering culture emphasizes simplicity, foundational engineering principles, quality, transparency, and strong collaboration. If you are enthusiastic about working in a dynamic enterprise engineering team utilizing the latest technologies at scale, we want to hear from you!About You: As a driven AI/LLM Engineer, you will be pivotal in enhancing our leading medical synthesis product. You possess a strong sense of ownership over your projects and have a proven history of managing projects from inception to deployment. Excelling in a fast-paced startup atmosphere, you keep abreast of the latest AI and machine learning developments. Your passion lies in integrating hybrid approaches that fuse large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embedding-based models to deliver superior, reliable outcomes for our users.In this Role You Will:Design, build, and deploy AI-driven and LLM-powered features for our claims synthesis product, including effective extraction of critical information from intricate medical documents and human-in-the-loop summarization workflows.Develop and implement hybrid machine learning solutions that utilize statistical models, LLMs, and embedding-based retrieval techniques such as RAG to enhance system accuracy, scalability, and robustness.Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production.

About Mirage Mirage builds an AI-powered video platform that connects production and editing through natural language processing. Our models use contextual awareness to mirror the choices of skilled editors, streamlining workflows for experienced teams and making video creation more accessible to a wider audience. Learn More Our Product (Captions by Mirage) Our Research (Seeing Voices, technical white paper) Latest Updates (Mirage on X / Twitter) Mirage has been featured in TechCrunch, Forbes AI 50, and Fast Company. Our Investors Mirage is backed by leading venture firms and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and others. Location Requirement All roles at Mirage require in-person work at our Union Square headquarters in New York City. Role Overview: Research Engineer – Large Language Models Mirage seeks a Research Engineer to design, build, and scale systems for training and deploying large language models, with a focus on multimodal creative applications in video analysis. This role works closely with researchers to turn new ideas into efficient, production-ready systems that strengthen our platform.

Mirage builds an AI-native platform for video production and editing, centered in Union Square, New York City. The platform uses natural language to guide intelligent orchestration, allowing advanced models to understand context and mimic the creative decisions of experienced editors. This approach aims to boost productivity for professional teams and open up video creation to a wider audience. About the Team The team at Mirage brings together people from a range of backgrounds, blending technical and artistic skills to solve tough challenges in generative media. The work goes beyond routine model development, focusing on problems that remain unsolved across the industry. Role Overview: Research Scientist, Large Language Models This early team role offers the chance to shape the core technology behind Mirage. The position involves tackling foundational questions in generative AI and creative tooling, with the potential to influence how people create and edit video for years to come.

About UsAt Cohere, our mission is to amplify intelligence to benefit humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create extraordinary AI experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is pivotal in driving the widespread adoption of artificial intelligence.We are deeply passionate about our creations. Each team member plays a crucial role in enhancing our models and maximizing the value they deliver to our clients. We thrive on hard work and agility, always prioritizing the needs of our customers.Cohere is made up of a diverse team of leading researchers, engineers, designers, and more, all dedicated to their craft. We value unique perspectives as essential for developing exceptional products.Join us in our journey to shape the future of AI!Role OverviewAs Large Language Models (LLMs) redefine the capabilities of AI, inference remains a critical bottleneck. Our Model Efficiency team is at the forefront of enhancing LLM inference efficiency across our foundational models. We focus on groundbreaking advancements in the model execution stack, encompassing:Optimization of model architecture and mixture of experts (MoE) routingInnovations in decoding and inference-time algorithmsCo-design of software and hardware for GPU accelerationPerformance enhancements without sacrificing model qualityNote: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul, and London. We embrace a remote-friendly culture, strategically distributing teams based on interests, expertise, and time zones to foster collaboration and flexibility. Our Model Efficiency team primarily operates in the EST and PST time zones.As a Staff Research Engineer, you'll be instrumental in developing, prototyping, and deploying methodologies that significantly enhance the speed and efficiency of our models in production.Ideal Candidate ProfileYou may be an excellent fit for our Model Efficiency team if you:Hold a PhD in Machine Learning or a closely related disciplinePossess a deep understanding of LLM architecture and optimization techniques for inference under resource constraintsBring substantial experience in model optimization and performance enhancement strategies

YOUR MISSION: As the Lead AI Agent Architect at Parloa, you will be pivotal in revolutionizing the customer service landscape through innovative AI Agents. This customer-centric role involves overseeing the implementation of Parloa's advanced solutions, thus elevating the customer experience for our clients and partners. With your profound knowledge in Large Language Models (LLMs), Natural Language Understanding (NLU), and conversation design, you will develop efficient AI workflows that prioritize quality and performance. You will also be responsible for designing, prototyping, and validating scalable architectures for AI agent deployment, guiding clients and partners to maximize the benefits of Parloa's AI technologies. This ensures that our agents effectively integrate with existing systems to streamline customer interactions.

Join asapp as a Lead AI/ML Engineer, where you will have the opportunity to drive innovation and create cutting-edge machine learning solutions. You will lead a talented team of engineers and collaborate with cross-functional teams to develop, implement, and optimize AI technologies that enhance user experiences. Your expertise in machine learning algorithms and passion for artificial intelligence will be pivotal in shaping our product offerings.

Artian AI is at the forefront of revolutionizing enterprise process automation through an innovative AI-driven approach, particularly in regulated sectors such as financial services. We are advancing the capabilities of AI Workflow Agents, fostering seamless collaboration and achieving the transformative results that traditional RPA and BPM tools have yet to deliver. Our ambition is to make AI-powered automation scalable, reliable, and adaptable, starting with financial services while recognizing its vast potential across various industries. Guided by a team of leading experts in AI research and enterprise innovation, Artian is pioneering the future of multi-agent automation in large-scale, mission-critical environments. Discover more about us at https://artian.ai/company.We are seeking a talented AI/ML Engineer to accelerate the enhancement of our groundbreaking AI platform. Ideal candidates will possess extensive expertise in Python, PyTorch, sklearn, embeddings, vector databases, graph databases, and LLM APIs (such as OpenAI, Claude, Gemini, Llama, Mistral, etc.), alongside skills in LLM prompt engineering, fine-tuning, and hyperparameter tuning. Familiarity with paradigms like RAG, AI agents, and multi-agent systems is essential. In this role, you will collaborate within a small cross-functional team, engaging across various components and services. Experience in a successful startup environment is a valuable asset.The opportunity before us is immediate, substantial, and immensely exciting, providing you with the chance to create meaningful products and address customer use cases at Artian. We are enthusiastic about our mission and look forward to your contributions in driving our journey forward!Note: This position is primarily on-site in New York, with some flexibility.

OverviewTetrix is an innovative startup dedicated to revolutionizing how institutional investors navigate alternative markets. Our cutting-edge AI-driven platform converts chaotic, unstructured private market data into actionable real-time insights. By integrating automated document retrieval, AI-empowered data extraction, and dynamic portfolio analytics, we offer a unified solution that defines the future of financial market infrastructure. Our rapid growth positions us as a leader in the industry, with partnerships among top-tier capital allocators and backing from prominent investors including Innovation Endeavors, Eric Schmidt’s VC firm, and industry veterans from BlackRock, CPPIB, SoftBank, Lending Club, and Plaid. Who We AreWe are a compact yet impactful team with extensive experience in both financial markets and advanced technologies. Our culture thrives on trust, ownership, and curiosity, where every team member is encouraged to contribute, innovate, and grow together. Our co-founders, Olivier (CEO) and Naunidh (CTO), forged their partnership on their first day at Stanford's MBA program, leading to the establishment of Tetrix in the summer of 2023. Who You AreYou are proactive and hands-on, taking initiative to drive projects forward.You possess a quick learning ability, approaching problems creatively and enthusiastically.You prioritize customer experience in every aspect of your work, from backend decisions to UI enhancements.You thrive in collaborative environments, valuing transparency and effective communication.You bring 5+ years of experience in AI/ML, preferably within fast-paced or entrepreneurial settings; contributions to open-source projects are a plus. What You’ll DoYou will build and optimize machine learning models that enhance our product's capabilities.You will collaborate with cross-functional teams to integrate AI solutions that drive business value.You will contribute to the product development lifecycle, from concept through deployment.

Why Join Rogo?At Rogo, we are pioneering the development of Wall Street's first authentic AI analyst. Our mission is to empower finance professionals at leading investment banks, private equity firms, and investment organizations with AI that offers unmatched speed, precision, and insight. We are not merely enhancing financial workflows; we are fundamentally transforming them.This is a rare opportunity to become part of a groundbreaking company at a pivotal moment. With a rapidly expanding client base, proven product-market fit, and support from top-tier investors, we are scaling swiftly and creating a new frontier in enterprise AI.Our team is intelligent, driven, and passionately committed to our mission. We work with vigor, take ownership of complex challenges, and maintain a relentless focus on our users. If you excel in a fast-paced environment, demand excellence, and wish to contribute to shaping the future of finance, we welcome you to join us.Your ResponsibilitiesAs an AI Researcher at Rogo, you will be at the forefront of translating cutting-edge technological advancements into revolutionary financial products. You will utilize the latest innovations in Large Language Models (LLMs) and Reinforcement Learning, technologies that we believe will fundamentally transform knowledge work, placing you at the center of this exciting evolution.Design and implement end-to-end learned systems that integrate the capabilities of LLMs and Reinforcement Learning to automate comprehensive financial workflows.Develop large-scale infrastructure for assessing answer and response quality, and feed this data back into the learning systems as a reward mechanism.Collaborate closely with product managers and engineers to ensure that every solution you create delivers genuine user value and addresses real needs.Elevate standards for code quality, reliability, and product velocity. Together, you will challenge yourself and your colleagues to grow both technically and interpersonally.QualificationsBachelor's degree in Computer Science or a related field.3-6 years of experience in training large language models or post-training (or equivalent PhD experience).Proficient in writing LLM training code using PyTorch or JAX.Experience with a strongly typed programming language (e.g., Rust, C++, Java).Strong programming skills and a solid foundation in Computer Science principles.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Role: AI Engineer & Data Science Team LeadJoin our innovative team at Quantile Health as we harness the power of artificial intelligence to revolutionize healthcare. We are seeking a skilled AI Engineer & Data Science Team Lead who excels in data-driven problem-solving. In this pivotal role, you will guide our AI and Data Science team in utilizing large language models (LLMs) to convert unstructured data into meaningful ontologies and actionable insights, facilitating drug launches and access strategies.As a leader and mentor for a team of 3-4 data scientists, you will establish technical direction, oversee project management, and remain actively involved in developing scalable, production-ready AI applications at the intersection of AI and healthcare.About Quantile HealthQuantile Health, a seed-stage AI startup based in New York, is dedicated to creating agentic applications aimed at expanding patient access to transformative medications while reducing costs for drug innovators.ResponsibilitiesLead the development and delivery of impactful agentic LLM applications that drive significant business outcomes.Manage AI initiatives from conception to execution, ensuring quality and timeliness while mentoring a talented team of data scientists.Collaborate with company founders to shape and steer the product roadmap and technical strategy.Engage in hands-on research, model development, and the construction of production-ready AI systems.Work in tandem with the Engineering team to design system architecture and scalable data infrastructure.QualificationsStrong conceptual thinker with the ability to translate complex business challenges into structured data problems.Deep passion for LLMs and real-world AI applications, exhibiting a pragmatic and impact-oriented mindset.PhD in a quantitative discipline (Computer Science, Computational Biology, Statistics, etc.) with a minimum of 3 years of industry experience, or a Bachelor’s/Master’s degree with at least 7 years of relevant industry experience in finance, biotech, or tech startups.At least 1 year of team management experience.Hands-on expertise in building AI applications, including prompt engineering and advanced analytics, with a focus on converting large-scale unstructured data into production-ready solutions.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

Who We AreAddepar is a leading global data and AI platform that empowers investment professionals to transform complex financial data into actionable insights. By unifying portfolio, market, and client data, Addepar delivers AI-driven insights seamlessly integrated within investment and client workflows. Serving over 1,400 firms across nearly 60 countries, we manage and advise on assets totaling almost $9 trillion. Our open platform collaborates with approximately 650 software, data, and consulting partners to enhance investment operations for organizations of all sizes and complexities. With a presence in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo, Addepar is committed to supporting clients worldwide.The RoleWe are on the lookout for a Senior AI Engineer to become a pivotal member of our rapidly expanding AI Platform team. This team is dedicated to creating innovative and transformative solutions leveraging AI technology across our product suite.In this high-impact role, you will architect, lead, and execute the core AI capabilities that power our platform. Ideal candidates will thrive at the cutting edge of applied AI, showcasing a constant drive for delivering results. You will manage the complete lifecycle of AI-native products, ensuring the integration of advanced AI systems into robust, scalable, and high-performing production environments.

Join Datadog as a Product Manager II for Model Lab, where you will spearhead the development and launch of our cutting-edge experiment tracking platform tailored for teams engaged in training and optimizing foundational models. Model Lab consolidates metrics, hyperparameters, datasets, code versions, artifacts, and lineage to empower ML and AI teams in achieving consistent, reproducible, and explainable training runs at scale. This is a unique 0→1 opportunity to create a pioneering product that will be intricately integrated into Datadog's observability platform. You will define the product vision, validate market needs, and lead the execution of a category-defining offering aimed at AI research, ML platforms, and applied AI teams. At Datadog, we cherish our office culture—the relationships we cultivate, the creativity we nurture, and the collaboration that arises from working together. We embrace a hybrid workplace model that allows employees to achieve a work-life balance that aligns with their personal needs.

At CVector, we are dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors. Our vision is to empower industrial facilities to make informed decisions every minute, balancing cost, reliability, and margin through a unified decision-making layer that seamlessly integrates real-time asset constraints with market dynamics.This pivotal role is based in our New York City office, where our team collaborates four days a week to deliver solutions to clients across the country, operating in demanding industrial environments.Position OverviewThe Senior Research Engineer plays a crucial role in enhancing our modeling, analysis, and machine learning capabilities, enabling our clients to meet their economic, operational, and sustainability objectives. These modeling frameworks are essential to the functionality of CVector's AI Agents, ensuring customers receive precise and actionable insights based on real-world equipment and facility constraints.Reporting directly to the Chief Technology Officer, you will architect and implement models and analytical tools tailored for both standardized products and unique customer requirements. Your responsibilities will include the development and deployment of CVector's techno-economic analysis (TEA) and linear programming (LP) models, guiding clients on optimizing their operations for greater profitability, minimized energy expenses, and reduced emissions. Additionally, you will engage with our extensive library of machine learning and AI algorithms for time series analysis, anomaly detection, forecasting, and predictive maintenance.This role is perfect for a seasoned energy modeler or data scientist with a robust background in the energy or industrial sectors. We are looking for an individual who thrives in a dynamic startup atmosphere and enjoys collaborative efforts that engage founders, investors, clients, and team members alike.Key ResponsibilitiesEnhance CVector's modeling and analysis framework to support and improve the AI Agent experience.Integrate market data APIs for real-time insights on energy and commodity prices, carbon intensity, and weather forecasts.Apply various time series analysis techniques, leveraging AI/ML methodologies for energy forecasting and predictive maintenance.Utilize our algorithm training architecture to ensure high-quality results for our customers.Develop and implement techno-economic analysis (TEA) and linear programming (LP) models to optimize operations.Prepare and present TEA and LP model outcomes to clients, shaping their operational strategies.

At Runway ML, we are pioneering the fusion of art and science through advanced AI technologies. Our vision is to create world models that unlock the next breakthroughs in artificial intelligence, going beyond traditional language models to tackle the most pressing challenges in robotics, healthcare, and scientific research. By simulating real-world experiences, we enable AI to learn and adapt like humans, accelerating innovation and creativity in unprecedented ways.Our team is composed of imaginative, compassionate, and ambitious individuals committed to making a significant impact. If you are inspired to build the extraordinary and thrive in a collaborative environment, we want to hear from you!About the RoleWe welcome remote applicants from across the US and London, with offices located in NYC, San Francisco, Seattle, and London.We are seeking an experienced AI Engagement Manager who will be pivotal in driving the success of our strategic partnerships. You will work closely with key clients to help them harness the power of Runway’s platform to revolutionize content creation. This role demands a blend of technical expertise, strategic insight, and proactive execution.Your ResponsibilitiesDevelop and maintain trusted relationships with C-suite executives at major partners, ensuring they evolve from mere customers to long-term allies in AI-driven creativity.Collaborate directly with top-tier creative teams from leading Hollywood studios and Fortune 100 companies, contributing to award-winning productions and cultural milestones.Function as a strategic internal partner, documenting current successful use cases and innovating new applications to influence Runway’s product roadmap and market positioning.Engage deeply with client accounts to identify their content challenges and propose tailored solutions utilizing Runway’s capabilities.Explore and prototype new markets and opportunities for our offerings.