Senior Software Engineer - Machine Learning Offboarding Models

Join Array Labs, a pioneering company that develops cutting-edge radar systems to enhance our understanding and response to global changes.Our ambitious project involves deploying a coordinated fleet of radar satellites aimed at generating a high-resolution 3D map of Earth. This real-time data will empower governmental and commercial organizations to make informed, swift decisions in disaster response, infrastructure resilience, and critical geopolitical intelligence.At Array Labs, we handle the design and construction of our satellites from start to finish, creating the most advanced Earth observation satellites in the world. Our fleet promises unparalleled accuracy, coverage, and responsiveness, delivering essential insights precisely where they are needed most.

Position OverviewJoin our innovative team at Nace.ai as we push the boundaries of artificial intelligence through cutting-edge research in large language models (LLMs) and vision-language models (VLMs). We are in search of a talented AI Research Engineer with a strong focus on adaptive learning methodologies, including meta-learning and hypernetworks. Your role will encompass the design and implementation of advanced architectures for dynamic model adaptation, enhancing model reasoning capabilities, and effectively sharing insights with both research and engineering teams.Essential Qualifications:Demonstrated experience with LLMs or VLMs in both research and production environments.Strong foundational knowledge in Natural Language Processing, Machine Learning, or related fields, particularly in language model development.A proven history of tackling complex challenges in language understanding and generation, employing rigorous quantitative methods.Exceptional communication skills for conveying research findings to varied technical audiences.Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow, alongside experience in distributed training and model optimization.Desirable Qualifications:PhD in Computer Science, Computational Linguistics, or a closely related discipline with an emphasis on language models and adaptive learning frameworks.Substantial research and engineering background with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, supported by grants, fellowships, patents, or contributions to open-source initiatives.First-author publications in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals focusing on language models, meta-learning, hypernetworks, or adaptive AI.Preferred Technical Expertise:In-depth research knowledge in LLM reasoning, hypernetworks, multi-task learning, meta-learning, and the design of innovative LLM adaptation techniques, including online continual learning.

Join the Revolution at ALSO.At ALSO, we are pioneers in electric mobility, initially established as a part of Rivian. Our dynamic team is made up of builders, dreamers, and innovators dedicated to crafting revolutionary vertically integrated small electric vehicles (EVs) that tackle the mobility challenges of today and tomorrow. Our mission is to encourage everyone to switch to ALSO, transforming local car, truck, and SUV travel into rides on more affordable, enjoyable, and significantly more efficient vehicles, boasting efficiency improvements of 10-50 times.We are actively seeking a Vehicle Modeling and Data Analyst Engineer to play a pivotal role in ensuring the reliability of our cutting-edge electric mobility vehicles throughout their development lifecycle. As a Physical Systems Modeling & Data Analyst, you will connect theoretical modeling with actual performance. Your responsibilities will include building and enhancing physics-based and data-driven models of vehicle systems such as powertrains, batteries, thermal management, and structural components. You will analyze telemetry and fleet data to guide engineering design choices, testing protocols, and product development.

AI Research Engineer, World ModelsPalo Alto, CA (On-site)About 1XAt 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various industries.The RoleAs an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.

At Inflection AI, we are dedicated to leveraging the transformative capabilities of artificial intelligence to enhance human well-being and productivity.The future of AI will be characterized by agents we can trust to act on our behalf.We are at the forefront of this evolution with our human-centric AI models that integrate emotional intelligence (EQ) with cognitive intelligence (IQ), shifting interactions from mere transactions to meaningful relationships, thereby generating lasting value for individuals and organizations alike.Our initiatives manifest in two primary forms:Pi, your personal AI, designed to be a compassionate companion that enriches everyday life through practical support and insights.Platform — large language models (LLMs) and APIs that empower developers, agents, and enterprises to infuse Pi-level emotional intelligence into experiences where empathy and understanding are crucial.We are building towards a future of AI agents that foster trust, enhance understanding, and create aligned, long-term value for everyone.About the RoleAs a Model Training Engineer, you will be responsible for designing, building, and scaling post-training pipelines that transform general LLMs into brand-fluent, production-ready assistants. Your innovations in fine-tuning and preference optimization techniques (RLHF, DPO, GRPO, RLAIF) will significantly enhance reliability, alignment, and cost-effectiveness.

Lead Staff Software EngineerLocation: Hybrid - Palo Alto Office (Tuesdays and Thursdays)Your ImpactJoin our team at MidiHealth as a Lead Staff Software Engineer, where you will play a crucial role in shaping the future of women's healthcare technology. You will be a core technical leader within our engineering organization, translating intricate concepts into actionable technical roadmaps and innovative products that drive our mission forward.Your ResponsibilitiesEvaluate complex technical challenges and spearhead architectural assessments across teams, mitigating technical debt and fostering sustainable, cross-service patterns within Midi’s healthcare ecosystem.Serve as a 'part-time product manager for technology,' championing essential infrastructure enhancements to boost business agility.Design and implement high-quality, scalable products and code, ensuring a balance between swift execution and long-term scalability.Contribute actively to our engineering culture by establishing best practices for automated testing, CI/CD, and maintaining high code quality throughout our technology stack.Assess overarching technical and business challenges, crafting elegant solutions that support both scalability and business growth.Collaborate closely with Executive Leadership, Product, Marketing, and Clinical teams to uncover unmet customer and operational needs, translating these insights into effective technical strategies that enhance outcomes for our patients and clinicians.Mentor and guide both senior and junior engineers, nurturing a culture of curiosity, humility, and technical excellence.

Backend Software EngineerConfluera is an innovative cybersecurity startup backed by Series B funding, dedicated to safeguarding the cyber landscape. Our mission is to fortify enterprises today to ensure a more secure tomorrow. We provide a comprehensive solution that enhances visibility across cloud environments, empowering cybersecurity leaders with real-time attack prevention capabilities.Key Responsibilities- Design and construct distributed systems capable of processing vast amounts of data.- Develop, maintain, and optimize APIs and systems for scalable product enablement.- Create advanced models and features to improve anomaly detection accuracy.- Collaborate and communicate effectively with Product, Design, and Engineering teams.- Rapidly develop and iterate on solutions while upholding high-quality standards.Required Qualifications- Proficiency in programming languages such as Java and Python.- Experience with streaming platforms like Kafka.- Familiarity with stream processing frameworks, including Spark.- Understanding of distributed systems architecture.Preferred Qualifications- Prior experience working with streaming and stream processing systems (Kafka, Spark, etc.).- Knowledge in building ETL pipelines.- Experience delivering and maintaining large-scale production systems.- Leadership experience in technical projects.Educational Background- A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent professional experience.

Join our dynamic team at xAI, where we are committed to developing cutting-edge AI systems that understand the universe and support humanity's quest for knowledge. As an Outstanding Software Engineer, you will tackle critical product challenges and engage in hands-on projects that drive our mission forward. We value curiosity, initiative, and a strong work ethic in a collaborative, meritocratic environment. Your ability to communicate effectively and share knowledge with your peers will be instrumental in our success.

At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world environments and addressing scenarios that are not encountered during training. We operate at the confluence of large-scale learning, robotics, and systems, with a research team that includes esteemed researchers from Stanford, Berkeley, Harvard, and other renowned institutions. Rather than merely enhancing a feature, we are constructing an entirely new computing platform dedicated to physical tasks. With over $400M raised, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to realize this vision.Key ResponsibilitiesLead research initiatives focused on foundational models and world models for robotics, including representation learning, dynamics/prediction, planning, and control.Define research challenges and formulate hypotheses rooted in real-world robotic autonomy requirements.Design and execute rigorous experiments at scale, encompassing ablations, benchmarking, and evaluation methodologies.Develop and assess model architectures aimed at enhancing long-horizon predictions, rollout quality, and overall robotic task performance.Investigate and improve pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large multimodal models.Collaborate closely with Research Engineers to translate innovative ideas into scalable training pipelines and dependable systems.Effectively communicate research findings through internal documentation, presentations, and reviews.Publish and present research at prestigious venues.Required QualificationsPh.D. in a relevant discipline such as Machine Learning, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or Computer Vision.Demonstrated strong publication record in high-quality research (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR).In-depth knowledge of current machine learning techniques, particularly in areas such as:Deep learning and representation learning.Sequence modeling and transformers.Generative modeling (e.g., diffusion, autoregressive, latent-variable models).

Role OverviewJoin Nace.ai as a Tax Consultant / Tax Model Reviewer, where you will independently evaluate and test our advanced tax models. Your key responsibility will be to critically analyze the underlying assumptions in our models, pinpoint errors and inconsistencies, and offer actionable recommendations for improvements. You will ensure that our models adhere to relevant tax laws and practical standards, thereby playing a vital role in maintaining the accuracy and reliability of our tax outputs. In addition, you will engage in Model Training, Performance and Accuracy Optimization, Dataset Curation, and Product Testing.Key Responsibilities:Conduct comprehensive reviews of tax models and algorithms utilized by Nace.ai.Identify erroneous assumptions, questionable calculations, and logical inconsistencies in tax-related model outputs.Evaluate whether existing models accurately reflect regulatory requirements and practical tax rules.Provide clear and actionable recommendations for corrections and logic adjustments.Articulate the rationale behind identifying specific approaches as incorrect and the potential risks involved.Assist Product and Engineering teams in understanding tax limitations, risks, and business logic that impact the models.Engage in discussions and offer expert insights during the design of new tax-related features.Qualifications:Minimum of 5 years of professional experience in tax consulting, audit & tax, or a related advisory capacity.Thorough knowledge of the U.S. tax system, including federal, state, and local tax regulations, with hands-on experience interpreting IRS guidelines and applying U.S. corporate and indirect tax rules in practical scenarios.Significant expertise in enterprise and individual tax regulations.Demonstrated ability to critically review models, financial, tax, and regulatory assumptions, as well as validate calculations.Strong analytical skills and structured thinking, with meticulous attention to detail.Exceptional communication skills to effectively articulate complex concepts.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to efficiently locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right moment, enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, allowing teams to leverage their collective intelligence faster and more effectively.Glean was established by Founder & CEO Arvind Jain, who recognized the challenges employees encounter in sourcing and comprehending information at work. Witnessing the fragmentation of knowledge and the challenges posed by numerous SaaS tools, he aimed to create a better solution—an AI-enabled enterprise search platform that facilitates swift and intuitive access to essential information. Since its inception, Glean has evolved into the leading Work AI platform, merging enterprise-grade search capabilities with an AI assistant and advanced application- and agent-building functionalities, fundamentally transforming how employees operate.About the Role:Glean is on the lookout for a skilled Infrastructure Engineer to design and advance the platform that maintains a highly available, efficient, secure, and cost-effective infrastructure across multiple cloud environments. You will be responsible for delivering intricate components featuring refined automation, robust uptime assurances, autoscaling, and dependable alerting/monitoring for infrastructure that operates across various cloud providers. As a member of the Platform team, you will oversee critical aspects of Glean’s infrastructure, collaborating closely with other teams to support their workloads.

Join a Transformative CompanyPalantir Technologies is at the forefront of developing cutting-edge software that enables organizations to make data-driven decisions and streamline operations. Our innovative platforms empower partners to tackle significant challenges, such as developing lifesaving medications, predicting supply chain interruptions, and locating missing persons.Role OverviewAs part of Palantir's defense product division, you will contribute to mission-critical applications designed for modern military operations. Our products facilitate secure data integration and visualization, allowing for the creation of complex systems, including common operating pictures, alert triaging systems, and resource allocation tools powered by advanced machine learning models. These tools are essential for daily operations in military command centers and on the battlefield, relied upon by our global clientele.As a Backend Software Engineer at Palantir, you will play a pivotal role in reshaping how organizations harness data. You will engage in every phase of the product lifecycle, from conception and design to prototyping and deployment. Collaboration is key; you will work alongside both technical and non-technical team members to grasp our clients' challenges and develop effective solutions. We promote inter-team mobility to foster the sharing of insights, skills, and experiences, allowing you to expand your knowledge across various technologies and product facets. You will work autonomously, making independent decisions while being supported by a community that encourages your growth as a technical contributor and engineering leader.Your daily tasks will be dynamic, adjusting to user demands and technical challenges. One day, you might join forces with fellow engineers to design a new system that supports a unique workflow; the next, you could be optimizing performance for low-latency operational requirements.Our Product Development teams consist of small groups of Software Engineers, each dedicated to specific product aspects, collaborating to enhance user workflows and continuously improve our software's efficiency and reliability.We are seeking passionate engineers eager to tackle real-world challenges and empower developers and end-users to maximize their productivity. If you are driven to create reliable, high-performance, and scalable systems while designing robust APIs and components, we encourage you to apply.

PsiQuantum is hiring a Senior Manager of Quantum Model Validation. This role leads a team responsible for validating the quantum models that support the company's technology. The position is open to candidates in Palo Alto, California, or those who prefer to work remotely. Key responsibilities Direct the assessment of quantum models, focusing on their accuracy and reliability Lead and mentor a team of subject matter experts in quantum model validation Collaborate with teams across PsiQuantum to support and strengthen quantum computing systems Play a role in advancing the company's quantum technology Team leadership This position involves guiding a group of experts and working with colleagues throughout the company to ensure high standards in quantum model validation. The work directly supports PsiQuantum's mission to develop advanced quantum computing systems.

About xAIAt xAI, we are driven by our mission to develop AI systems that can profoundly comprehend the universe and support humanity in its quest for knowledge. Our team is composed of passionate and highly-driven individuals committed to engineering excellence. We value those who challenge themselves and thrive in a culture of curiosity. Operating with a flat organizational structure, we empower our employees to be proactive contributors to our mission. Initiative and a track record of delivering exceptional results are highly regarded. Strong work ethic and effective prioritization skills are essential, as well as excellent communication abilities to share insights succinctly with teammates.About the RoleWe are on the lookout for outstanding media engineers who are eager to embark on an innovative project that integrates xAI’s cutting-edge AI infrastructure into a platform that engages approximately 600 million users every month. This role presents a unique opportunity to leverage xAI’s technology stack to revolutionize the video product experience, encompassing aspects like video playback, live streaming, Spaces, and audio/video calls. Join us to make a significant impact while utilizing powerful AI tools and collaborating with talented colleagues at xAI.

Join PsiQuantum, a pioneering force dedicated to creating the first practical quantum computers that will revolutionize various industries. Since our inception in 2016, we have been unwavering in our mission to construct and implement million-qubit, fault-tolerant quantum systems.Our innovative quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the capabilities of the most sophisticated supercomputers and AI technologies. The transformative potential of these machines will benefit fields such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science.Utilizing silicon photonics as the foundation of our architecture, we capitalize on advanced semiconductor manufacturing techniques—partnering with leaders like GlobalFoundries. This approach allows us to employ high-volume processes that already produce billions of chips for telecommunications and consumer electronics. The benefits of photonics are clear: they are immune to heat, unaffected by electromagnetic interference, and seamlessly integrate with current cryogenic cooling systems and standard fiber-optic infrastructures.In 2024, we announced significant government-funded projects aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives illustrate the growing acknowledgment of quantum computing's strategic and economic significance, emphasizing the urgency to scale our efforts.At PsiQuantum, we are also focused on developing the algorithms and software necessary for these systems to achieve commercial viability. Our application and software teams collaborate with prestigious Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to optimize quantum solutions for real-world applications.Quantum computing signifies not merely an extension of classical computing but a radical transformation, offering pathways to tackle challenges that cannot be addressed through any other means. The opportunities are vast, and we are committed to making this vision a tangible reality.We invite you to be a part of this groundbreaking journey.

This is a hybrid position based in our Palo Alto office, requiring in-office attendance on Tuesdays and Thursdays.Why This Role Stands Out?Join a rapidly expanding team at Grindr, where our user base has surged by 30% in the past year! We are in search of a seasoned Backend Engineer who is enthusiastic about building, testing, and deploying robust features alongside our Product team. This is your chance to tackle intriguing challenges, engage with cutting-edge technologies, collaborate with a talented team, and make significant contributions.Key Responsibilities:Become an integral part of a backend team of over 10 engineers, focusing on vital features that cater to millions of active daily users.Lead projects and mentor fellow engineers in implementing new functionalities while closely collaborating with product and design teams.Take ownership of designing and developing Grindr’s backend services within a stable and scalable microservices architecture.Work closely with Product Managers, Designers, and fellow Engineers to refine feature design and functionality.Enhance Grindr's platform using tools such as Redis, Postgres, and Kafka on AWS services.Drive innovation through data-informed decisions regarding new technologies, architectures, and workflows.Ensure high availability of Grindr’s platform by utilizing distributed systems and infrastructure engineering, while playing a pivotal role in optimizations, cost reduction, and incident management.Guide and mentor team members through pairing sessions, code reviews, and architecture discussions.What We Value in You:A minimum of 7 years of experience as a Software Engineer with a focus on Backend Systems (Service APIs, Data Processing, Messaging Services).Proven experience in designing and implementing large-scale systems for high load and data consistency within a microservice architecture.Expertise in designing systems that leverage Cloud Services, preferably AWS.A strong passion for software and system testing.In-depth understanding of concurrency concepts and associated trade-offs.A natural curiosity for troubleshooting and comprehending systems end-to-end.

Join ALTEN Technology USA, a pioneering engineering firm that empowers clients to transform innovative concepts into reality, from advancing space exploration and developing life-saving medical devices to creating autonomous electric vehicles. With a talented team of over 3,000 professionals across North America, we collaborate with industry leaders in aerospace, medical devices, robotics, automotive, commercial vehicles, electric vehicles, rail, and beyond.As a member of the global ALTEN Group, which boasts over 57,000 engineers across 30 countries, we cover the full spectrum of product development, from initial consulting to complete project outsourcing.At ALTEN Technology USA, you will tackle some of the most complex engineering challenges on the planet, backed by strong mentorship, abundant career advancement opportunities, and a comprehensive benefits package. We're committed to nurturing a workplace culture where every employee feels valued, supported, and inspired to reach their full potential.We are looking for a Lead Software Test Infrastructure Engineer to enhance our team and facilitate the validation of automotive firmware and applications. In this role, you will design, develop, maintain, and scale automated testing frameworks and tools that streamline software testing processes. Additionally, you will provide technical leadership, mentor junior engineers, and steer the strategic vision for test infrastructure, CI/CD integration, and simulations. Your deep knowledge of embedded systems and the automotive industry will be crucial in ensuring the quality and reliability of our software solutions.

About xAIAt xAI, we're on a mission to develop AI systems that not only understand the universe but also empower humanity in its quest for knowledge. Our team is compact, driven, and dedicated to engineering excellence. We welcome individuals who thrive on intellectual challenges and have a passion for curiosity. Operating within a flat organizational structure, we encourage all team members to be hands-on in contributing to our mission. Leadership opportunities are available for those who demonstrate initiative and consistently deliver outstanding results. Strong work ethic and prioritization skills are paramount. Effective communication is a must, as team members should be adept at sharing insights and knowledge with their peers. About the TeamThe Observability team is responsible for constructing and managing the essential infrastructure that allows engineers to monitor, troubleshoot, and enhance the performance and reliability of their systems. We process telemetry at an enormous scale, managing billions of time series and petabytes of logs, all while adhering to rigorous performance and availability standards.About the RoleAs part of a dynamic and impactful team, you will play a vital role in developing and maintaining xAI’s observability platform. You will take ownership of critical systems that facilitate metrics, logs, tracing, and alerting, enabling engineering teams to operate services at scale, preemptively identify issues before they affect users, and drive systemic improvements in reliability.What You’ll DoDesign and implement scalable observability infrastructure for metrics, logging, and tracing.Build high-performance telemetry pipelines capable of managing extensive ingestion volumes.Develop APIs, query engines, and user interfaces that deliver real-time insights into services.Establish and reinforce best practices for instrumentation, alerting, and reliability throughout the organization.Collaborate with infrastructure and product teams to seamlessly integrate observability into our internal platforms.Maintain end-to-end ownership of the reliability, scalability, and performance of the observability stack.

Join Mashgin as an Infrastructure Software Engineer and be a part of our innovative team dedicated to enhancing the efficiency of our cutting-edge technology. You will play a critical role in designing, developing, and maintaining robust infrastructure systems that power our products and services. Your expertise will help us streamline operations, improve performance, and ensure reliability across our platforms.