Machine Millwright Titleist 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 As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists. The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team inclu

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Who we are About the team Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers. What you'll do We're looking for machine learning engineers who want to build intelligent systems that provide financial data at scale. You'll play a key role in designing, training, and deploying ML models that improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can im

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

Senior Machine Learning Engineer — NY - New York. Apply via Workday.

Location : Coimbatore - Peelamedu / Kalapatti / Thennampalayam / Arasur / Neelambur / Ondipudur / Sulur / Saravanampatti / Kurumbapalayam / Kovilpalayam / Thudiyalur / Periyanaickenpalayam / Idikarai Contact : 88702 66194 Qualification : 10th / 12th / Any ITI / Diploma / Degree Freshers / Experience : 0 to 2 yrs. Salary : Rs.20000/- to 26000/- Timing : 8 Hrs Shift + (OT Extra) Position : • Machine Operators • Machinists • CNC Operators • VMC Operators • Trainee • Assistants • Helpers • Electricians / Electrical Maintenance • Data Entry / Store & Warehouse Executives Sunday Holiday Room Free..! Canteen & Mess Available..! ESI, PF, Bonus Available..! Contact : Ayush - 88702 66194

Machine Operators / Assistants - (Female / Freshers) Location : Coimbatore Thudiyalur / Idikarai / Vellamadai / Pannimadai / Saravanampatti / Periya Naickenpalayam / Karamadai / kovilpalayam Contact : 88702 66194 Qualification : 10th & 12th / Any ITI / Diploma / Degree Freshers / Experienced : Both can apply Salary : Rs.18000/- to 22000/- Timing : 6.30AM 2.30PM, 2.30Pm 10.30PM (Rotational shifts) Room Free..! Food Facility available..! Sunday Holiday ESI, PF, Bonus - available! Contact : 88702 66194

Machine Operators / Assistants - Freshers (Day Shift only) Location : Coimbatore Thudiyalur / Idikarai / Vellamadai / Pannimadai / Saravanampatti / Periya Naickenpalayam / Karamadai / kovilpalayam Contact : 88702 66194 Qualification : 10th & 12th / Any ITI / Diploma / Degree Freshers / Experienced : Both can apply Training will be given:- Stamping Press Machine Laser Cutting Machine Robo Welding CNC Turning Assembly Section Salary : Rs.20000/- Timing : 8Hrs Shift + OT Extra Sunday Holiday Room & Food facility Available..! ESI, PF, Bonus - available! Contact : 88702 66194

Machine Operators / CNC / Assistants - (Male / Freshers) Location : Coimbatore Pollachi / Kinathukadavu / Malumachampatti / Sundarapuram / Eachanari / Othakalmandapam Contact : 88702 66194 Qualification : 10th & 12th / Any ITI / Diploma / Degree Freshers / Experienced : Both can apply Salary : Rs. 16000/- (For 8 Hrs Shift) Rs. 23500/- (For 12 Hrs Shift) Timing : 8 Hrs. + Overtime (Rotational shifts) Room Free..! Lunch Free..! Canteen Facility available..! Sunday Holiday ESI, PF, Bonus, Increments, Uniforms, Shoes - available! Contact : 88702 66194

Contact : 88702 66194 Location : Coimbatore - Thennampalayam / Arasur / Neelambur / Peelamedu / Sulur (Peelamedu / Singanallur / Ondipudur / Sulur / Thudiyalur / Periyanaickenpalayam / Idikarai / Saravanampatti / Kovilpalayam / Thennampalayam / Arasur / Neelambur) (Pollachi / Achipatti / Kinathukadavu / Othakal Mandapam / Sundarapuram / Eachanari) Qualification : Any - 10th / 12th / ITI / Diploma / Degree Salary : 20000/- to 26000/- Timing : 8 Hrs Shift + OT Extra Sunday Holiday Room Free..! Food facility available..! ESI, PF, Bonus available..! Contact : 88702 66194

Location : Coimbatore Gandhipuram Qualification : Any - 10th / 12th / ITI / Diploma / Degree Salary : 20000/- to 26000/- Timing : 8AM 8PM (Day shift only) Sunday Holiday Room Free..! Food facility available..! ESI, PF, Bonus available..! Contact : 88702 66194

Jobs at : Coimbatore Thudiyalur / Kavundampalayam / Idikarai / Periya Naicken Palayam / Karamadai / Pannimadai / Vellamadai / Saravanampatti / Ondipudur / Sulur Contact : 88702 66194 Qualification : 10th / 12th / ITI / Diploma / Degree - Any Freshers - Male Candidates Salary : Rs.20000/- to 26000/- (8 Hrs Shift / Overtime extra / Sunday Holiday / ESI, PF available) Room Free..! Food facility available..! Contact : 88702 66194