Applied Research Engineer - Edge AI

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

About Us:Axiomatic AI is at the forefront of creating a revolutionary class of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are developing verifiable and interpretable AI systems that enhance and support human researchers within critical scientific and engineering processes.Our ambitious mission, known as 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by the year 2030.We are committed to transforming hardware design and simulation across these industries and are assembling a team of exceptionally driven professionals to transition innovations from research into viable commercial products.Position Overview:As a Senior Applied AI Engineer, you will serve as a vital link between AI research and the production of software. Your responsibilities will include:Collaborating with users and internal stakeholders to pinpoint workflows where AI can add significant value.Designing and implementing product features powered by large language models (LLMs), utilizing frameworks such as PydanticAI or similar tools.Making informed trade-offs among models and methodologies, considering factors such as quality, latency, cost, privacy, and reliability.Facilitating AI developers in deploying their work in a reproducible and secure manner.Setting engineering standards for applied AI development, including testing, code reviews, maintainability, and operational readiness.Working closely with backend engineers to seamlessly integrate AI functionalities into our products.Mentoring junior AI developers and overseeing pull requests to guarantee high-quality output and consistent development patterns.Your Mission:Applied AI Product DevelopmentOversee applied AI features from start to finish: discovery, design, implementation, rollout, and iteration.Convert user feedback into clear technical requirements and realistic delivery plans.Create LLM workflows, including tool-calling agents, structured output pipelines, retrieval/tool integrations, and effective prompting strategies.Iterate rapidly while maintaining high production quality (readability, maintainability, debuggability).Model & Prompt StrategySelect and assess LLMs (OpenAI/Anthropic/others) based on tangible constraints: quality, cost, latency, context limitations, and reliability.Develop prompt patterns and guardrails, including structured prompts, schemas, constraints, and fallback mechanisms.Design and execute lightweight evaluations to prevent regressions.

At WHOOP, we are dedicated to revolutionizing human performance and enhancing healthspan. Our innovative platform empowers members to achieve peak performance through profound insights into their physiological data and daily routines.We are in search of a visionary Director of Applied Artificial Intelligence to spearhead the design and implementation of intelligent systems that will define the future of the WHOOP experience. Reporting directly to the Senior Vice President of Software, this pivotal role offers a rare chance to influence the application of AI in fostering health, recovery, and performance enhancements for millions of members around the globe. In this capacity, you will craft and execute a comprehensive AI strategy across our product lines, platform, and operational frameworks—integrating state-of-the-art models with practical applications. You will lead a diverse team of researchers, engineers, and data scientists, and play a crucial role in guiding WHOOP’s commitment to ethical, scalable, and impactful AI solutions.

In alignment with the Massachusetts state government's vision to position the state as a frontrunner in artificial intelligence innovation, the Massachusetts AI Hub has been launched within the Massachusetts Technology Collaborative (MassTech). This hub fosters innovative collaborations among government entities, industry leaders, startups, and academic institutions to tackle the most pressing global challenges while creating economic opportunities for businesses and residents alike.The Massachusetts AI Hub is dedicated to democratizing access to AI technology for both small and large enterprises across key sectors, empowering researchers, entrepreneurs, and startups to develop and commercialize transformative ideas.The Hub is in search of a visionary Senior Director to spearhead the orchestration of resources within the organization. This leadership role will facilitate the practical adoption of the AI Hub’s essential resources, such as the Massachusetts Data Commons Collaborative and a cutting-edge GPU cluster located at the Mass Green High Performance Compute Center. The objective is to expedite the state’s journey from AI capabilities to tangible implementation by managing impactful use cases that drive economic growth and societal benefits.The Senior Director will be instrumental in nurturing existing and forging new partnerships with research institutions, strategic industry sectors, government agencies, and nonprofit organizations that will engage with the AI Hub's data and computational resources. Furthermore, this role will involve identifying additional grant funding and revenue opportunities as a part of the AI Hub’s financial sustainability model, including federal and state funding, industry contributions, membership initiatives, philanthropic efforts, and other revenue-generating services.Key ResponsibilitiesOversee the development, governance, and utilization of the Massachusetts Data Commons while establishing secure and ethical data management protocols.Design and implement a strategic framework for the allocation of compute resources, ensuring optimal utilization and equitable access across critical Commonwealth initiatives.Identify and prioritize significant AI challenges presented by regional industry and academic partners.Translate business objectives into technical Hub projects, focusing on sectors such as life sciences, healthcare, robotics, climate technology, advanced manufacturing, and fintech.Forge partnerships with CEOs and CTOs to promote collaboration; monitor performance metrics and act as a public figure for the Massachusetts AI Hub.Manage and develop a team to meet the evolving needs of the organization.

Company OverviewAt 1910genetics, we are revolutionizing biotech through our AI-native approach, leading the charge in small and large molecule therapeutic discovery. Our innovative infrastructure leverages vast multimodal data, cutting-edge AI models, and high-throughput lab automation to redefine drug discovery.We pride ourselves on attracting the top 1% of talent to our dynamic team, which includes scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in creating the world’s first AI-driven infrastructure for tech-enabled drug discovery, aimed at delivering a diverse pipeline of drug modalities across all major disease areas.In the role of AI Research Scientist III at 1910genetics, you will be an essential Individual Contributor (IC), engaging with contemporary scientific literature, developing innovative prototypes, and actively participating in our drug design initiatives utilizing 1910’s production-grade AI/ML models.

FieldAI is revolutionizing the interaction between robots and the real world. Based in Boston, our expanding R&D team is dedicated to creating reliable, risk-aware AI systems designed for the field. We address complex challenges in robotics and unlock the potential of embodied intelligence through a pragmatic approach that transcends conventional off-the-shelf, data-driven methods and transformer-only architectures. Our advanced solutions are currently deployed globally, with continuous model performance enhancements driven by rapid iterations from real-world applications.We invite you to join our dynamic humanoid manipulation team as a Senior Research Engineer. In this pivotal position, you will merge robotics research with practical engineering, focusing on developing, testing, and refining manipulation capabilities to advance autonomous control and loco-manipulation in humanoid robots. Collaboration will be key as you work alongside research scientists, engineers, and product partners to design innovative manipulation strategies that contribute directly to FieldAI's robot learning pipelines.Furthermore, you will play an instrumental role in enhancing robotics foundation models that are embodiment agnostic, initially targeting humanoid platforms. This position is centered around pushing the boundaries of manipulation research while ensuring that breakthroughs translate into scalable and practical autonomy in real-world environments.

About Axiomatic AI Axiomatic AI builds AI systems that bring the rigor of the scientific method to reasoning. By combining deep learning, formal logic, and physics-based modeling, the team develops interpretable and verifiable AI tools designed to support human researchers in scientific and engineering tasks. The company's 30×30 mission targets a 30-fold increase in the speed, affordability, and accessibility of semiconductor and photonic hardware development by 2030. This vision drives efforts to reshape hardware design and simulation, moving research breakthroughs toward real-world products. Research Internship Overview This Research Internship centers on the intersection of AI, formal methods, and scientific reasoning. The role suits PhD candidates interested in advancing AI for science and engineering, especially those who want to build tools that verify scientific results. Interns will focus on research into automated verification of scientific reasoning. Projects may include developing AI agents for complex mathematical formalization, designing knowledge retrieval systems, and exploring both formal and informal verification workflows. What You Will Do Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants. Explore Lean metaprogramming or related formal methods tools for scientific applications. Create verification pipelines for complex equation derivations, connecting AI and physics. Work with researchers to define a focused project that advances internal capabilities and research understanding. Conduct scientific research suitable for publication at leading conferences (ICLR, ICML, NeurIPS) or contribute to major open source initiatives. Locations Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain

Toast supports restaurants and local businesses as they navigate the digital landscape. The platform helps owners manage daily operations, boost sales, engage their customers, and keep teams motivated. The Customer Success Data and Analytics (CSDA) group focuses on transforming unstructured customer interactions into actionable insights. By applying Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs), the team builds data products that inform Care Operations, Customer Success, Education, and Voice of the Customer programs. Role overview The Principal Data Product Manager, Applied AI, leads initiatives to harness AI-powered data for a deeper understanding of customer experience. This position centers on prototyping, validating, and scaling a portfolio of AI-driven data products. These solutions enable the Customer Success organization to access and use customer insights more effectively. Collaboration is central to this role. The Principal Data Product Manager works with teams across Toast, sharing expertise and supporting the application of customer success data in AI contexts. The aim is to deliver data products that are efficient, consistent, and reliable. What you will do Prototype, validate, and scale AI-driven data products for Customer Success Work directly with platforms such as Snowflake and Hex Partner with Customer Success leaders to communicate the impact of data innovations Serve as a resource and thought partner for teams using customer success data Encourage efficient, consistent, and reliable use of AI-enhanced data across departments Who thrives in this role Comfortable taking ownership and working independently Experienced with technical platforms and tools (such as Snowflake and Hex) Skilled at collaborating with both technical and non-technical teams Enjoys a mix of hands-on technical work and cross-functional partnership Location Boston, MA

About Us: Axiomatic AI is pioneering a new generation of AI systems that apply the scientific method rigorously. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that enhance and assist human researchers within critical scientific and engineering processes. Our Mission, 30×30: We are committed to achieving a 30× enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We envision transforming hardware design and simulation across these sectors and are assembling a team of passionate professionals to translate these advancements from research into commercial products. Position Overview: As an AI Research Scientist specializing in photonic and neuromorphic computing, you will be instrumental in crafting AI algorithms and architectures, as well as simulation and optimization frameworks tailored for innovative, non-traditional computing platforms. You will help develop algorithms, digital twins, and training methods that connect AI, physics, and hardware-aware system design within Axiomatic's next-generation computational science tools. This position is part of Axiomatic's long-term research and product strategy, involving collaboration across various projects and initiatives, and working closely with AI researchers, physicists, and software engineers to translate cutting-edge concepts into scalable, impactful solutions. Your Mission: Simulation and Digital Twins: Create simulation and digital-twin tools that effectively model physical effects such as nonlinearities, noise, and precision limits, facilitating hardware-aware algorithm development. Co-Design and Collaboration: Collaborate with internal AI, software, and hardware teams to ensure cohesive alignment between algorithms, system constraints, and overarching platform objectives, including the automation of scientific workflows. Algorithm and System Design: Architect and prototype machine-learning frameworks and physics-aware optimization workflows for neuromorphic systems, examining efficient mappings of AI models onto emerging hardware substrates. Research, Benchmarking, and Reporting: Assess system-level performance trade-offs, conduct benchmarking studies, document findings, and contribute to technical decision-making across Axiomatic’s R&D portfolio.

About Us: Axiomatic AI is pioneering a new generation of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are creating verifiable and interpretable AI systems that enhance and support human researchers in critical scientific and engineering tasks. Our ambitious mission, 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. We are set to transform hardware design and simulation across these sectors, assembling a team of passionate professionals dedicated to translating innovative research into commercial products. Position Overview: As a Research Software Engineer with a focus on scientific computing systems, you will be responsible for constructing and scaling the computational foundation of our scientific tools. This includes accelerating simulation and optimization workloads, facilitating robust distributed execution, and ensuring correctness and reproducibility across numerical pipelines. You will collaborate closely with a diverse team comprising AI Engineers, Software Engineers, Mathematicians, and Physicists to develop tools that revolutionize how engineers and scientists leverage AI in their daily operations. Your Mission: Scalable Scientific Computing: Develop high-performance, reliable systems for simulation, inference, optimization, and uncertainty quantification workflows, particularly in the realms of electromagnetic simulation and inverse design. Performance Optimization: Analyze and enhance performance throughout end-to-end pipelines (CPU/GPU). Distributed Execution & HPC: Design and sustain distributed computing infrastructure for extensive sweeps and multiple experimental runs (multi-GPU/multi-node), emphasizing reproducibility, observability, and developer usability. Verification & QA: Establish rigorous testing and verification protocols for scientific computing pipelines (numerical regression, invariants, convergence tests, golden datasets), ensuring reliable results over time.

Company OverviewAt 1910genetics, we are revolutionizing the biotech industry as the sole AI-native company dedicated to the discovery of small and large molecule therapeutics. Our innovative approach combines vast multimodal data, cutting-edge AI models, and advanced lab automation to create a robust infrastructure for AI-driven drug discovery.We are committed to hiring the top 1% of talent to join our diverse team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in building the world’s first AI infrastructure for tech-enabled drug discovery and in delivering a pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist I at 1910genetics, you will actively contribute as an Individual Contributor (IC) by keeping abreast of the latest scientific literature, prototyping innovative methodologies, and supporting our ongoing drug design initiatives through the application of 1910’s production-ready AI/ML models.

Company OverviewAt 1910genetics, we are at the forefront of biotechnology, uniquely leveraging artificial intelligence to revolutionize the discovery of small and large molecule therapeutics. Our innovative approach integrates extensive multimodal data, cutting-edge AI models, and advanced lab automation, creating an unparalleled infrastructure for AI-driven drug discovery.We pride ourselves on attracting the top 1% of talent to join our dynamic and interdisciplinary team comprised of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in our mission to establish the world’s first AI infrastructure for technology-enabled drug discovery and to develop a robust pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist II at 1910genetics, you will take an active role as an Individual Contributor (IC), engaging with current scientific literature, prototyping innovative methodologies, and contributing to our ongoing drug design initiatives by applying our productionized AI/ML models.

About Us At PathAI, our mission is to revolutionize patient care by enhancing diagnostic accuracy through AI-driven pathology solutions. Our platform is designed to significantly boost the precision of disease diagnoses and the effectiveness of cancer treatments by utilizing cutting-edge machine learning and artificial intelligence technologies. With a proven history of implementing AI algorithms in histopathology across various settings, including translational research, pathology laboratories, and clinical trials, we emphasize rigorous scientific methodologies and thorough analyses in every project. Our diverse team, united by a shared passion for tackling complex problems, is dedicated to making a meaningful impact on patient outcomes. Your Role We are on the lookout for talented Machine Learning Engineers (Applied Research & Model Development) to join our innovative team. In this role, you will engage with various departments, including biomedical data science, product development, translational research, MLOps, and platform engineering, to advance our machine learning capabilities and enhance patient care through our AI products and services. Key Responsibilities Design, implement, and launch machine learning models for both research and product development initiatives. Work collaboratively with cross-functional teams, including scientists, engineers, and product stakeholders, to translate clinical and biological requirements into scalable machine learning solutions. Participate in experimental design and analysis, including ideation, documentation, and reporting processes. Contribute to team knowledge sharing initiatives such as design reviews, journal clubs, and discussions on machine learning best practices and governance. Enhance machine learning pipelines and infrastructure in collaboration with MLOps and platform engineering teams.

Join our innovative team at Foundation LLM Technologies, an MIT-originated and venture-backed startup situated in the heart of Silicon Valley. We are on a mission to create a groundbreaking AI Copilot for design and manufacturing, resembling a real-life 'Jarvis'. By harnessing cutting-edge artificial intelligence, advanced physics simulations, and state-of-the-art computer graphics, we aim to lower costs and enhance engineering productivity throughout the entire design and manufacturing lifecycle.

Research Scientist in PhysicsAbout UsPhysical Superintelligence is a pioneering startup with prestigious roots at Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute. We are on a mission to build AI systems that uncover new physics breakthroughs at scale. We invite talented physicists to join our team in crafting evaluation frameworks and verification systems that facilitate AI-driven discoveries in physics.Key ResponsibilitiesTransform cutting-edge physics challenges into machine-verifiable tasks that AI systems can systematically navigate. This role entails writing production-level code, collaborating with AI researchers and engineers, and delivering operational systems that foster large-scale physics discovery.- Design evaluation frameworks across diverse physics domains, including atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, and statistical mechanics.- Create verification harnesses that encode principles of physical validity, conservation laws, and experimental integrity to differentiate authentic physics insights from numerical artifacts.- Integrate advanced physics simulations into AI environments and establish benchmarks that assess genuine physics reasoning.- Collaborate with AI researchers to refine agent architecture and training methodologies, while developing production code that underpins extensive discovery workflows.QualificationsWe are looking for candidates with a PhD in Physics or a related discipline, possessing in-depth knowledge in at least one significant area of physics and proficient programming skills. Ideal candidates should demonstrate a history of addressing complex, unresolved problems and excel in dynamic research settings.Areas of Expertise:- Profound knowledge in atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, statistical mechanics, or equivalent physics disciplines.- Solid understanding of physical validity, conservation laws, and experimental limitations.Programming and Computational Skills:- Proficient in Python and C++, with experience in computational physics simulations and high-performance computing.- Hands-on experience with simulation tools such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS, OpenFOAM, COMSOL, or similar platforms.

Join Code Metal as a Research Engineer specializing in Formal Methods and contribute to groundbreaking innovations at the nexus of theory and practice. In this pivotal role, you will implement and integrate advanced testing and verification tools into our suite of products.Your collaboration with researchers and engineers will be essential in embedding formal methods techniques within our workflows, fostering advancements at the intersection of formal methods and artificial intelligence.Key ResponsibilitiesPartner with the research team to translate theoretical formal methods research into practical, production-ready applications within Code Metal products.Adapt and apply tools and frameworks to enhance the accessibility of formal verification for practicing engineers.Conduct experiments to assess the applicability and effectiveness of formal methods on large-scale industrial codebases.Engage with multidisciplinary teams to contribute to both research projects and production-quality solutions.

Join our innovative Managed Services team as an AI Application Engineer. In this role, you will be instrumental in designing, integrating, and deploying AI solutions, which include agentic applications, LLM inference, similarity search, guardrails, and model evaluation. Your efforts will enhance workflows, scalability, and optimize the deployment, operation, and upgrades of InterSystems cloud solutions.This position is ideal for a talented software engineer who is enthusiastic about leveraging AI to tackle real-world challenges. You will collaborate with diverse teams to create prototypes and deliver production-ready solutions.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member brings to our vibrant workplace. We believe that everyone deserves an equal opportunity to succeed, and we value the unique insights that individuals contribute beyond traditional qualifications. If you find that you closely match the criteria but not perfectly, we encourage you to apply. Interested in discovering more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to take charge of their future.At Klaviyo, we envision a future where software transcends traditional productivity tools, evolving into intelligent systems that autonomously optimize based on performance metrics. Our platform serves as a crucial bridge between businesses and their consumers, boasting over 167,000 customers, billions of consumer profiles, and a vast array of customer interactions and conversion data. This presents an exciting opportunity to develop cutting-edge AI and machine learning technologies that will enhance our product offerings and create AI agents capable of autonomously orchestrating marketing strategies and customer experiences across various industries.As a Senior AI Engineer at Klaviyo, you will be instrumental in architecting and developing scalable backend systems and user experiences that drive our AI innovations forward. You will collaborate closely with product managers, machine learning engineers, and data scientists to create substantial real-world impacts at scale. This role is primarily backend-focused, providing opportunities to influence system architecture, asynchronous processing pipelines, distributed systems, and more.

At WHOOP, we are dedicated to enhancing human performance and extending healthspan through innovative solutions. Our mission is to empower individuals to reach their peak performance and enjoy longer, healthier lives. Utilizing advanced AI technologies, we transform continuous physiological data into meaningful insights and actionable recommendations. The AI platform is vital to our vision, converting raw physiological signals into personalized guidance that our members can implement daily.We are seeking a Senior AI/ML Engineer to play a crucial role in scaling our AI-driven experiences, which include WHOOP Coach, AI-powered Support, and various intelligent features across our product suite. In this pivotal position, you will be responsible for overseeing essential components of the AI Platform that power our internal AI Studio, such as evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tools. You will collaborate closely with product teams and data scientists to translate real user needs into robust, impactful AI systems that evolve based on actual usage.