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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: www.waabi.ai The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will...- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.- Architect and build the engineering foundations of our long-term mapping infrastructure.- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications:- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).- Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have:- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. - Prior experience with autonomous vehicles, HD mapping, or robotics.- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).- Open-minded and collaborative team player with strong willingness to help others.The US yearly salary range for this role is: $141,000 - $242,000 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: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling 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. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- 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:- MS/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.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- 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.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- 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 ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Data Engineer, Knowledge Graphs to build the infrastructure that powers Mithrl’s biological knowledge layer. You will partner closely with the Data Scientist, Knowledge Graphs to take curated knowledge sources and transform them into scalable, reliable, production ready systems that serve the entire platform. Your work includes building ETL pipelines for large biological datasets, designing schemas and storage models for graph structured data, and creating the API surfaces that allow ML engineers, application teams, and the AI Co-Scientist to query and use the knowledge graph efficiently. You will also own the reliability, performance, and versioning of knowledge graph infrastructure across releases. This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and scalable infrastructure, this is an opportunity to have deep impact on the intelligence layer of Mithrl. WHAT YOU WILL DO Build and maintain ETL pipelines for large public biological datasets and curated knowledge sources Design, implement, and evolve schemas and storage models for graph structured biological data Create efficient APIs and query surfaces that allow internal teams and AI systems to retrieve nodes, relationships, pathways, annotations, and graph analytics Partner closely with the Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontology mappings Build data models that support multi tenant access, versioning, and reproducibility across releases Implement scalable storage and indexing strategies for high volume graph data Maintain data quality, validate data integrity, and build monitoring around ingestion and usage Work with ML engineers and application teams to ensure the knowledge graph infrastructure supports downstream reasoning, analysis, and discovery applications Support data warehousing, documentation, and API reliability Ensure performance, reliability, and uptime for knowledge graph services WHAT YOU BRING Required Qualifications Strong experience as a data engineer or backend engineer working with data intensive systems Experience building ETL or ELT pipelines for large structured or semi structured datasets Strong understanding of database design, schema modeling, and data architecture Experience with graph data models or willingness to learn graph storage concepts Proficiency in Python or similar languages for data engineering Experience designing and maintaining APIs for data access Understanding of versioning, provenance, validation, and reproducibility in data systems Experience with cloud infrastructure and modern data stack tools Strong communication skills and ability to work closely with scientific and engineering teams Nice to Have Experience with graph databases or graph query languages Experience with biological or chemical data sources Familiarity with ontologies, controlled vocabularies, and metadata standards Experience with data warehousing and analytical storage formats Previous work in a tech bio company or scientific platform environment WHAT YOU WILL LOVE AT MITHRL You will build the core infrastructure that makes the biological knowledge graph fast, reliable, and usable Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Head of Product Marketing to define the narrative, positioning, and go to market strategy for Mithrl. This is a high visibility, high impact leadership role that requires deep scientific understanding and proven product marketing experience. A PhD is required because you will be translating complex discovery science and AI driven workflows into simple, compelling stories that resonate with research leaders, computational biologists, and executive buyers. You will shape how the world understands Mithrl, why it matters, and why it is fundamentally changing the way biology is programmed. You will own messaging, launches, scientific content, cross functional alignment, and the campaigns that drive awareness and adoption. You will partner closely with product, engineering, sales, and applications teams to turn scientific capabilities into clear commercial value. If you are a scientist turned storyteller, a strategic thinker, and a data-driven marketer who loves building from first principles, this is a rare opportunity to help define and lead a category. WHAT YOU WILL DO Own the product narrative, positioning, and messaging for the Mithrl AI Co-Scientist Translate complex scientific workflows into clear value propositions for R&D and computational buyers Lead product launches, end to end, with defined success metrics and measurable outcomes Build persona definitions, ICPs, and buyer journey maps for biotech and pharma customers Create compelling scientific and commercial content including whitepapers, case studies, webinars, and narratives that highlight discovery impact Partner with sales to develop decks, one pagers, battlecards, and objection handling materials Work with product and engineering to align roadmap and capabilities with GTM needs Collaborate with marketing on targeted campaigns with measurable KPIs that drive pipeline creation and product adoption Build competitive intelligence and market landscapes that guide both product and GTM strategy Interface directly with prospects and users, synthesizing customer insights and converting them into messaging, content themes, and campaign directions Represent Mithrl at conferences, industry events, and external thought leadership opportunities Establish product marketing as a core strategic function as part of Marketing for the company and scale it as we grow WHAT YOU BRING Required Qualifications PhD in biology, bioinformatics, computational biology, molecular biology, pharmacology, or a closely related field 5 or more years of experience in product marketing at a tech bio, life sciences software, scientific platform, or AI company Demonstrated success launching products or major features with measurable impact on pipeline, adoption, or revenue Proven ability to craft narratives that resonate with scientific and technical audiences Strong writing and communication skills with the ability to simplify complexity without losing accuracy Experience partnering closely with sales, customer success, product, and engineering Comfort working in a fast moving, high ownership startup environment A portfolio of content, launch materials, or campaigns that shows creativity and commercial impact Nice to Have Experience marketing AI enabled scientific tools or computational biology platforms Experience selling into enterprise biotech or pharma environments Familiarity with discovery workflows, omics analysis, or preclinical development Experience with demand generation or growth marketing Prior leadership or mentorship experience within marketing teams WHAT YOU WILL LOVE AT MITHRL You will build the story that drives scientific adoption and commercial growth You will have significant ownership over GTM strategy and product communication Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionBusiness Development Representative - AI Co-Scientist PlatformPerfect for New Graduates with Biology or Related Science Backgrounds About Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes Why This Role is Perfect for New Science Graduates This is your chance to bridge the gap between cutting-edge science and real-world impact. You'll use your scientific background to communicate with leading researchers while building essential business skills that will accelerate your career. Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. As a new graduate, you'll get unparalleled exposure to how biotech companies operate, from early-stage startups to Big Pharma R&D teams. You'll initiate conversations with the same caliber of scientists you've studied under, uncovering critical pain points in drug discovery and opening doors to breakthroughs that could lead to life-saving therapies. What You'll Do Core Responsibilities: Research and identify high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—using your scientific background to speak their language Qualify inbound leads and schedule meetings for our sales and science teams Collaborate with founders and commercial leadership on messaging optimization and market expansion What We're Looking For Educational Background: Bachelor's degree in Biology, Biochemistry, Molecular Biology, Genetics, Bioinformatics, or related life sciences field Master's degree preferred (MS, PhD candidates welcome) Core Skills & Attributes: Exceptional written and verbal communication skills with ability to translate complex scientific concepts for diverse audiences Strong research abilities and scientific curiosity Comfortable with ambiguity and rapid iteration in a startup environment Active listening skills and ability to identify genuine scientific pain points Mindset: Intellectual curiosity about the intersection of science, technology, and business Persistence and resilience—essential for both scientific research and business development Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline Desire to make a meaningful impact on drug discovery and patient outcomes What You'll Gain Professional Growth: Transform your scientific knowledge into business acumen Front-row seat to AI transformation in drug discovery Competitive base salary designed for new graduates Performance-based commission structure with significant upside potential Work alongside elite scientists, engineers, and commercial professionals High-autonomy, results-driven culture that values scientific rigor Beautiful SF office with in-person collaboration and mentorship

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world’s most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets. You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic. Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist. WHAT YOU WILL DO Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc. Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources Build automated pipelines to curate and expand relationships inside the knowledge graph Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer Build and maintain versioning, change tracking, and provenance systems for all data and relationships Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl Build features that allow users to explore, query, and interact with their graphs Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis Validate the correctness, completeness, and integrity of the knowledge graph across releases WHAT YOU BRING Required Qualifications Strong experience in data science, bioinformatics, computational biology, or a related field Experience working with biological knowledgebases, public datasets, or ontology driven systems Familiarity with graph data structures, relationship modeling, and knowledge graph concepts Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources Proficiency in Python and scientific computing libraries Ability to build ingestion pipelines for structured or semi structured biological data Strong understanding of metadata standards, biological ontologies, and domain logic Ability to translate complex biological information into structured, machine readable representations Excellent communication skills and comfort collaborating across engineering and scientific teams Nice to Have Experience with graph databases or graph query languages Experience with KG curation, link prediction, relationship extraction, or graph based ML Familiarity with multi modal data integration Previous work on biological or chemical knowledge graphs Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. Prior experience in a tech bio startup or scientific software environment WHAT YOU WILL LOVE AT MITHRL You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionThe Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow. You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day. What You'll Do Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph. User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them. Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product. Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems. Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes. Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact. Qualifications Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline. True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline. Proficiency in Python and SQL. Experience working with large-scale user or behavioral datasets. Preferred Qualifications Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. Prior experience as a quantitative trader or quantitative researcher. Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker. Why Triumph? High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction. High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth. High energy. Passionate team who are proud of our work and velocity (16x year over year growth). Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco. Compensation Range: $200K - $400K

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: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing. You will...- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows. Qualifications:- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.- Experience working with internal cross-functional partners/stakeholders- 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 the Autonomous Vehicle or Robotics industry- Familiarity with Systems Verification and Validation- Experience with large scale databases and analytics - Experience with workflow automation/orchestration frameworksThe US yearly salary range for this role is: $146,000 - $280,000 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 ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Senior Full Stack Engineer to help build, scale, and evolve the core Mithrl product. This is a highly product-oriented engineering role with deep ownership across frontend, backend, and system design. You will work closely with product, design, ML, and scientific teams to turn complex scientific workflows into intuitive, high-performance software used daily by world-class researchers. As a senior engineer, you will be responsible not just for execution, but for technical direction, architectural decisions, and setting engineering standards. You will own features end-to-end, from initial concept through production, iteration, and scale. This role requires strong full-stack engineering fundamentals, a bias toward shipping, and the ability to operate comfortably in ambiguous, fast-moving environments. If you enjoy building real products used by sophisticated users, thinking deeply about system design and user experience, and taking ownership of critical parts of a fast-growing platform, this role is an ideal match. WHAT YOU WILL DO Design, build, and maintain core Mithrl product features across frontend and backend Own end-to-end feature development, from product requirements to production deployment and iteration Build intuitive user interfaces that abstract complex scientific and data workflows Develop scalable backend services, APIs, and data pipelines that power the Mithrl platform Collaborate closely with product, design, ML, and scientific teams to translate user needs into technical solutions Make architectural decisions that balance speed, scalability, reliability, and developer velocity Improve system performance, reliability, and observability as usage and data volumes grow Write clean, maintainable, and well-tested code that sets a high bar for quality Mentor junior engineers and contribute to raising the overall engineering bar Participate in technical planning, code reviews, and ongoing platform evolution WHAT YOU BRING Required Qualifications 7+ years of professional software engineering experience Strong full-stack engineering experience with Python and React in production environments Proficiency in Django for building backend APIs, services, and data-intensive systems Strong experience building modern frontend applications using React Experience designing and working with GraphQL APIs, including schema design, performance considerations, and client-server data modeling Experience designing and working with scalable systems, databases, and data-intensive applications Strong understanding of system design, software architecture, and engineering best practices Experience shipping and owning production systems used by real customers Ability to work effectively in fast-paced, ambiguous environments Strong problem solving skills and a product-oriented mindset Excellent communication skills and ability to collaborate cross-functionally Nice to Have Experience building products for technical or scientific users Familiarity with data-heavy, analytics, or ML-enabled platforms Experience with cloud infrastructure such as AWS, GCP, or Azure Experience mentoring or leading other engineers Exposure to biotech, life sciences, or R&D workflows WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will own meaningful parts of a category-defining product used by leading pharma and biotech organizations. Your work will directly shape how scientists interact with AI and data on a daily basis Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $175K - $220K

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Platform Solutions Engineer who will serve as the technical bridge between Mithrl’s platform and our customers. This role requires a rare combination of skills. You must be able to architect solutions for complex customer environments and also own DevOps responsibilities that ensure secure, scalable and reliable deployments. You will design and implement integrations, advise customers on best practices for using Mithrl within their R&D workflows, and collaborate with internal teams to ensure smooth onboarding and deployment. At the same time, you will build and maintain the cloud infrastructure, CI systems, monitoring, and automation that keep Mithrl running at scale. If you enjoy combining customer facing problem solving with deep engineering and DevOps work, this role provides a unique opportunity to shape the technical foundation of Mithrl as we grow. WHAT YOU WILL DO Architect technical solutions for customers who integrate Mithrl into their cloud and on-prem environments Work closely with AEs, customer success, and scientific users to understand customer workflows and design scalable deployment approaches Build and maintain infrastructure for secure and reliable deployments in AWS, including compute environments, networking, container orchestration, and storage Manage and improve CI pipelines, automated testing environments, and release processes Build monitoring, logging, and alerting systems that give engineering and customer success clear visibility into system health Implement automation for provisioning, configuration management, and environment setup Support API integration, authentication workflows, and secure data movement between customer systems and Mithrl Troubleshoot deployment issues and serve as the technical point of contact for complex customer setups Work with engineering teams to ensure that platform features align with customer infrastructure needs Contribute to documentation, architectural guidelines, and internal playbooks for deployment and integration WHAT YOU BRING Required Qualifications Strong experience in both solution architecture and DevOps or platform engineering Deep knowledge of AWS services such as EC2, ECS, EKS, S3, IAM, Batch, Lambda, and VPC networking Experience designing and deploying scalable, secure cloud architectures for enterprise customers Proficiency with infrastructure as code tools such as Terraform or CloudFormation Experience with CI systems, automated testing, and release pipelines Strong understanding of container technologies and orchestration systems such as Docker and Kubernetes Ability to build monitoring, logging, and alerting systems using modern tooling Experience solving complex customer integration problems with empathy and clarity Strong communication skills and comfort working directly with customers and internal stakeholders Experience supporting technical products used by scientists or enterprise teams Nice to Have Experience in tech bio, computational platforms, or scientific data environments Familiarity with security best practices for regulated data or enterprise environments Experience integrating API based workflows or custom data flows Knowledge of distributed systems design or high performance compute environments Experience writing internal tools or automation scripts for engineering teams WHAT YOU WILL LOVE AT MITHRL High ownership & impact: You will combine solution architecture, DevOps, and customer partnership in one high impact role. You will work on complex deployment challenges across leading biotechs and pharma companies Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Job DescriptionAbout Mithrl We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. Why This Role Matters We’ve built something scientists love. Now we need the world to know. As an Account Executive, you’ll own the customer journey from demo through deal close. You will engage directly with biotech and pharma prospects, showcase how our product solves scientific and operational challenges, and guide them through evaluation, negotiation, and signing. Your focus is on advancing qualified opportunities to successful partnerships, not on lead generation or cold outreach. You’ll work closely with the founders, product, and GTM teams to scale revenue, boost visibility, and support everything from demo to deal flow. This is a high-ownership role with room to shape the brand, grow a team, and accelerate into a Head of Sales track as the company scales. What You'll Do Take ownership of qualified opportunities handed off from SDRs, marketing, or inbound channels. Conduct tailored product demos that highlight value for life sciences R&D and decision-makers. Manage all stages of the evaluation process including discovery, technical validation, procurement, and legal/contract discussions. Partner closely with our scientific and customer success teams to ensure prospects see the full scientific and business value of the platform. Develop relationships with both technical and business stakeholders, from bench scientists to executives. Drive opportunities to close, consistently achieving or exceeding quarterly/annual revenue targets. Maintain accurate pipeline management and forecasting in the CRM. Provide customer feedback to help refine product and positioning. What We're Looking For 3+ years of closing experience in SaaS or scientific software, with at least 1–2 years selling into biotech, pharma, or life sciences organizations. Proven track record of success running the full sales cycle from demo to close. Familiarity with scientific workflows (omics, bioinformatics, computational biology, or drug discovery) and ability to communicate credibly with technical audiences. Strong presentation, negotiation, and closing skills. Experience navigating procurement and legal processes in life sciences or enterprise contexts. High attention to detail and ability to operate in a fast-paced, high-growth environment. **Curiosity, persistence, and a drive to understand how things work **High energy, strong work ethic, and a track record of getting things done **Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft Preferred Background in life sciences (education or prior industry role). Experience selling AI/ML or data platforms to R&D teams. Existing network in biotech/pharma. What You’ll Love Ownership: The customer voice and the motion—you’ll build it Impact: Help the world’s best scientists discover drugs faster and change lives Speed: Our deals close fast, our product ships fast, and our growth is real Team: Work alongside world-class AI scientists, engineers, and biotech experts Culture: Smart, humble, fast-moving people. No red tape, no fluff Location: Beautiful SF office, in-person team Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, vision) + 401(k) with top-tier plans Compensation Range: $150K - $300K

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a QA Engineer, Scientific Software to build the test, validation, and monitoring infrastructure that guarantees the correctness and reliability of the Mithrl AI Co-Scientist. This role requires a PhD-level scientist or computational biologist who understands the drug development lifecycle and who has hands-on experience with omics data. Without this scientific foundation, it is not possible to evaluate whether Mithrl’s outputs are biologically meaningful. You will create automated tests for analysis workflows, ingestion pipelines, and discovery applications. You will build CI systems that catch regressions early, set up monitoring and alerting for system behavior, and ensure that every module in Mithrl produces scientifically valid and reproducible outputs. This role bridges scientific understanding with software quality engineering and is critical for maintaining trust in Mithrl’s analysis engine. If you are a scientist with a passion for product reliability, reproducibility, and validation of ML powered scientific tools, this is a uniquely impactful position. WHAT YOU WILL DO Build automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product features Develop scientific validation frameworks that check correctness and reproducibility of ML driven biological analyses Establish CI workflows that run end to end tests on every commit and catch scientific and computational regressions Build monitoring and alerting systems that track the health, performance, and scientific integrity of product modules Design automated checks for omics workflows Validate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical development Work closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releases Maintain documentation, data fixtures, and gold standard datasets for regression testing Support the development of QA processes that scale with rapid product growth and new analysis capabilities Build a culture of scientific correctness and software reliability throughout the engineering and product teams WHAT YOU BRING Required Qualifications PhD in biology, computational biology, bioinformatics, systems biology, or a related discovery field Deep understanding of the drug discovery and preclinical development lifecycle Hands-on experience working with omics data such as transcriptomics, RNA-seq, proteomics, ATAC-seq, single cell datasets, or imaging-derived features Ability to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledge Familiarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importance Experience with Python or similar languages and comfort with scientific computing workflows Strong interest in software quality, reproducibility, and validation of ML driven scientific systems Excellent communication skills and ability to partner with engineers and scientists Nice to Have Experience building automated tests or QA frameworks for scientific or ML systems Experience with workflow engines, scientific pipelines, or reproducibility tools Familiarity with CI tools and modern software development practices Experience validating outputs of AI powered analysis tools Previous work in a tech bio company or computational platform environment WHAT YOU WILL LOVE AT MITHRL High ownership: You will be the guardian of scientific correctness and reliability inside the AI Co-Scientist Impact: You will work with cutting edge ML, multi modal data, and real discovery workflowsTeam: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

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: www.waabi.ai 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 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: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization. You will... • Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing., • Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones., • Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities., • Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs., • Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data. Qualifications • Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics)., • BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar., • Strong command of SQL, and familiarity with Python for data manipulation and prototyping., • Experience building clear, automated dashboards using modern BI tools or custom frameworks., • Experience working with internal cross-functional partners/stakeholders, • 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 the Autonomous Vehicle or Robotics industry., • Experience with large scale databases and analytics, • Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement The US yearly salary range for this role is: $128,000 - $184,000 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 Lean In & The Sandberg Bernthal Family Foundation The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program. Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives. Role Overview We are looking for a Data Scientist who can transform data into meaningful, actionable insight. Someone who is rigorous in analysis, thoughtful in interpretation, and motivated by impact. In this role, you will help us understand our community experience, measure what works, and guide strategic decisions that shape our products, programs, and reach. Your work will directly influence how we serve millions of women and allies around the world. What You’ll Do Turn Data into Insight- Identify trends and patterns in data to uncover opportunities for growth and improvement- Translate complex findings into clear, practical recommendations that inform decisions- Design and conduct analyses to understand user engagement, content effectiveness, and program impact Drive Product and Program Impact- Partner with product, marketing, and program teams to define meaningful metrics and measure success- Develop experimentation frameworks and analyze A/B tests to optimize features and experiences- Build predictive models and recommendation systems that personalize and strengthen user journeys Build Strong Foundations- Create dashboards and visualizations that make insights accessible to both technical and non-technical stakeholders- Build and maintain reliable data pipelines (data engineering experience preferred) - Design and optimize data infrastructure and warehousing solutions- Ensure data quality, governance, and consistency across systems- Work across the full data stack - from raw data ingestion to reporting and storytelling What You Will Bring Required- 3+ years of experience in data science, analytics, or a related field- Strong proficiency in Python or R, SQL, and data visualization tools- Experience with statistical analysis, machine learning, and experimental design- Solid understanding of data engineering principles and data pipelines- Familiarity with modern data tools (e.g., cloud data warehouses, ETL tools, BI platforms)- Ability to communicate complex analyses in a clear, compelling wayStrong problem-solving skills and intellectual curiosity- Excellent collaboration skills and experience working cross-functionally- Deep commitment to Lean In’s mission to inspire and equip women to lead Preferred- Understanding or experience with user experience research - Experience in mission-driven or social impact organizations- Genuine alignment with the broader initiatives of the Sandberg Bernthal Family Foundation, including building resilience and advancing equalityWhat We Will Offer You • Base Salary: $140,000 – $165,000 based on experience, skills, and qualifications, • Performance Bonus: Up to 15% of base salary annually, • Medical, dental, and vision insurance, • 401(k) with a 4% employer match, • Generous paid time off, • Additional benefits designed to support well-being and long-term success Work Location: We believe in the power of in-person collaboration. This role is based in San Francisco, with a hybrid schedule of three days in office per week (currently Monday, Tuesday, and Thursday) and remote flexibility on other days, beginning September 2026. The Sandberg Goldberg Bernthal Family Foundation is committed to Equal Employment Opportunity without regard to age, race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. It’s important to us that people of all identities and backgrounds see themselves represented and included in our work, so we actively encourage people of all identities and experiences to apply.

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl’s multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl’s AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly. If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here. WHAT YOU WILL DO Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability Implement quality control, validation, and provenance tracking for all supported modalities Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl’s internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform WHAT YOU BRING Required Qualifications 6 to 8 years of experience in bioinformatics workflow engineering or computational biology Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems Proficiency in Python or R for data processing, QC, and pipeline logic Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics Ability to design pipelines that are reproducible and containerized using Docker or Singularity Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats Nice to Have Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy Familiarity with genomic reference databases, annotation formats, and biological ontologies Previous work in a tech bio startup, biotech R&D group, or scientific software company WHAT YOU WILL LOVE AT MITHRL You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job Description ABOUT MITHRL We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. WHAT YOU WILL DO Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines. Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data. Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform. Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems. WHAT YOU BRING Must-have 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data. Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures. Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data. Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning. Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability. Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions. Nice-to-have Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs). Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions. Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion. Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically. Any background in computational biology / lab-data / bioinformatics is a bonus — though not required. WHAT YOU WILL LOVE AT MITHRL Mission-driven impact: you’ll be the gatekeeper of data quality — ensuring that all scientific data entering Mithrl becomes clean, consistent, and analysis-ready. You’ll have outsized influence over the reliability and trustworthiness of our entire data + AI stack. High ownership & autonomy: this role is yours to shape. You decide how ingestion works, define the standards, build the pipelines. You’ll work closely with our product, data science, and infrastructure teams — shaping how data is ingested, stored, and exposed to end users or AI agents. Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring an ML Engineer, Discovery Applications to build the high level, end-to-end scientific workflows that power real bench to bench decision making inside the Mithrl platform. This role focuses on building the application layer on top of the AI Co-Scientist. Your work will shape how scientists discover biomarkers, identify and validate targets, design experiments, and run early discovery programs that extend all the way to IND-enabling work. This role requires a deep understanding of the discovery and preclinical development cycle. You should understand how research teams move from early target hypotheses to biomarker strategy, hit identification, hit to lead, lead optimization, and preclinical validation. Your applications will support decision making across this entire arc and will be consumed directly by scientists and program teams. You will design multi step workflows that combine analysis modules, ML models, domain logic, and agentic reasoning into complete applications. These applications cover biomarker discovery, target ID, target validation, small molecule hit identification and optimization, and gene therapy workflows. You will also extend applications to support new data modalities as our platform expands. WHAT YOU WILL DO Build full discovery applications that support biomarker identification, target discovery, target validation, small molecule design workflows, and gene therapy programs Stand up new analyses that support application logic and improve or extend the existing analysis suite Create multi step reasoning flows that integrate ML models, statistical methods, pathway context, simulation tools, and biological domain logic Design application specific workflows for compound evaluation, program prioritization, and multi modal evidence integration Extend existing applications to incorporate new data modalities and new analysis routines Build reusable frameworks for Design of Experiments across biomarker discovery, target ID, validation, small molecule programs, and gene therapy Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists Collaborate closely with ML engineers, bioinformatics teams, and data ingestion teams to ensure workflows run on consistent data Validate scientific correctness and ensure applications produce accurate, reproducible, and interpretable results WHAT YOU BRING Required Qualifications Strong experience in ML, computational biology, scientific computing, or a related field Deep understanding of the drug discovery and preclinical development cycle including early discovery, target identification, target validation, hit identification, hit to lead, lead optimization, and IND-enabling work Experience building analytical workflows or application logic for biological or scientific data Familiarity with key discovery analysis methods such as differential expression, pathway analysis, clustering, enrichment, and target scoring Proficiency in Python and scientific computing libraries and comfort with building multi step workflows Ability to convert scientific questions into structured, reproducible workflows that support real decision making Strong communication skills and ability to collaborate with cross functional engineering and biology teams Nice to Have Experience building LLM powered agents or multi agent reasoning systems Experience with multi modal biological data integration Experience with computational chemistry tools such as docking or ADMET modeling Familiarity with biological ontologies, curated knowledge sources, or pathway databases Prior experience in a tech bio startup, biotech R&D group, or scientific software platform WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will build the decision making applications that scientists rely on throughout the discovery and preclinical process Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

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: www.waabi.ai 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 DescriptionAbout Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes Why This Role Matters Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. This isn't theoretical—it's real momentum with top-tier biopharma companies. As our BDR, you'll initiate conversations with leading scientists and decision-makers, uncover critical pain points, and open doors to breakthroughs that could lead to life-saving therapies. Join us early, grow fast, and make a meaningful impact on scientific discovery. What You'll Do Core Responsibilities: Identify and prospect high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders Qualify inbound leads and schedule qualified meetings for our sales and science teams Collaborate with founders and commercial leadership on messaging optimization and market expansion Growth & Learning: Master the fundamentals of genomics, RNA-seq analysis, and AI applications in drug discovery Document customer insights to inform product development and marketing strategy Help build and scale our go-to-market engine from the ground up What We're Looking For Experience: 2-5 years in SDR/BDR role, preferably in biotech, life sciences, AI, or enterprise SaaS Track record of meeting/exceeding quota in complex B2B sales environments Core Skills: Exceptional written communication with ability to simplify complex technical concepts Strong research and prospecting abilities Comfortable with ambiguity and rapid iteration Active listening skills and ability to identify genuine pain points Mindset: Intellectual curiosity about science and technology Persistence and resilience in face of rejection Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline Bonus Points: Experience with scientific software or life sciences customers Familiarity with genomics or bioinformatics Track record in early-stage startup environments Compensation Range: $75K - $120K

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: www.waabi.ai 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., • Strong background in graphics, geometry, rendering systems, or simulation. The US yearly salary range for this role is: $155,000 - $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: www.waabi.ai 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., • Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy. The US yearly salary range for this role is: $155,000 - $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 ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer’s journey from day one, this role is an ideal match. WHAT YOU WILL DO Deploy Mithrl into customer private clouds including AWS, Azure, or GCP Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation Validate deployed environments through functional, performance, and scientific smoke tests Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments Implement automation and internal tools that make deployments faster, more reliable, and more repeatable Serve as a technical advisor to customers during onboarding and through early product adoption Document deployment guidelines, architecture templates, and integration playbooks Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications Strong experience with cloud environments such as AWS, Azure, or GCP Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups Software engineering fundamentals and proficiency in Python or a similar language Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes Ability to diagnose and resolve issues involving networking, storage, compute, and configuration Experience working directly with external stakeholders in highly technical environments Excellent problem solving skills and the ability to adapt quickly in complex customer deployments Strong communication skills and ability to build trust with customer teams Nice to Have Experience integrating ML or data heavy platforms into enterprise environments Experience with Terraform or CloudFormation Experience with secure data environments, regulated R&D teams, or biotech customers Familiarity with scientific computing or R&D workflow tools Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

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