AI/ML Systems Software Engineer

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

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.

Nagarro is hiring a Senior Staff Engineer to lead AI-focused initiatives in New York City. This position centers on steering teams as they design and deliver advanced artificial intelligence solutions. Role overview This role involves taking charge of major AI projects, shaping technical direction, and ensuring high standards throughout the development process. The Senior Staff Engineer will help teams translate complex requirements into practical, AI-powered products that strengthen Nagarro's portfolio. What you will do Guide and mentor engineering teams working on artificial intelligence projects Drive the development of new AI solutions to improve existing offerings Oversee project execution from concept through deployment Requirements Extensive experience in artificial intelligence engineering Strong leadership skills in technical team settings Ability to manage and deliver complex AI-driven projects

Role Overview Tetrix is hiring a Staff AI/ML Engineer for its New York City office. This position focuses on developing advanced artificial intelligence and machine learning solutions that support both product development and operational improvements. What You Will Do Design and build AI and ML systems to strengthen Tetrix’s product lineup Apply technical expertise to solve complex business challenges Work closely with colleagues to identify opportunities for automation and efficiency Location This role is based in New York City.

About the Senior Staff AI/ML Engineer Role Sigma Computing builds a platform that helps users explore and analyze massive datasets through a spreadsheet-like interface. Teams use Sigma to visualize data, create dynamic workbooks, and build custom data applications and workflows. AI is central to Sigma’s next phase: making workflow construction easier, surfacing insights, and supporting rapid decision-making for enterprise users. This Senior Staff AI/ML Engineer position joins a team focused on shaping Sigma’s AI foundation. Work here impacts the daily operations of organizations that depend on Sigma for business intelligence and application development. What You Will Do Work with product, design, and engineering to identify AI/ML projects that deliver the most value. Design and build AI systems that make complex processes accessible, including recommendation engines, natural language interfaces, and intelligent workflow tools. Develop and improve AI/ML infrastructure for both internal and customer-facing features. Tackle user experience challenges where AI meets business intelligence and app development. What We Look For Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required). More than 10 years of experience building and deploying production AI/ML systems. Deep knowledge of machine learning, deep learning, and applied AI. Hands-on skill with the full machine learning lifecycle: data curation, training, deployment, and monitoring. History of delivering reliable solutions in areas such as recommendations, search, machine translation, or similar complex systems. Experience adapting or training foundational models (language-based or multimodal) for domain-specific use cases. Bonus Skills (or Areas to Grow Here) Background in building agents for planning, reasoning, and tool use. Familiarity with cloud platforms like AWS, GCP, or Azure. Experience working in a startup or high-growth company. Location: New York City, NY

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.

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.

About SecurityScorecard: SecurityScorecard is the premier authority in cybersecurity ratings, continually assessing over 12 million companies across 64 countries. Established in 2013 by cybersecurity pioneers Dr. Alex Yampolskiy and Sam Kassoumeh and backed by top-tier investors, our innovative rating technology is utilized by more than 25,000 organizations for self-assessment, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by simplifying the identification and remediation of cybersecurity vulnerabilities throughout their digital landscape. Based in New York City, our workplace culture has earned accolades from Inc Magazine as a "Best Workplace," and recognition from Crain’s NY as one of the "Best Places to Work in NYC." We are proud to have been listed among the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and received the Achievers 50 Most Engaged Workplaces award in 2023, highlighting our commitment to employee engagement. We are grateful for the support of our esteemed investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

Confido is revolutionizing the AI infrastructure that empowers Consumer Packaged Goods (CPG) brands by streamlining critical processes from deduction to production planning. Our integrated platform unifies cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics. This integration results in significant time savings, enhanced decision-making, and accelerated scaling capabilities.With over 200 trusted brands managing more than $20 billion in revenue—including notable names like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana—Confido has demonstrated exceptional growth. Recently, we secured a $15 million Series A funding round led by Footwork Ventures and Y Combinator to further drive our expansion.As a Senior Machine Learning / AI Engineer, you will play a pivotal role in developing the AI systems that form the backbone of the Confido platform. Your responsibilities will span from LLM-powered document understanding to creating predictive models that assist brands in making informed decisions.You will collaborate closely with engineering and product teams to transition AI capabilities from research into practical applications.

Senior AI EngineerAbout Fonzi AIFonzi AI is a dynamic startup with robust funding, reshaping the hiring landscape through innovative AI solutions. Launched recently, we have quickly garnered thousands of talented engineers to our platform. Our mission is to create an AI-driven recruiting marketplace that connects millions of job seekers with employers, where intelligent AI recruiters learn about individual preferences and seamlessly match candidates with ideal opportunities.The RoleWe are on the lookout for a Senior AI Engineer who will spearhead the development of groundbreaking AI experiences that will shape the future of recruitment. In this role, you will work closely with our engineering team, collaborating with full-stack engineers to integrate AI capabilities into our platform. Your AI features will be integral to the overall functionality of our application.You will engage in AI experimentation, implementation, and teamwork to deliver cohesive products. If you have experienced that transformative moment when AI revolutionizes how we work and are eager to create products that embody that potential for users, this position is tailored for you.What You'll DoDevelop AI agents capable of engaging in meaningful conversations with candidates and recruitersDesign and implement AI-driven features from the ground up, including voice interfaces, coaching systems, and intelligent matching algorithmsExperiment with cutting-edge models and techniques, making informed decisions regarding cost, quality, and speedProduce high-quality production TypeScript code that transforms AI concepts into reliable user experiencesRapidly prototype new AI functionalities and scale successful innovations to serve thousands of usersCollaborate closely with the engineering team to ensure seamless integration of AI features across the entire platformWork alongside full-stack engineers to pinpoint opportunities where AI can enhance the recruitment experienceStay abreast of developments in the AI field while maintaining focus on delivering tangible productsRequired ExperienceProven AI development experience: You have successfully built and deployed AI/LLM features in production for over a yearFull-stack engineering skills: Strong expertise in TypeScript, React, and Next.js, able to contribute to all aspects of development

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Join the Bevel TeamAt Bevel, we are innovating the future of health management with our cutting-edge AI Health Companion. Our app integrates data from multiple facets of health, such as sleep, recovery, activity, and nutrition, to provide users with real-time, personalized insights. Whether you’re training for a goal or simply aiming for better well-being, Bevel empowers you to navigate your health journey with confidence and clarity.Based in New York City, we are a passionate team of builders and creatives dedicated to our mission. We believe in the importance of balance in both work and life, knowing when to push hard and when to step back and recharge.Since our launch last year, Bevel has experienced remarkable growth and received incredible support from our users. We are on the lookout for exceptional Senior Backend Engineers to help us execute on an ambitious roadmap. This is your chance to influence the future of Bevel and take full ownership of your projects.

Join Norm Ai as a Senior/Staff Full Stack EngineerAt Norm Ai, we are revolutionizing the Legal & Compliance industry through cutting-edge AI technology. Our innovative platform empowers enterprises to enhance their legal and compliance processes, ensuring speed, reliability, and trust.With over $30 trillion in assets managed by our clients and recent funding exceeding $140 million from prominent investors like Blackstone and Bain Capital, we are positioned for rapid growth and expansion.As a Senior/Staff Full Stack Engineer, you will play a critical role in developing our advanced AI-driven compliance solutions. Your expertise will contribute to both front-end and back-end development, influencing how our technology transforms the legal landscape.AI Fluency:We expect our team members to leverage AI tools actively in their work. Candidates should be prepared to showcase their practical experience with AI applications, detailing workflows and outcomes during the interview process.

Why Join Moonshot AI?Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.Your ContributionsIn your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.Candidate ProfileA software artisan — you produce clean, scalable code and are adept at delivering results swiftly.5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).Proven experience in leading teams or managing significant projects.Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.An AI enthusiast eager to work with LLMs and influence their real-world applications.Bonus Qualifications:Experience in a startup environment (thriving in dynamic, fast-paced settings).

At Extend, we are revolutionizing document processing with cutting-edge Large Language Models (LLMs). Our mission is to reshape how organizations interact with unstructured data, making it more efficient and effective.As an Applied AI/ML Engineer, you will play a pivotal role in developing advanced document processing infrastructure and innovative AI-driven product features. Your contributions will directly influence the experience of our customer base as we process millions of documents each month.We seek engineers who are not only innovative problem solvers but also stay current with the latest AI advancements. If you are passionate about making tangible impacts in the real world and eager to assist businesses in overcoming significant challenges through AI, we want to hear from you!

Role overview Betterment seeks a Senior Staff Engineer to help shape the future of its technology. This position is based onsite at Betterment HQ in New York City. What you will do Lead complex engineering projects from initial planning through to execution Mentor junior engineers and support their technical development Collaborate with product and design teams to launch new features and refine existing ones Apply deep technical knowledge to strengthen Betterment's investment platform and create value for clients