Applied Ai Architects Manager Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while balancing User Experience and Platform Revenue. We are hiring a Senior Applied Scientist II to lead the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematic

ML Applied Research Manager — Bucharest. Apply via Workday.

Staff Applied Scientist, 3D - Firefly Foundry — 3 Locations. Apply via Workday.

Lead Applied Researcher — 2 Locations. Apply via Workday.

Since 1971, CFM Company has been delivering high-performance HVAC and sheet metal solutions across Colorado and Eastern Wyoming. We represent top-tier manufacturers and support our customers through every stage—from system design and selection to logistics, installation, and beyond. Our team is built on relationships, driven by service, and committed to doing the job right. If you're ready for what's next, we’re excited you found us. At CFM, you’ll be part of a company that combines deep local roots with the backing of a national network—giving you the tools to grow, the freedom to take on new challenges, and the chance to make a lasting impact in the communities we serve. We review every application carefully and appreciate your interest in growing your career with our team. The Project Coordinator / Inside Sales role is a key support function within the sales organization, responsible for driving accuracy and execution across the HVAC project lifecycle. This position supports outside sales teams by managing estimating, quoting, submittals, and order coordination while maintaining strong communication with contractors and manufacturers. The role directly contributes to successful bid outcomes and project delivery. The ideal candidate is detail-oriented, highly organized, and comfortable working in a fast-paced construction-driven environment where deadlines, accuracy, and communication are critical. Base Compensation: $22.00/ hr. - $46.00/hr. Level 1 – Entry (0–2 years) Scope: Basic take-offs, quoting support, order entry, guided estimating support, and project tracking. Level 2 – Developing (2–5 years) Scope: Independent estimating, submittals, contractor interaction, full project support ownership. Level 3 – Advanced (5+ years) Scope: Complex estimating, bid strategy support, manufacturer coordination, high-level project execution. Key Responsibilities Sales & Project Support Assisting outside sales in supporting contractor bids and project opportunitie

Since 1971, CFM Company has been delivering high-performance HVAC and sheet metal solutions across Colorado and Eastern Wyoming. We represent top-tier manufacturers and support our customers through every stage—from system design and selection to logistics, installation, and beyond. Our team is built on relationships, driven by service, and committed to doing the job right. If you're ready for what's next, we’re excited you found us. At CFM, you’ll be part of a company that combines deep local roots with the backing of a national network—giving you the tools to grow, the freedom to take on new challenges, and the chance to make a lasting impact in the communities we serve. We review every application carefully and appreciate your interest in growing your career with our team. We are seeking a talented Commercial HVAC Equipment Sales Executive with minimum 5+ years’ sales and leadership experience. Under minimal direction, this outside sales role is responsible for the sale of commercial HVAC equipment and systems to owners, engineers, architects, contractors (mechanical) and consultants. You will build and manage long-term customer relationships with your customers, accounts, and manufacturers. The Account Executive - Applied is responsible for promoting, applying, and selling commercial and HVAC equipment and systems represented by CFM. This role focuses on developing relationships with consulting engineers, contractors, architects, and building owners to influence system design, support project development, and drive product specifications. The Account Executive - Applied provides technical, application, strategic, and marketing support to external customers including consulting engineers, contractors, and end users. This position works closely with internal sales, project coordinators, project engineering, and support teams to manage project opportunities from early design through bidding, submittals, and project execution. Compensa

About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. This is not a generic ML role with some experimentation work on the side. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems. You will join a small, senior pod of causal ML and econometrics experts working across ML, Analytics, Product, and Engineering. The mandate is to build the causal spine for a large-scale consumer marketplace. You're excited about this opportunity because you will… Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals. Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation. Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions. Build systems that connect experimentation, observational data, and ML decisioning so teams can make better tradeoffs when randomized experiments are slow, noisy, or incomplete. Design surrogate metrics and early indicators that help teams move faster while preserving long-term marketplace health. Partner with econometrics and analytics leaders to choose the right methods: doubly robust estimation, IV, diff-in-diff, synthetic controls, double ML, CUPED-style variance re

Role: An established quantitative portfolio management team at Point72 is looking for an experienced trader to oversee the team’s trading process, contribute to its core business, and develop new areas of expertise. This is an opportunity for candidates with expertise in systematic trading to take on a leading role on the front lines of the team’s investment process. Responsibilities: Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning. Execute trades in rates instruments across global OTC markets. Build relationships and negotiate trades with liquidity partners to achieve best execution. Monitor and support portfolio construction, execution, connectivity, and related processes. Help conduct post-trading execution and transaction cost analysis and suggest ways to improve. Support the international implementation of internally developed algorithms and help monitor them for any trading issues. Requirements: 2+ years of work experience in algorithmic trading and exposure to systematic macro strategies, ideally with experience in futures, fixed income, FX, and exchange-traded global equities. Undergraduate or higher degree in computer science, statistics, applied mathematics, engineering, or other quantitative discipline. Familiarity with SQL and Python. Familiarity with vendor trading platforms including Tradeweb and Bloomberg. Detail-oriented and vigilant about potential operational risks. Strong quantitative skills and sensitivity to numbers. Commitment to the highest ethical standards.

Do you enjoy solving complex supply chain problems? Are you passionate about adding value to Fortune 500 companies? Do you have relevant experience and skills in the supply chain industry? Do you get energy from diving into implementations and its technicalities? And are you ready to take your career to the next level? If you answered yes, you might be the Senior Supply Chain Implementation Consultant we’re looking for. Your Challenge As a Senior Supply Chain Implementation Consultant, you have one goal: provide your customers with innovative supply chain solutions specific to their industry. Using OMP’s leading planning technology, you optimize planning and decision-making for our customers. You’re responsible for the technical realization of your projects and serve as the main point of contact for your customers. You guide customers through the entire project life cycle , which involves: Analyzing the customer’s planning challenges and advising them in choosing the best solution for their specific needs. Determining feasible project plans in collaboration with OMP’s project managers. Finding clever planning solutions in collaboration with our solution architects to ensure correct implementation. Implementing the solution from start to finish, together with the customer’s project team. Providing expertise before, during, and after implementation. Training customers and helping them to get the most of their solution. Implementing our bi-directional SAP integration solution Although you’ll be visiting customers regularly (about 20% of your time), you won’t be outsourced. In this way, you remain rooted in our team of experts and consultants. In addition to realizing customer projects, you also support the personal development of junior consultants by guiding, coordinating, and coaching them. About you Essential talents and qualifications: A Master's degree in Engineering (Business, Civil or Industrial) or Applied Sciences - relevant study dom

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This is an exciting opportunity to advance Natera’s regulated product portfolio of cutting-edge molecular diagnostic tests. As a Staff Biostatistician, you will leverage your strong applied statistics, IVD, and Clinical Research expertise to drive the strategy, design, analysis, and interpretation of clinical validation studies for kidney disease and other high-priority germline projects. PRIMARY RESPONSIBILITIES: Strategic Study Design and Analysis: Independently lead the design, analysis, and interpretation of clinical validation studies to support in vitro diagnostic approvals (e.g., CDx, 510(k), PMA, etc.) Regulatory Compliance: Ensure statistical methodologies and analyses meet the standards set by regulatory agencies such as FDA. Drive statistical interactions with regulatory authorities. Documentation and Reporting : Prepare comprehensive statistical analysis protocols (SAPs), reports, and presentations for cross-functional and external collaborators and stakeholders. Cross-Functional Leadership : Serve as the statistical lead on high-priority project teams. Partner with Clinical Science, Data Management, and Product teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams Clinical Research and Beyond: Drive design and execution of high-impact research clinical trials, studies, and publications that push the development of our world-class product portfolio Stay current with advancements in Biostatistics and clinical validation methodology, implementing innovative approaches to support diagnostic product development and regulatory submissions Mentor and provide technical supervision to junior team members QUALIFICATIONS: Education : Ph.D. or Master's degree in Biostatistics, Statistics, or a related field Experience : At least 8 years of relevant industry experience, preferably within molecular diagnostics, biotechnology,

This is an exciting opportunity to advance Natera’s regulated product portfolio of cutting-edge molecular diagnostic tests. As a Staff Biostatistician, you will leverage your strong applied statistics, IVD, and Clinical Research expertise to drive the strategy, design, analysis, and interpretation of clinical validation studies for kidney disease and other high-priority germline projects. PRIMARY RESPONSIBILITIES: Strategic Study Design and Analysis: Independently lead the design, analysis, and interpretation of clinical validation studies to support in vitro diagnostic approvals (e.g., CDx, 510(k), PMA, etc.) Regulatory Compliance: Ensure statistical methodologies and analyses meet the standards set by regulatory agencies such as FDA. Drive statistical interactions with regulatory authorities. Documentation and Reporting : Prepare comprehensive statistical analysis protocols (SAPs), reports, and presentations for cross-functional and external collaborators and stakeholders. Cross-Functional Leadership : Serve as the statistical lead on high-priority project teams. Partner with Clinical Science, Data Management, and Product teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams Clinical Research and Beyond: Drive design and execution of high-impact research clinical trials, studies, and publications that push the development of our world-class product portfolio Stay current with advancements in Biostatistics and clinical validation methodology, implementing innovative approaches to support diagnostic product development and regulatory submissions Mentor and provide technical supervision to junior team members QUALIFICATIONS: Education : Ph.D. or Master's degree in Biostatistics, Statistics, or a related field Experience : At least 8 years of relevant industry experience, preferably within molecular diagnostics, biotechnology,

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu