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Qualifications • Bachelor’s degree in computer science or equivalent • 2-4 years of software development engineering experience • Proficiency in variety of programming languages (Python, Java, C#) • Experience with Google cloud or Amazon Web Services and their capabilities. • Thorough understanding of software methodologies and DevOps practices. • Experience with the implementation and optimization CI/CD Pipelines. • Experience with the automation of test cases. • Good intuition for software design, actively looking to learn from other teams and projects. • Experience with data formats and locality with performance considerations. • Demonstrated experience solving performance and data issues by applying experience/knowledge. • Completely comfortable working with live production systems, debugging issues and taking careful actions with protections against damage. • Contributes to establishing and maintaining corporate policies related to technology. • Familiarity with AI Tools and AI First mindset At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise.

Build & establish a strong team with a leadership pipeline; coach and develop talent within each functional area of fulfillment ( Fulfillment, Quality, Warehouse, and Shipping) Develop trust, credibility, effective and collaborative relationships with Hellofresh peers and direct reports Be the liaison between the site operations and other functions within Headquarters, helping your team to identify the key priorities for the site Develop high standards for execution to meet all KPI’s & financial metrics while supporting your team in achieving daily, weekly, monthly and annual goals Ensure adequate communication of company goals and priorities to full Fulfillment Center team, including leading monthly meetings to engage and inspire a diverse, growing workforce Drive continuous improvement when it comes to Safety, Quality, Cost, and Delivery.

As a Lab Technician for our Catalyst business unit, you will start a meaningful career and you will be responsible to Conduct quality control testing on products manufactured by the BASF Savannah site facility in accordance with documented analytical test procedures as directed by the Quality Supervisor.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana.

The Platform Consultant defines and drives architecture patterns, integration standards, and ecosystem strategy across AI platforms, security data, and tooling.

Associate Director, Reliability role at Bristol Myers Squibb.

Additionally, you will lead annual functional certification of site automated interlock checkout, support project engineers during the commissioning phase of capital projects involving automation and utilize your technical background and troubleshooting techniques to improve processes and product quality.

Whether you're looking to advance your Retail Manager career, refine your skills as a Key Holder, or grow into a Retail Management role, this opportunity offers room to thrive within the Skechers global brand.

• The Position The Opportunity As the Global Head of Biostatistics, you will provide strategic leadership and oversight across all Therapeutic Area (TA)-aligned Biostatistics teams, ensuring a cohesive and high-performing Biostatistics function that drives excellence in service of our strategy through study design, data analysis, and insights generation.

Job Our Opportunity Chewy’s newly formed Partner Fulfillment Technology team is building the data foundation that will power the next generation of vendor partnerships, delivery promise accuracy, inventory visibility, and operational reliability.

General of Available Benefits for Eligible Employees of Truist Financial Corporation All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.

Job Title Metrology Electronic Calibration Technician Reporting To Manager, Process Work Schedule Onsite – Torrance, CA Our team in Military Aircraft Group is looking for an experienced Electronic Calibration Technician with a background in complex electro-mechanical, hydraulic, servo, and electronic equipment.

Product Sheet Powerful Data Logistic Solutions for Health Plans Datavant supports health plans in making healthcare more accessible, effective, and affordable through smarter data exchange and interoperability solutions.

What you’ll do • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval • Work in a high-impact environment with quick experimentation and product launches • Keeping up with industry trends in recommendation systems What we’re looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) • Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience • Nice to have: • M.S. or PhD in Machine Learning or related areas • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Expertise in scalable realtime systems that process stream data • Passion for applied ML and the Pinterest product Relocation Statement: • This position is not eligible for relocation assistance.

We are seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

Staff ML Engineer role, you’ll be the technical lead shaping how Pinterest understands and improves its content as a living marketplace: a dynamic system with feedback loops between users, creators/publishers, distribution, and long-term business outcomes.

What we’re looking for • Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience. • 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking). • 2+ years of experience leading technical projects or teams. • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. • Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables. • Strong mathematical foundation and experience with statistical methods and A/B testing.

What you’ll do • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval • Work in a high-impact environment with quick experimentation and product launches • Keep up with industry trends in recommendation systems • Leverage LLMs to enhance content understanding What we’re looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) • Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems • Nice to have: • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Expertise in scalable realtime systems that process stream data • Passion for applied ML and the Pinterest product • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance.

What you'll do • Write production code in Python. • Design, launch, and analyze experiments to optimize ad campaigns. • Create reporting and analytics tools for the Data Science Team's customers. • Translate insights from reporting tools into tvScientific's Data Science Product.