Machine Millwright Titleist Jobs

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The mission of the search and discovery team is to connect a billion users with the best connections and content at the right time, covering an extremely diverse range of recommendations and search problems at high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. Our recommendation systems suggest all games that the users see and play with across all surfaces. As a Senior Engineering Manager for the Search & Discovery ML team, you will lead the architects of exploration for one of the world's largest immersive platforms. You will be responsible for the core algorithms that connect over 120 million daily active users with millions of 3D experiences, items, and social connections. This is a high-impact leadership role where your team’s models directly determine the growth, retention, and satisfaction of the Roblox community. You will move beyond traditional recommendation systems into the realm of multimodal, agentic, and generative discovery . You Will: Lead and grow a high-performing team of machine learning engineers, fostering a culture of ownership, collaboration, and engineering excellence. Establish a lo

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

The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This role bridges physical testing, player testing, Tour-level data collection, and advanced analytics to deliver actionable insights that influence product design, product validation, and performance optimization. The ideal candidate is a hands-on engineer with strong mechanical aptitude, advanced data skills, deep golf intuition, and the ability to translate player feedback into clear engineering direction. Essential Functions and Key Responsibilities: Lead the design and execution of advanced performance testing protocols for golf clubs and balls, including lab, player, field, and Tour-based testing environments. Serve as a category-focused Performance Engineering owner for one or more product areas, with potential emphasis across Woods, Irons, Putter/Wedge, or cross-category initiatives. Support PGA/LPGA Tour and elite-athlete testing by collecting clean, repeatable, decision-ready data while operating professionally and respectfully in player-facing environments. Analyze large datasets from lab, player, and field testing to extract insights on ball speed, launch, spin, consistency, delivery, impact location, dispersion, and performance tradeoffs. Translate Tour and player-test observations into clear engineering recommendations, product questions, validation plans, and follow-up experiments. Develop and maintain automated data pipelines, dashboards, and reporting tools for performance tracking, project communication, and cross-functional decision-making. Collaborate with R&D, Product Development, Tour, Fitting, Consumer Insights, and Analytics teams to integrate player feedback and real-world data into product design.

Bay Yield & Occupancy Optimization The foundation of this role is treating each bay as what it is: perishable, time-limited inventory. This leader will own RevPAB as the enterprise performance standard — building the reporting, forecasting, and incentive structures that hold venues accountable to yield performance. Own Revenue Per Available Bay Hour (RevPAB) as the primary enterprise performance metric and build the organizational discipline around it Establish occupancy targets by venue, daypart, day of week, and season — and create visibility into performance against those targets Develop booking controls, minimum duration rules, and real-time availability tools to minimize empty bay-hours during peak demand Build waitlist and cancellation management capabilities to recover revenue from late cancellations and no-shows Set Average Daily Rate (ADR) benchmarks and yield performance standards across the portfolio Dynamic Pricing Engine Topgolf has the opportunity to move from static national pricing to a true dynamic pricing model — one that adjusts bay rates in response to real-time demand signals the way leading hotel and airline systems do. This is the most consequential technical build this role will lead. Lead the design, procurement, and implementation of a Revenue Management System (RMS) suited to Topgolf's bay-inventory model Build pricing logic that responds to booking pace, current occupancy, historical patterns, booking window, and local market conditions Develop differentiated rate curves by day of week and daypart that reflect actual guest willingness to pay Partner with Technology and Data to automate pricing recommendations and reduce manual intervention over time Establish a testing and optimization framework for pricing changes — moving from intuition-based to data-driven pricing decisions

Become a part of our caring community The Associate Vice President, Model & AI Governance, is the enterprise leader responsible for establishing and overseeing the organization’s framework for model governance, artificial intelligence (AI) risk management, responsible AI and AI governance. Reporting to the Chief Audit & Risk Officer, this executive provides independent second-line oversight and challenge of the organization’s use of models, advanced analytics, machine learning, generative AI, and emerging AI technologies. The role establishes the governance, risk-management, control, monitoring and escalation framework necessary to ensure AI models are deployed in a manner that is safe, ethical, transparent, explainable, compliant, secure and aligned with the organization’s mission and risk appetite. The Associate Vice President, Model & AI Governance, partners closely with executive leadership, technology, data and analytics, clinical/business leaders, compliance, legal, privacy, cybersecurity, information security, internal audit, enterprise risk management and other control functions to ensure AI-related risks are identified, assessed, governed, monitored, and appropriately reported. This leader will serve as an advisor to executive management on emerging model and AI risks, while maintaining appropriate independence from the teams developing and deploying models and AI solutions. Key Responsibilities Own and continuously enhance the enterprise model governance framework, including model identification, inventory, classification, risk tiering, development, validation, approval, implementation, monitoring, change management, retirement and documentation. Define model risk appetite, risk taxonomy, minimum control standards, governance requirements and escalation thresholds. Provide effective challenge over model

ROLE SUMMARY As an AI-enabled strategic scientific leader, you will partner with Oncology Research Leadership to integrate AI-driven strategies that will drive data-informed decision-making across our Oncology Research pipeline. As the AI Portfolio Lead, you will bridge cutting-edge AI/advanced analytics with deep Oncology R&D expertise to guide our portfolio strategy. Working as an individual contributor reporting into the Head, Portfolio Strategy and Program Management, you will analyze and continuously assess Oncology Research projects using AI-driven insights (predictive models, scenario simulations, competitive intelligence) and propose actionable strategies to Oncology Research Leadership. This role is science-focused and spans across discovery and preclinical stage programs, ensuring that our project teams pursue the most promising scientific approaches and mechanisms of action. Your work will directly inform pipeline prioritization and resource allocation decisions, enhancing the quality and objectivity of governance deliberations with robust data. ROLE RESPONSIBILITIES Portfolio Analysis and Insights: Continuously analyze the oncology Research portfolio (ESD through Preclinical) using advanced AI/ML tools and analytics to evaluate each program’s scientific strength, probability of success, and strategic portfolio fit per disease area strategies. Strategy Recommendation: Develop and propose data-driven portfolio strategies (at both project and portfolio levels) to senior leaders and Research governance committee. Use scenario analysis and predictive modeling to highlight optimal project prioritization, pipeline balance, and resource allocation scenarios. AI-Enabled Decision Support: Integrate AI-derived insights (e.g. machine learning predictions, knowl

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is The World’s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box we’re looking for lifelong learners and people who can make us better with their unique experiences. The Technology Data and Intelligence (TDI) team at Okta is dedicated to boosting internal efficiency through the implementation of secure, scalable, and innovative systems. About the Role We are looking for a Senior Salesforce Product Analyst to join the TDI team and help scale our internal systems with a focus on security and reliability. You will leverage your deep knowledge of CPQ and Sales Cloud, covering everything from provisioning to case management, to partner with GTM teams and uncover data-driven efficiencies. In this role, your work will bridge the gap between business needs and technical solutions to drive operational success. Key Responsibilities: Requirements Gathering and Analysis: Work closely with business stakeholders to understand their requirements and challenges, translating them into detailed and actionable user stories. Conduct thorough analysis of existing proc

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Global Pricing Operations Team The Pricing Operations team works in a cross-functional, fast-paced, and dynamic environment with many moving pieces and evolving business needs. The team partners with Pricing Strategy Managers, Product Managers, Technology, Data & Intelligence, and various GTM teams to ensure Okta is operationally ready to bring new product pricing, buying programs, and strategic monetization initiatives to market. The Pricing Operations Principal Opportunity Okta is seeking a Pricing Operations Principal to lead initiatives that transform Okta's pricing strategy into successful go-to-market execution. A successful person in this role will be a strong collaborator, intensely curious, and supremely organized. They are known for connecting the dots, simplifying complexities, communicating clearly and proactively, and driving highly collaborative efforts to completion, even when the path forward isn't perfectly defined. In this role, you will serve as an operational leader for new pricing launches and a strategic buying-program implementation, establishing the integrated roadmap, operating cadence, decision-making framework, readiness criteria, and stakeholder communications required to bring these initiatives from concept through launch and sustained adoption. You will partner closely with senior cross-functional leaders to make complex tradeoffs, resolve dependencies, and ensure the business is ready to sell, quote,

Job Title Demand Planner, Supply Chain, Personal Health (Stamford CT) Job Description 589964 Demand Planner, Supply Chain, Personal Health (Stamford, CT) As a Demand Planner, Supply Chain, Personal Health, you will lead the development and execution of the demand planning process, leveraging data, market insights, and cross-functional collaboration to improve forecast accuracy, optimize inventory, and support strategic business decisions. Your role: Lead and optimize the end-to-end demand planning process, developing accurate and timely forecasts that incorporate market dynamics, consumer trends, customer insights, and business objectives across assigned product categories. Partner closely with sales, marketing, supply chain, and other cross-functional teams to drive consensus demand planning, align supply and demand, and ensure demand plans are updated in support of business planning cycles and strategic decision-making. Develop and refine demand planning models, tools, and analytical frameworks, leveraging advanced analytics and machine learning to improve forecast accuracy, anticipate demand fluctuations, and optimize inventory management. Analyze internal and external data and key performance indicator trends to identify risks, supply chain disruptions, and process improvement opportunities; develop and implement solutions that improve operational efficiency and customer satisfaction. Drive continuous improvement across the demand planning function by implementing demand planning systems and emerging technologies, establishing best practices, and supporting talent management activities including selection, performance management, career development, and day-to-day operational leadership. You're the right fit if: You’ve acquired 3+ years of experience with a Bachelor’s degree or 1&#4

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. What’s the InMobi family like? Featured among the “Great Places to Work” in India, China and other geographies since 2017, our Culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion. What

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. Overview of the Role: The Global Enterprise Marketing team operates across brands, channels, events, and geographies, and moves fast. We're looking for a sharp, organized Marketing Events & Operations Coordinator to be the connective tissue that keeps it all running during our highest-stakes, most visible moments. This role reports to the Head of Experiential Marketing and supports the broader cross-functional enterprise

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times Graphics team is looking for a reporter with extensive open-source and investigative reporting skills to turn raw evidence into impactful visual stories. You have a track record for uncovering exclusive information off the news. The Graphics team is a leader in using spatial and visual techniques on investigative stories, and we're looking for someone who is passionate about accountability journalism using cutting-edge reporting techniques. Below are a few examples of the kinds of stories that you will be a part of: An exclusive look at the failed columns of the Midtown Manhattan near-collapse A 3-D analysis of why firefighters' lines of sight were limited in the deadly LaGuardia Crash An investigation into the mass graves in Syria An investigation into the causes of a Miami building collapse A spatial investigation into a deadly fire in the Bronx A forensic analysis of an apartment building collapse in the Turkey earthquake Working with journalists on the Graphics team and across the newsroom, you will play an important role in shaping visual reconstructions and investigations that rely on spatial analysis or use 3-D modeling. You will gather and analyze evidence for stories across a wide range of topics for both quick-turn stories as well as longer-term enterprise. You will be expected to take the initiative in leading major storylines, with the goal of uncovering new or exclusive findings across multiple visual story fo