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Job Description Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. Backed by leading investors including Lux Capital, Initialized Capital, Blackhorn Ventures, and Mitsubishi HC Capital North America, Formic is scaling rapidly and building the foundation for a new era of high-performance, Made in America production. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. In this role you will: • Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms, • Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools, • Implement and evaluate approaches such as:, • Action Chunking with Transformers (ACT), • Diffusion Policies, • Behavior Cloning at Scale, • Vision-Language-Action (VLA) models, • Latent action or hierarchical skill models, • Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks, • Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer, • Build teleoperation-to-training data pipelines, • Design sim-to-real transfer strategies including domain randomization and system identification, • Evaluate policy robustness, generalization, and real-world performance, • Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies, • Experience training embodied AI policies for real robots, • Familiarity with transformer-based action models (e.g., ACT), • Experience with diffusion policies or other generative control methods, • Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models), • Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability), • Strong understanding of sim-to-real challenges, • Experience working with multi-modal inputs (vision, proprioception, language), • Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.), • Experience integrating learned policies with real-time control systems, • Equity in Formic: Participate in our stock option program and share in the success of a fast-growing start-up backed by leading global investors, • Competitive & Uncapped Commission Structure: Designed to reward performance and impact in commission-eligible roles, • Comprehensive Healthcare Coverage: Medical, dental, and vision insurance through Blue Cross Blue Shield and Unum, with 99% of employee premiums covered and 75% coverage for dependents, with optional buy-up plans available, • Additional Insurance Benefits: FSA and DCFSA, life insurance, short-term disability, and long-term disability through Unum, all 100% employer-paid, • Employee Assistance Program (EAP): Fully funded by Formic, offering support when you need it most, • Paid Parental Leave Program: Up to 12 weeks of paid parental leave, • Company-sponsored 401(k): Invest in your future with our company-facilitated retirement savings plan, • Home Office Stipend: A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road work setup, • Monthly Cell Phone Reimbursement: Monthly stipend toward personal phone and internet expenses Final offers are customized based on experience, geographic location, market considerations, and a candidate's preferred balance of cash and equity. Our goal is to attract and reward top talent who will have significant impact, and we are open to thoughtful discussions to align on the right structure. Compensation Range:$145,000—$200,000 USD What we look for: We're building this company from the ground up, and every person we hire has an outsized impact on our culture, performance, and trajectory. While each team member brings unique strengths and perspectives, we look for people who align with our Operating Principles and embody them in action. If this sounds like you, Formic may be the right place for you! • Fearless Optimism: You make bold bets and default optimistic. You believe in the mission, aren't paralyzed by risk, and fear inaction more than failure. You see ambiguity as opportunity and bring energy to building what doesn't yet exist., • Create the Magic: You absorb complexity so customers don't have to. Whether your customer is external or internal, you focus on delivering experiences that are clear, fast, value-added, and outcome-driven. You don't say "not my job." You make things work., • Today, Not Tomorrow: You have a bias to action. You close the loop. You take extreme ownership. You understand that speed compounds, and you don't confuse activity with results., • Seek Truth: You think from first principles. You value data over ego and strong opinions loosely held. You're willing to challenge assumptions, including your own, in pursuit of the best answer., • Made of Rubber: You are resolute and adaptable. When things break or priorities shift, you rebound stronger. You treat setbacks as learning moments and move forward with grit. Formic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, or any other basis protected by law. All employment decisions are based on a person's merit, business needs, and role requirements. If you require further accommodations or have questions regarding accessibility of our roles, please reach out to . AI Use: At Formic, fairness and transparency are at the heart of our hiring process. We use AI-powered tools in some interviews to help our teams evaluate candidate responses, but all final hiring decisions are made by humans. You can learn more about how AI is used in our recruitment process by reviewing our AI Hiring Disclosure linked here.

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're building tools for the full Physical AI data stack — from data acquisition, through ingestion and curation at scale, to 3D rendering, annotation, and verification. You'll solve problems of large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers. You'll work with the biggest names in robotics and autonomous vehicles, and join a small, highly collaborative team at a crucial stage of accelerated development. You'll be a key driver of progress on a core part of our product, operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions at speed. What you'll do • Build and maintain high-performance frontend experiences, including rendering complex 3D scenes with thousands of objects at smooth frame rates, • Work across the full stack — from backend data pipelines and storage systems to frontend visualisation and interaction, • Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact, • Work with visual, spatial, and sensor data to make sense of the physical world, • Tackle complex domains at massive scale using simple, well-crafted solutions, • Take initiative, be proactive in problem-solving, and continuously seek improvementsWho we're looking for, • Experienced: you've seen a lot and built a lot — personally developed and maintained multiple systems from scratch, with a deep understanding of the trade-offs involved in building reliable, performant software at speed, • At home with challenging frontend work: you're comfortable rendering complex 3D scenes, working with spatial and sensor data, and optimising for browser performance, • Impact-driven: you want your work to have a tangible outcome for people and aren't satisfied by products that don't see the light of day, • A builder: you enjoy all aspects of building a complete product, are comfortable moving across the stack, and love problem-solving from first principles, • Comfortable with uncertainty: happy to tackle problems without a predefined solution, and excited to make decisions autonomously as you go, • A team player: you contribute your best work and actively help others do the same — you enjoy levelling up those around youExperience requirements, • Strong full-stack engineering experience, with a particular strength in complex, high-performance frontend work, • Experience with 3D rendering, WebGL, or similar technologies for visualising spatial/sensor data is a strong plus, • Proficiency in Python and/or TypeScript; experience with React a plus, • Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes), • Backend: Python, • Frontend: TypeScript and React, • Deployment: Kubernetes, • Infrastructure: GCP, • Machine learning: PyTorch, CUDA, RayWhy Encord, • Competitive salary, commission, and meaningful equity in a high-growth startup, • Clear, accelerated growth opportunities as the company scales rapidly, • Strong in-person culture: 4–5 days/week in our newly launched North Beach loft office, • Flexible PTO to fully recharge, • 18 paid vacation days in the U.S. plus federal holidays, • Annual learning & development budget, • Comprehensive health, dental, and vision coverage, • Frequent travel opportunities across the U.S., London, and Europe

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will..- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications:- 3-5 years of experience in MLOps, DevOps or a related field.- Bachelor’s degree in Computer Science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.- Strong problem-solving skills and ability to troubleshoot complex issues.- Experience with monitoring tools and practices for model performance in production.- Ability to work collaboratively in cross-functional teams. Bonus/nice to have: - Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.- Knowledge of big data technologies like Apache Spark or Hadoop.- Familiarity with data engineering practices and tools.- Experience with A/B testing and model validation in production environments.- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description About Sia Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path—using techniques like RAG, agents, or fine-tuning—for cost-effective impact. Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference. Responsibilities: • LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques., • Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications., • Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.)., • Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions., • RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution)., • Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities., • Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP)., • Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes., • Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing., • Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical)., • Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference., • Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis). Qualifications Education: • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field., • Strong programming skills, particularly in Python., • Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.)., • Proven experience in NLP/NLU, vector embeddings, and semantic search., • Hands-on experience with fine-tuning LLMs., • Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.)., • Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.)., • Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services., • Excellent communication skills (written and verbal), ability to explain complex technical concepts simply., • Strong analytical and complex problem-solving abilities., • Team player with the ability to collaborate effectively with diverse profiles., • Experience building agentic AI systems (e.g., LangGraph, AutoGen)., • Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch)., • Experience developing conversational AI systems / chatbots., • Familiarity with deep learning frameworks (PyTorch, TensorFlow)., • Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP)., • Experience deploying models at scale in production environments. Additional Information Compensation & Benefits • Base salary starting at $105,000, commensurate with experience and qualifications, • Annual Discretionary Bonus, • Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha, • Flexible Spending Account (FSA), • Paid Time Off, • Parental leave paid at 100% of base pay for all new parents, • 9 Company Holidays + 1 Floating Holiday, • 401(k) Plan - 4% matching and vested on day 1, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Pre-tax account for Parking and Mass Transit, • Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as:, • Gym Reimbursement, • LiveHealth Online, • Well-being Coach, • Building Healthy Families Program At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job DescriptionSalary: $25 - $27/hr POSITION SUMMARY Position Title: Summer Intern, Bioinformatics and Data Science Reports to: Associate Director, Bioinformatics Status: Full-time, Non-Exempt, Summer Intern Duration: 10 12 Weeks (Summer 2026) Location: South San Francisco, CA (Hybrid or Remote) Summary: A summer internship opportunity is available for an undergraduate student interested in applying computational and artificial intelligence/machine learning (AI/ML) methods to biological and chemical data in a drug discovery setting. The intern will work closely with a cross-functional team spanning bioinformatics, machine learning, chemistry, and biology. This intern will be paired with a dedicated mentor to guide the student through this process and be a full member of the team throughout the internship. The intern will also have plenty of opportunities for networking and career development through conversations with people across multiple roles and teams at Assembly Bio. This role emphasizes hands-on experience with real datasets and exposure to modern computational pipelines used in early-stage therapeutic development. Specific responsibilities include, but are not limited to: • Analyzing biological and chemical datasets (e.g., RNA-seq, single-cell, proteomics or screening data) using Python or R, • Supporting development, testing and optimization of bioinformatics, cheminformatics and AI/ML pipelines, • Documenting workflows and results in a reproducible manner, • Presenting findings in internal meetings and contributing to reports Qualifications Include: • Pursuing a degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field, • Strong programming skills in Python and/or R, • Some familiarity with common bioinformatics tools and libraries (e.g., Bioconductor, Scanpy,Seurat,PyTorch, TensorFlow), • Understanding of molecular biology concepts (e.g., gene expression, sequencing technologies), • Experience with statistical analysis and data visualization, • Ability to work independently and in a collaborative environment Preferred (Not Required) • Experience with single-cell data analysis, NGS pipelines, or cloud computing, • Exposure to machine learning or deep learningmethods in biological contexts, • Familiarity with version control (e.g., Git) What You Will Gain • Hands-on experience with real-world drug discovery datasets, • Exposure to interdisciplinary workflows bridging computation and biology, • Opportunity to contribute to impactful research in a fast-paced biotech environment How to Apply Please submit: • Resume/CV, • Brief statement of interest (12 paragraphs), • Optional: GitHub or project portfolio Pay Range: $25 - $27/hr The stated pay range for this position reflects the San Francisco Bay Area job market. Assembly Bio establishes pay ranges based on geographic work locations. Additional factors such as academic credentials and relevant experience will influence the actual salary offered. About Assembly Bio Assembly Bio (NASDAQ: ASMB) is an ambitious biopharmaceutical company with cutting-edge therapeutic clinical candidates capable of improving the lives of millions living with chronic hepatitis B virus (HBV) infection around the world, and research and preclinical programs focused on the discovery of novel antivirals to treat devastating viral diseases, including HBV, hepatitis delta virus (HDV) and herpesviruses. We pride ourselves on creating a culture and work environment that is scientifically driven, ambitious, and collaborative. We encourage diversity of thought that leads to great innovation and are looking to add great people to our dynamic team who are driven to transform the lives of patients. We set our sights highand pursue our goals with determination. Our unique organization stands ready to welcome talented, motivated individuals, who share our ambitions. As an equal opportunity employer, we are committed to diversity and inclusion and will not tolerate discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Information for Recruitment Agencies Assembly Bio does not accept from recruiters/agencies any unsolicited resumes, or any candidate information including blinded resumes and will not be responsible for any fees related to resumes or candidate information that is unsolicited. Please do not contact hiring managers or Assembly Bio employees directly with any information related to a resume or a candidate. We handle all recruitment through our internal Human Resources team, and we will reach out to you directly should we wish to engage in a search. Your willingness to comply with this will significantly impact any decision we may make about doing business with you.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.- Work with researchers and ML engineers on best-practices for optimal resource usage.- Create and improve tooling and dashboards to ensure broad adoption of your work. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch or Jax.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.- Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * As an early engineer, you'll receive generous equity compensation * Full-time role at our San Francisco, CA office * Flexible working hours * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 5+ years of experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will...- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.- Experience working on applied research projects.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications. Bonus/nice to have:- Master/PhD in machine learning, computer science, engineering, or a related field.- Experience in shipping machine learning features/models into production.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics - including cell therapies, gene therapies, mRNA therapies, and more. Currently, advanced biological therapies are produced through manual, labor-intensive processes. This keeps costs astronomical—often exceeding $0.5M-$2M per patient—and limits access to only a fraction of those in need. As labor scarcity for scientists compound against increased product complexity and sky-high costs of failure, the emergence of robotics and AI makes the automated manufacturing of biologics feasible, reliable, and economically scalable. We envision that the biomanufacturing factory of the future is fully robotic - closed, automated, and scalable, making therapeutics for some of the most important indications for patients today widely accessible. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role At Multiply Labs, we are applying AI to solve complex manipulation challenges in robotic cell therapy manufacturing. We're looking for a Research Scientist specializing in robotic manipulation to develop the next generation of our intelligent robotic systems. You will be responsible for developing frontier research results, developing and deploying practical systems with a core focus on dexterous & mobile manipulation.You will work closely with a multi-disciplinary team and directly impacting our mission to manufacture life-saving therapies at scale.Responsibilities include: • Research focused on advancing robotic manipulation systems by developing exciting new ideas and providing solutions to complex problems, • Collaborate on publications to be submitted at worldwide conferences, • Working with fellow researchers and engineers to develop prototypes, • Apply yours and others’ research to real world problemsRequirements, • MS or PhD in a robotics-relevant field, • 5+ years of experience in research and development, • A strong theoretical and practical understanding of modern approaches for robotic manipulation, which might include imitation learning, reinforcement learning, and vision-language-action (VLA) models, • High proficiency with Python and deep learning frameworks (e.g., PyTorch)., • Experience collaborating in large and complex code bases, • Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet)., • A track record of deploying onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids., • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields, • Robotics: ICRA, IROS, CoRL, RSS, TRO, IJRR, etc, • Computer vision: CVPR, ICCV, ECCV, etc, • Machine Learning: NeurIPS, ICLR, ICML, etcNice to Haves, • The following is an example list of expertise - because robotics is such a broad umbrella, we do not expect candidates to check every item here; if you have an expertise that is not listed here, please also let us know via the cover letter., • Experience with planning algorithms (A, RRT, PRM, etc), • Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc), • Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc), • Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc), • Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc), • Experience with task planning (TAMP, STRIPS, MDPs, etc), • Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $210,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team.

Job Description As our business continues to grow, we are expanding our capabilities in harnessing cutting-edge AI advancements. We seek a highly motivated problem solver who thrives in addressing complex challenges with innovative solutions. This team is dedicated to adapting the latest AI technologies to drive value for our business. You'll be joining a small, focused, and fast paced team that plays a critical role within a broader organization of excellence. If you're eager to be at the forefront of AI innovation and ready for impactful work, we want to hear from you. This team and this position are physically located in our downtown San Francisco, CA office. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: • Develop, maintain, and enhance complex software systems leveraging state-of-the-art AI models., • Conduct requirements analysis, software design, peer reviews, and maintain thorough documentation., • Implement software engineering best practices including iterative development, rigorous unit testing, version control, and detailed code inspections., • Build, manage, and optimize machine learning pipelines ensuring high availability and scalability., • Design, execute, and analyze experiments to validate and enhance machine learning models and pipelines. Qualifications: • Strong .NET, .NET Core and C# skills., • Strong Python programming experience., • Familiarity with the latest developments in AI, regularly working with large language models (LLMs)., • Proven experience leveraging AI tools such as Cursor, ChatGPT, or Copilot to enhance development speed and efficiency., • Experience building API Microservices., • Working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries., • Object oriented programming principles., • Commitment to rigorous testing, experimentation, and data-driven decision-making., • Ability to work both independently and within a small, focused team environment., • Must be self-directed, analytical, adept to problem solving, and have a strong attention to detail., • Demonstrated ability to produce quality products under tight and strict deadlines. EDUCATION & EXPERIENCE: • Bachelor’s degree in Computer Science, Engineering, or a related field., • Minimum of 5 years’ experience in software engineering, data engineering, or data science., • Demonstrated cloud experience, particularly with Azure., • Hands-on experience with big data ecosystem products/languages such as Databricks, Snowflake, Spark, Python OSS, Impala, Solr, Kudu, etc., • Practical experience using machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn., • Experience with ETL processing, data access and consumption., • Proven ability to translate business requirements into effective, data-driven solutions. PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $97,019 – $163,027 A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CORVEL: CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Onsite

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds. This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale. You will… • Conduct fundamental and applied research in neural reconstruction, including:, • 3DGS / NeRF, • Dynamic scene reconstruction, • Feed-forward reconstruction, • Multi-sensor scene representation learning, • Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure., • Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated first-author publications in top-tier venues on topics such as:, • 3DGS / NeRF / neural rendering, • 3D / 4D reconstruction, • Generalizable reconstruction, • Geometry-aware or multi-sensor representation learning, • Experience working with camera, LiDAR, maps, and large-scale driving datasets.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will...- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects and shipping machine learning features/models into production.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: * Video generation and prediction * Latent diffusion / autoregressive / flow-matching models * multimodal foundation models for driving scenes * LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario modeling and controllable simulation * Model distillation • Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines., • Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets., • Build large scale data pipelines to build high quality datasets for training, • Ensure the quality, stability, and maintainability of the world model codebase and infrastructure., • Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics. Qualifications: • Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment., • Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling., • Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications., • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. Bonus: • Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray)., • Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).

Job Description Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world, starting with food. We build AI-powered robots that assemble fresh meals at scale for some of the largest food producers in North America — companies making ready-to-eat meals for airlines, retailers, meal kits, and the frozen food aisle. Our robots operate in high-mix, high-variability production environments where ingredients change shape, color, and consistency from one tray to the next. Solving this requires tightly coupled perception, manipulation, and learning — and a team that ships hardware-software systems into customer facilities and keeps them running. Headquartered in San Francisco, we are a venture-backed team of robotics, ML, and operations engineers building the foundation for general-purpose food robotics. About the Role Chef Robotics is building autonomous robots that work alongside humans in commercial food preparation environments — and perception is at the heart of what makes them reliable. As a Perception Engineer, you will own the full stack of how our robots see and understand the world: from integrating cutting-edge camera hardware, to training production-grade deep learning models, to ensuring those models perform accurately and efficiently in real-time on the factory floor. You will work on some of the most technically rich problems in applied robotics — dense instance segmentation of deformable food items, real-time inference under tight latency constraints, sensor fusion, and robust tracking in cluttered, dynamic environments. You will not just train models; you will design the pipelines that gather and curate data, define the architectures that balance accuracy and speed, and own the deployment and field troubleshooting of what you build. We are a small, high-ownership team. We work onsite five days a week and move with startup urgency — you will be expected to go deep technically while staying pragmatic about what ships.In this role, you will: • Design, train, and optimize deep learning models for detection, segmentation, segmentation, pose estimation, and classification — with a focus on real-world robustness over benchmark performance., • Build low-latency inference pipelines that approach real-time performance; profile and optimize models for deployment on embedded and edge hardware., • Develop and improve multi-object tracking algorithms for reliable identification and motion prediction of items across frames., • Solve challenging perception problems specific to food robotics: deformable objects, occlusions, varying lighting, and high visual similarity between categories., • Own the end-to-end ML lifecycle: data collection strategy, annotation tooling, dataset curation, augmentation pipelines, model training, evaluation, deployment, and field debugging., • Develop tooling to monitor model performance in production and drive continuous improvement cycles., • Partner closely with robotics, hardware, and software engineers to translate perception capabilities into reliable end-to-end robot behaviors., • Help define the perception roadmap and influence technical direction as the team grows., • Assist in integrating new cameras and sensors for enhanced robotic vision.What You Bring:, • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a closely related field., • 5+ years of combined research and industry experience in computer vision and machine learning, with a track record of shipping perception systems to production., • Deep expertise in at least two of: instance/semantic segmentation, object detection, 3D perception, or multi-object tracking., • Strong Python skills; experience building production-quality, maintainable code — not just research prototypes., • Hands-on experience with deep learning frameworks (PyTorch strongly preferred) and the full training pipeline from data to deployed model., • Experience working with RGBD sensors, depth cameras, and point cloud data., • Proven ability to build and optimize models for low-latency, real-time inference., • Familiarity with ROS or similar robotics middleware.Nice-to-have:, • Experience using simulation environments (e.g. Isaac Sim, Gazebo) for synthetic data generation, domain randomization, and sim-to-real transfer of perception models., • C++ proficiency for performance-critical modules and embedded deployment., • Experience with cloud ML infrastructure (GCP, AWS) and containerization (Docker, Kubernetes)., • Background in autonomous vehicles, warehouse robotics, or other perception-heavy robotics applications.

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable and maintainable solutions to challenging problems - both technical and product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Mechatronics Engineer 5 Job Title: Mechatronics Engineer 5 Job Type: Fulltime Job Location: SF Bay Area, CA Work Schedule: Onsite Salary- $ 140000-300000 Based on Experience Description Join our team as a mechatronics engineer to develop robotic path planning and computer vision algorithms, as well as lead in system integration and testing (both HW and SW). Collaborate with mechanical, electrical, and software engineers to design, test, and troubleshoot special application end effectors on a 6-axis robot. The ideal candidate is organized, thorough, and thrives in a dynamic, start-up-like environment. Hands-on development and prototyping are essential for success. Responsibilities • Program robotic paths/behaviors for 6-axis arms, • Integrate with ROS/ROS2, • Design a learning pipeline for computer vision algorithms, • Design, build, test, and troubleshoot robotic systems, • Integrate sensors and actuators into robotic systems and analyze and optimize robotic system performance and accuracy, • Create user interfaces for robotic systems, • Own tasks and projects, ensuring proper release and hand-off, • Apply engineering theories and methods to solve technical problems, • Conduct pilot studies and formal experiments (using Design of Experiment principles) to benchmark performance against state-of-the-art approaches using well-reasoned metrics, • Generate reports to support technical recommendations, • Work within cross-functional team and assist in the design, analysis and performance evaluation from concept to completion, • Implement process control techniques like Six Sigma and Lean Manufacturing, • Work onsite in the lab 5 days/week, • Travel occasionally, • Degree in mechatronics, robotics or related field, • 3-10 years of experience in robotics (manipulation) and computer vision, • Excellent intuition with system hardware and physics, • Background in robotics /machine (deep) learning /reinforcement learning, • Experience with C++ and Python in Linux environments, • Strong problem-solving and troubleshooting skills, • Understanding of Design of Experiment (DOE) principles, • Experience with version control (preferably Git), • Ability to work independently, • Understanding of statistical process control and analysis, • Experience in project management, • Preferred:, • Experience with Behavior Tree / MoveIt, • Experience with robotic hardware design and end effector application development., • Proficient in MCAD model creation (Siemens NX, Creo, Solidworks)., • Knowledge of C++, Python, OpenCV, TensorFlow or PyTorch, JS + React, ROS, ROS2, • Experience with web APIs or SDKs, • Embedded Linux experience working with Kernels, • Project management experience About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (/(408) 400-2310) for more details. Company DescriptionMaxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. Specialties: Staff Augmentation Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions Outsourced Services, Administration and Support Contingent Workforce ServicesMaxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. \r\n\r\nSpecialties: \r\nStaff Augmentation \r\nProfessional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions\r\nOutsourced Services, Administration and Support \r\nContingent Workforce Services

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 25; now, we’re 60 and continuing to accelerate. What to expect - High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot compared to your peers. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed. - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role The Cloud Storage team at Crusoe is seeking a Senior Staff Software Engineer to serve as a primary architect and visionary for our storage strategy. While a Staff Engineer leads features, a Senior Staff Engineer defines the multi-year technical roadmap that underpins our AI-scale infrastructure. You will be a multiplier, responsible for the architectural strategy, integrity and global scalability of our bespoke storage services. You will work at the physics of the stack, bridging the gap between high-performance NVMe hardware and globally distributed, S3-competitive object stores. What You’ll Be Working On * Architectural Vision & Strategy: Define and drive the long-term technical strategy for Crusoe’s storage engine. Identify industry trends (e.g., CXL, NVMe-oF) and integrate them into a cohesive roadmap. * System Programming Expertise: Leverage proven experience in system programming with languages such as C, C++, Go, and/or Rust to build the foundations of our V2 storage re-architecture. * Storage Protocols: Architect and implement solutions utilizing industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe/TCP. * Open Source Stewardship: Drive and maintain a track record of contributions to the open-source community (e.g., Ceph, GlusterFS, Lustre, Spectrum Scale, OpenEBS). * Technical Authority: Serve as the final arbiter for critical architecture decisions across the Foundations organization. Lead complex design reviews that intersect storage, networking, and virtualization. * Deep Performance Engineering: Lead "tiger teams" to solve the most ambiguous and difficult bottlenecks in the stack—from kernel-level IO context switching to global tail-latency in distributed clusters. * Strategic Collaboration: Work closely with Executive Leadership and Product to align technical capabilities with business milestones, such as our imminent path to IPO. What You’ll Bring to the Team * Cloud Storage Expertise: 12+ years of experience building and operating large-scale, complex distributed cloud computing infrastructure products. * Troubleshooting & Tuning: Strong troubleshooting and performance tuning skills; ability to profile and optimize the entire IO path. * High-Drive Mindset: Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision. * Masters of Consistency & Durability: Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale. * Software Engineering Fundamentals: Mastery of professional software engineering practices for the full SDLC, including coding standards, build processes, and testing. * Communication & Collaboration: Ability to champion and lead initiatives across the engineering organization, such as tech talks and technical reading groups. Bonus Points * Public Cloud & AI/ML: Expertise in one or more Public Cloud offerings (AWS, GCP, Azure, OCI) and familiarity with AI/ML frameworks (PyTorch, Tensorflow, JAX) and MLOps. * High-Throughput I/O: Experience with cutting-edge I/O architectures like DAOS or SPDK. * Networking Foundations: Background in RDMA and high-performance networking, including SmartNICs and RoCEv2. * Distributed Systems Mastery: Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka. * Theoretical Depth: Strong knowledge of distributed systems fundamentals including CAP Theorem, Paxos/RAFT, consistent hashing, and sharding strategies. * Education: Advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of up to $240,000 - $310,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description About Code Metal Code Metal is redefining code translation for mission-critical industries, helping partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We support automotive, aerospace, defense, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor. The Roles We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems. In this role you will lead the architecture and implementation of novel code generation pipelines that combine Generative AI, Static Analysis, and Formal Verification to translate code written in one language to another. We are open to two distinct backgrounds for this role: Path A — Compiler / Tooling You have built a compiler, interpreter, or substantial build tooling (e.g. a Cargo-like build system, a Clang plugin, an LLVM pass, a transpiler). You understand ASTs, IR design, and the full compilation pipeline. Path B — AI Agentic Product You have shipped a production AI agentic system — orchestrating LLMs with tool use, state machines, retrieval, or multi-step reasoning pipelines. You know where these systems break and how to make them reliable. If you fit either profile and are excited by the intersection of AI and systems programming, we want to talk. Responsibilities • Define software architecture for Agentic AI pipelines — including state machines, orchestration layers, and LLM-integrated workflows., • Build well-tested, extensible code foundations for code translation products, with a focus on correctness and maintainability., • Collaborate with domain specialists to incorporate formal verification and static analysis methods into the code generation pipeline., • Partner with software engineering and research teams to build robust code repositories and CI/CD processes. Must have • 7+ years of collaborative enterprise-level software development in C++ or Python, delivering products to a large customer base., • Demonstrated experience gathering requirements from stakeholders and translating them into software designs., • Track record of planning and executing large projects in a team-based setting. Compiler / tooling background: • Hands-on experience building a compiler, transpiler, or substantial build tooling (e.g. a Cargo-equivalent, a custom linker, a language runtime)., • Deep familiarity with compiler infrastructure — Clang, LLVM, MLIR, or equivalent., • Shipped production AI agentic systems — LLM orchestration, tool-use pipelines, multi-step reasoning, or autonomous code generation., • Experience building reliable, observable AI workflows with structured outputs, retry logic, and evaluation frameworks., • Experience with advanced software verification techniques such as fuzzing, symbolic execution, or formal verification (e.g. TLA+, Coq, Z3)., • Hands-on experience with embedded, heterogeneous (FPGA and/or GPU), or distributed systems., • Familiarity with DSP, RF, communications, or other compute-intensive domains., • Experience optimizing and deploying software on constrained or specialized hardware., • Competitive compensation at the upper end of market range — specific band shared during screening., • 100% employer-paid health care premiums: medical, dental, and vision., • 401(k) with 5% company match., • Uncapped paid time off, plus sick leave and public holidays., • Flexible hybrid or remote work arrangement.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will…- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc.- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.- Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA). Qualifications:- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments. Bonus/nice to have:- Experience in working with robotics and other autonomous systems.- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.- The US yearly salary range for this role is: $155,000 - $269,000 USD In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done.We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option.We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup.About SAIGroup :SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Learn more about JazzX AI: Website: LinkedIn: Learn more about SAIGroup: Website: About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform. You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high-throughput training and real-world scenarios and enterprise use cases end to end. Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions. Key Responsibilities • Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving., • Research & Development: Apply cutting-edge RL techniques (policy optimization, model-based RL, hierarchical RL, multi-agent RL, etc) to solve complex enterprise problems., • Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency., • Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity., • Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems., • Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models., • 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems., • Demonstrated success in designing and deploying large-scale RL architectures in enterprise environments., • Deep expertise in reinforcement learning algorithms, including on-policy (PPO, A3C) and off-policy (SAC, DDPG) methods, along with hands-on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo)., • Practical experience with multi-agent reinforcement learning (MARL), including coordination strategies for complex environments., • Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO-like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically., • Experience with test-time compute optimization techniques, including inference-time search, chain-of-thought reasoning, and adaptive computation strategies for improving model performance during deployment., • Proven ability in large language model (LLM) training and fine-tuning, across both supervised and reinforcement learning–driven techniques., • Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib., • Hands-on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms)., • PhD in Computer Science, Machine Learning, Robotics, or related field., • Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems., • Contributions to open-source RL frameworks or publications in top-tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI)., • Background in safety, alignment, or explainability of RL agents. We offer a competitive salary ranging from USD 207,000 to USD 290,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Why Join JazzX AI: What draws people to JazzX AI is the opportunity to build something truly foundational. We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you'll help build a platform that redefines how work happens in the AGI era. JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it's about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack. What You'll Do: • Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs., • Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters., • Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment., • Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning., • Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges., • Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering culture through internal documentation, tech talks, and collaborative design. What We're Looking For (Must-Haves): • BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience), • 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems, • Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text), • Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy, • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization), • Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale, • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency, • Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or a related field., • Background in autonomous driving, robotics, or complex real-time decision-making systems., • Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning., • Familiarity with multimodal learning, sensor fusion, or large foundation models., • Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms., • Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$205,000—$272,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Conduct fundamental and applied research in generative and predictive world-modeling, • Video generation and prediction., • Latent diffusion / autoregressive / flow-matching models., • Multimodal foundation models for driving scenes., • LLM / VLM / VLA methods for scene understanding, reasoning, and control., • Generative scenario modeling and controllable simulation., • Model distillation., • Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact.

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Ambient Agents team is at the forefront of revolutionizing healthcare technology by building Agents that automate core components of healthcare workflows. We're looking for talented engineers to scale our agent stack to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll do * Work closely with engineering teams to tackle a wide variety of technical challenges in building efficient and scalable software, delivering quality features and a great customer experience * Lead the design, development, deployment, and iterations of complex features, collaborating with engineers, Product Managers, UX designers, and leadership * Enhance and evolve Commure’s product architecture * Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions * Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers * Keep current with emerging industry trends and technology to inform leadership and the Product Team What You Have * B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience * 4+ years of experience in shipping enterprise-grade software products * Experience leading complex projects from start to finish and across multiple release cycles, including conceptualization, product integration, deployment, monitoring, and upgrade * Ability to write readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express) * Experience with LLM applications and RAG tooling (Gemini, GPT, VectorDB etc.) * Ability to collaborate with Product Management to clarify requirements, scope work, and drive product deliverables * Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) * Experience with security tooling in SDLC and Security by Design principles Qualifications (Bonus): * Experience with speech and dialog technologies (ASR, TTS, telephony) * Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc) * Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.) * Experience with Nodejs build systems (rush, nx, vite, etc.) * Experience in health tech * Experience working at a startup Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more. Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them. As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable. We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team., • Great people, meaningful work, and a team that genuinely believes in what we're building. Come build the world’s best robots—and help make life-saving therapies accessible to all.Multiply Labs is an early-stage startup where equity is a major part of the compensation package. Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel.

Job Description Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for Deep Neural Networks., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWe are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications. As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.Examples of the work you will be doing • Building product features, data pipelines, and tooling for visualizing and understanding machine learning models, • Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems, • Applying best practices in data science to help the team draw actionable conclusions from our data and performance results, • Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes, • Collecting, organizing, and presenting performance results to stakeholdersTechnologies you will work with, • Python, • Rust, • Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage), • Airflow, • Kubernetes, • Terraform, • gRPC, • Tensorflow, • CI/CDQualifications, • B.S. or higher degree in computer science or related engineering field, • Excellent Python programming skills, • Experience with Tensorflow or a similar deep learning framework, • Knowledge of key concepts in machine learning (particularly deep learning) and data science, • Familiarity with big data and databases (BigQuery), • Strong ethic of self-reliance and the initiative to take ownership of projects, • Strong communication skills, • Ability to determine reasonable timelines and deliver results accordingly, • Legal authorization to work in the U.S. is requiredNice to haves, • Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques, • Experience with 3D scene understanding and object detection/segmentation from vision, • Experience with robotic manipulation hardware: arms, 3D cameras, force sensors, • Experience working independently on large, shared code bases and infrastructure

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. ABOUT THE ROLE As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline—from algorithm development to production deployment—turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING * Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning * Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks * Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness * Build and maintain data pipelines for model training, evaluation, and continuous improvement * Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring * Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation * Work with service engineering and field teams to deploy inspection solutions and support customer rollouts * Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING * MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. * 5+ years of relevant experience in computer vision and/or machine learning * Strong programming skills in Python * Deep experience with PyTorch for model development and training * Experience optimizing ML models for GPU inference in production environments * Track record of shipping ML/CV models from prototype to production * Experience with image acquisition, camera systems, and sensor integration IT WOULD BE GREAT IF YOU HAD • Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters) Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress) * C/C++ experience for performance-critical components * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) * Experience with data annotation, labeling workflows, and active learning strategies * Experience with ROS2 * Understanding of manufacturing processes and quality control methodologies * Publications or patents in computer vision, deep learning, or related fields BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionArbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth. We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting. We recently launched Merlin AI, the first VBC AI assistant that allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. Built by the industry’s leading VBC actuaries and engineers, Merlin AI makes complex contract performance data conversational, transparent, and instantly actionable. We are looking for a hands-on AI Engineer who can help build Merlin's next-generation conversational AI experiences. This role requires a technologist who excels at the intersection of advanced AI models, large-scale systems, and a customer-focused approach. Is this role right for you? If you want to make an impact on the US healthcare system, the idea of Merlin excites you, and the following matches your skills, experience, and interests: • Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for conversational AI., • Development and deployment of a data-intensive product on a SaaS platform, • Programming in Python and SQL As an AI engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by: • Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & financial data, delivering real-time analytics and visualizations, • Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment, • Dramatically reducing analytics time for strategic decision-makingResponsibilities:, • Develop Arbital’s next-generation conversational AI, • Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy, • Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues, • Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control proceduresRequirements:, • 3+ years of experience in data-intensive, SaaS platform development projects, • More than one year in machine learning or AI-related roles, • Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks, • Familiarity with AI orchestration frameworks like LangChain, CrewAI, ADK, etc., • Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations., • Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex)., • Experience with Cloud ML Services like AWS Bedrock, SageMaker, and Google Vertex AI, • Experience with Airflow, Databricks, and AWS or GCP, • Ability to ship extremely high-caliber code and build exceptional products, • Passionate about improving and innovating, • Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.Tools we use include:, • Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog, • AI: Vertex AI, GCP Model Garden, Vanna AI, MLflow, Databricks Vector Search, • Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS, • IDE: Cursor, Claude Code, and R Studio, • Version Control: GitHub

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles. You Will.. • Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models., • Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale., • Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios., • Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code., • Help drive project roadmap planning, prioritization, and delivery. Qualifications: • BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience., • Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX., • Hands-on experience building distributed ETL and data processing pipelines., • Direct experience managing ML pipelines, including dataset management, dataloading, and optimization., • Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices., • A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others. Bonus Points: • Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines., • Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions)., • Experience solving data challenges specific to autonomous driving., • Familiarity with linear algebra (projections, transforms) and 3D geometry., • Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera). The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system. - Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes—such as road closures, construction, or shifting traffic patterns—ensuring accurate and safe navigation for our autonomous vehicles.- Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles. - Champion engineering excellence, ensuring high-quality, well structured and tested code.- Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi’s blog, helping establish Waabi as a leader in online mapping research. Qualifications:- MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects in ML/Autonomous driving. - Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Experience in shipping machine learning features/models into production.- Previous experience in perception and/or online mapping systems. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Company: Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness. About the Role: We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data. Responsibilities Include: • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability., • Implement frameworks, tooling, and automation to safely increase development velocity., • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards)., • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility)., • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.Preferred Qualifications:, • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field., • 5+ years of experience in data engineering, platform engineering, or ML engineering., • Experience working with major cloud data platforms and tools:, • Preferred experience:, • Healthcare, behavioral health, EHR systems, and/or regulated industries., • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery., • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling., • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD., • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn)., • Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs., • We're human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves., • People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen., • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better., • Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger., • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow., • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them., • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.Physical Requirements:, • Prolonged periods sitting at a desk and working on a computer., • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet., • Must be able to observe and communicate information on company provided laptop., • Move up to 10 pounds on occasion. Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave's legal duty to furnish information. Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future. The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100. The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400. The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000. All Geos are eligible for equity in the form of stock options. Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. How We Use Technology in Hiring: As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Application Instructions: Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval., • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments., • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios., • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services., • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation., • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions. What We're Looking For (Must-Haves): • BS or MS in Computer Science, Machine Learning, or a related field., • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics., • Strong proficiency in Python with the ability to write clean, modular, and well-documented code., • Working knowledge of version control, unit testing, and basic software design patterns., • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy., • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics., • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment. Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV) We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$144,000—$192,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * Full-time, in-person role at our San Francisco or Seattle office. * As an early engineer, you'll receive generous equity compensation * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K

Job Description Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine™— an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio. As an AI Engineer / Senior AI Engineer, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences. Primary Responsibilities As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to: • Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies, • Integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Gemini, Hugging Face) into internal and client-facing applications to deliver intelligent, scalable solutions, • Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations, • Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI, • Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations, • Utilize cloud-service providers (e.g., AWS, Azure, or GCP) including services such as S3, EC2, Lambda, Azure OpenAI, and SageMaker to build and deploy scalable AI solutions, • Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews, • Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows, • Investigate and evaluate emerging AI frameworks, tools, and models to continuously improve the team’s AI capabilities and stay ahead of industry developments, • Contribute to Blue Matter’s Internal platform rollout and other AI-powered product initiatives in client environments, • Address client questions, gather requirements, and deliver AI-powered solutions aligned with business goals, • Ensure project success through effective collaboration and meeting deadlines using agile delivery model, • Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks, • Strong proficiency in Python and experience with AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow), • Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) into production-grade applications, • Experience building and deploying internal tools and applications (e.g., using Streamlit, Gradio, Flask, FastAPI, or React), • Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready, • Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions, • Experienced with cloud platforms (AWS, Azure, GCP) and services, • Proficient in API development (RESTful/GraphQL) and version control (e.g., Git), • Expertise in SQL, Python, and databases, • Familiar with data pipeline tools (e.g., Airflow, dbt) and data warehouse technologies (e.g., Snowflake, Redshift, Databricks), • Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks, • Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques, • Knowledge of US pharma datasets and healthcare concepts is a plus, • Strong problem-solving, communication, and client-facing skills, • Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet), • Genuine passion and curiosity for ongoing AI development, with a demonstrated habit of learning and experimenting with new AI tools, models, and techniques, • Advanced degree(s) (PhD, MD, MBA, or MS) in Computer Science, AI/ML, Data Science, or a related field, • 4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience, • Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions, • Active contributions to open-source AI projects, personal AI projects, or published research in AI/ML Base salary range: $100,000 - $150,000 per year. Generous incentive compensation structure. Benefits Package: • 401k - generous employer match with immediate vesting and financial planning resources, • Comprehensive medical, dental and vision coverage options effective day 1 of employment, • Flexible spending account (FSA) or Health Savings Account (HSA), • Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options, • Paid parental leave for all new parents, • Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually), • Employee Assistance Program YFln9UxC3u

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. What the job involves You will be part of Kiddom’s AI team, building the foundation of our search, recommendation, and insights systems. Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance.What the job involves • Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine., • Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes., • Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs., • Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization., • Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks., • Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems., • Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth.Who you are, • Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role., • Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization., • Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)., • Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments., • Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders.Desirable, • Deep expertise in modern deep learning frameworks and advanced LLM architectures., • Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use., • Experience implementing and fine-tuning large language models (LLMs), including prompt engineering, embeddings, and efficient inference optimization., • Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF., • Self-motivated innovator who thrives in fast-moving environments and is excited to explore emerging AI techniques to solve meaningful problems in education.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our customers use Chariot, our flagship product, to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise, if you push the boundaries of your own capabilities, and if you are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: • Everything as Code, • Cloud-neutral development, • User-centric design, • Hexagonal, event-driven, microservices architecture, • Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what else we’re looking for: • 6–8 years of hands-on development experience, • Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust, • Strong background in relational database design, architecture, operation, and performance, • Proficiency in Python, • Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes, • Proven experience with cloud architecture: commercial cloud, OpenStack, • Experience in the design and development of performant, scalable services, • Ability to work cross-functionally and participate in or lead design discussions, • Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment, • Experience in knowledge sharing, mentoring, and coaching (e.g., onboarding, code reviews, leading junior engineers), • Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies, • Driven, self-directed personality, • Strong sense of mission and commitment to making a difference, • Bachelor’s degree in CS or related field, or similar experience, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of: • Professional experience designing Postgres databases and optimizing query performance on them, • Familiarity with non-relational database design and architecture, • Understanding of synchronous/asynchronous programming and concurrency, • Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow), • Experience designing RESTful, gRPC, or GraphQL APIs, • Understanding of networked and distributed computing, • Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ), • Experience with workflow automation The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at . Striveworks is a participating employer in the E-Verify program.

About Contextual AI We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows. Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG), the foundational technique behind the context layer, connecting foundation models to current and relevant information. Backed by the industry's most forward-thinking venture capitalists, we're not just participating in the enterprise AI revolution, we're defining it. Join us in building a future where AI doesn't just answer questions, it transforms businesses. Job Overview Contextual AI is hiring a Forward Deployed Engineer to be part of the GTM team. This team is responsible for selling into Global 2000 organizations deploying generative AI solutions in production. As a Forward Deployed Engineer, you’ll be a trusted technical advisor and subject matter expert for our prospects and customers, understanding requirements, designing demos, and driving business value. You’ll accomplish this by working closely with customers to identify use cases, scope out needs, design pipelines, and help drive the adoption of Contextual AI’s technology. You will be a subject matter expert on AI industry trends and best practices. You will work directly with customers to align Contextual AI’s products to their top use cases. You must be ready for technical discussions with engineers, and demonstrate the value of Contextual AI in business discussions with directors and executives. You will help distill feedback from customers and help improve Contextual AI’s products while working with the product and engineering team. What you’ll do: • You will own the technical aspects of the sales cycle, driving the technology evaluation processes to highlight Contextual AI’s differentiation, clarify the business value to the customer, and ensure our customers’ success with our products, • You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders., • Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible., • Create and deliver specialized technical demos according to the customers., • Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team., • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions. What we’re seeking: • Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred)., • Experience working in enterprise SaaS, AI/ML, infrastructure, or similar industries in a technical capacity with end-customer engagement, • Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers)., • Proficiency with coding languages Python, Typescript or similar languages at a production level., • Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues, • Strong communication and presentation skills. Ability to demonstrate professional polish and a high level of technical credibility when speaking with both executives and engineers, • Self-starter and ability to operate independently and at high-velocity, • Clear customer empathy and intellectual curiosity Location: Mountain View, CA or remote within the USA Salary Range for California Based Applicants: $160,000 - $250,000 (actual compensation will be determined based on experience, location, and other factors permitted by law). Equal Opportunity Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. * Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. * This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: * Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. * Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor * Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology * Training customers (alongside the engineering teams) by organising workshops and training sessions * Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. * Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins * Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: * At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry * Experience with AI Embedded Applications * Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: * Bachelor's degree in engineering, computer science, or a related field * Great coding skills in Python, C/C++ * Knowledge of ML/AI Framework(s): TensorFlow, PyTorch * Knowledge of Embedded Development Kit(s), and an AI background * Computer architectural knowledge is a big advantage * Strong analytical and problem-solving skills * Flexibility and outstanding communication & customer service skills WE OFFER YOU: * A dynamic working environment around a fearless engineering culture, * Ambitious teams with the freedom to innovate, * A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), * An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ___ We are constantly expanding our compute footprint in the cloud, and need to expand our observability and monitoring capabilities alongside. We currently use the built in AWS monitoring tools, but this doesn’t work with our on-premise stuff and aren’t user friendly. There are a number of options out there we could deploy, but all of them require some attention and work. Even if we go a vendored route, we still need at least one person to own this area. You Will..- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.- Work with client teams to support their applications’ observability requirements.- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications:- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.- Proven track record of clear communication, writing design docs, and leading cross-functional efforts. Bonus: - Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About BLEN BLENers are passionate about using technology to solve real-world problems. For over 20 years, we've been helping government agencies and businesses transform their digital experience. We bring fresh perspectives to every project, from modernizing legacy systems to building cloud-native applications to experimenting with technology that's just around the corner. We value building long and enduring partnerships to solve complex challenges by putting humans at the center of all the experiences. Our team thrives on turning tricky problems into solutions that are practical, accessible and performant. About this position As a Lead Software Developer at BLEN, you will play a crucial role in leading and mentoring our development team, including Senior Software Developers. You will be responsible for overseeing the technical direction of projects, making high-level architectural decisions, and ensuring the delivery of high-quality, scalable solutions. This position requires exceptional technical expertise across the full stack, strong leadership skills, and the ability to drive innovation in areas such as cloud services, AI, and emerging technologies. \n What we would like from you • Technical Leadership and Strategy, • Lead the overall technical strategy and architecture for complex, large-scale projects, • Make critical decisions on technology stack, frameworks, and methodologies, • Oversee and approve system designs and architectural choices made by team members, • Drive the adoption of new technologies and best practices across the development team, • Team Management and Mentorship, • Directly supervise and mentor a team of developers, including Senior Software Developers, • Conduct performance evaluations and provide career development guidance, • Lead technical interviews and make hiring decisions for the development team, • Foster a culture of continuous learning, innovation, and technical excellence, • Project Oversight and Delivery, • Oversee multiple projects simultaneously, ensuring they meet quality standards and timelines, • Collaborate with project managers and stakeholders to define project scopes and timelines, • Identify and mitigate technical risks across projects, • Ensure smooth integration between different components and teams, • Innovation and R&D, • Spearhead research into emerging technologies and their potential applications, • Lead the development of proof-of-concepts and prototypes for innovative solutions, • Drive the integration of AI and machine learning capabilities into our products and services, • Evaluate and implement cutting-edge AI services and APIs from providers such as OpenAI, Anthropic, Cohere, and Google VertexAI, • Guide the use of high-level AI frameworks such as Hugging Face Transformers, FastAI, or Keras for rapid prototyping and development, • Client and Stakeholder Management, • Act as the primary technical point of contact for high-profile clients and partners, • Present complex technical concepts and strategies to non-technical stakeholders, • Collaborate with business leaders to align technical strategies with business goals Basic qualifications • Essential Requirements, • 12+ years of software engineering experience, with at least 5 years in a leadership role, • Extensive full-stack development expertise, with mastery in multiple languages such as Python, Fast API, Flask, TypesScript (React, ___), Java, or Rust, • Proven experience in designing and implementing large-scale, distributed systems, • Deep understanding of cloud platforms (AWS, Azure, or GCP) and their advanced services, • Strong background in AI and machine learning, including experience with large language models (LLMs) and modern AI frameworks, • Hands-on experience with AI/ML technologies such as PyTorch, TensorFlow, JAX, or Hugging Face Transformers, • Proficiency in developing working with pre-trained models and fine-tuning for specific tasks, • Experience integrating AI services and APIs from major providers (e.g., OpenAI, Anthropic, Google VertexAI) into production systems, • Expertise in system architecture, design patterns, and software development best practices, • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Pulumi), • Strong understanding of data modeling, both for relational and NoSQL databases, • Track record of successfully leading and mentoring development teams, • Preferred Skills and Experience, • Experience in government or highly regulated industry projects, • Contributions to open-source projects or thought leadership in the tech community, • Experience in implementing microservices architectures and event-driven systems, • Knowledge of advanced AI paradigms such as RAG, few-shot learning, self-supervised learning, etc Requirement • Must be a US Citizen or legal resident and able to work domestically, • Must be located in the United States, • Must be able to attain low-level security clearance Perks • Work from anywhere., • Competitive pay., • A contribution to your health benefit., • The chance to work on high-visibility projects and make a significant impact. Get to know us • We are a small, creative and highly technical team., • Our heroes are the scrappy folks that dare to dream and do great things. We love people that care more about doing the right thing than taking a shortcut., • We believe in finishing projects and floor our clients by how much we cared about their project., • We believe in integrity and because we're small, we are very selective of our partners and clients., • We do not use phrases like 'human resource' because you are NOT a resource. You are a team member and we will treat you like one. What you should expect from us • We will treat you fairly., • We give you space to grow both personally and professionally., • We will hear your ideas even when we disagree -- especially when we disagree., • We will be equitable with our success and be honest with our challenges., • We will always tell you the truth. Even when the truth is difficult. \n$155,000 - $180,000 a yearThe salary range represents the compensation we expect to offer candidates who can perform the core responsibilities with minimal additional training. Actual compensation may vary based on factors such as skill set, level of experience, and scope of responsibility. Our recruitment team is available to discuss your specific salary requirements and to provide more information about how we determine compensation. We are committed to fair and transparent pay practices and encourage open dialogue about our compensation structure throughout the application process. We look forward to learning more about your qualifications and how they align with our framework. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR ___(c).\n

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.