The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning. As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target mobile app. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About you: - 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience - MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience - 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design - Highly proficient programming in Python - Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX - Extensive experience with one or more cloud ML services such as Vertex AI, Azure ML or Sagemaker - Experience using distributed training frameworks like Spark/Ray/TensorFlow Distributed - Experience with serving frameworks such as TorchServe, TensorFlow Serving or FastAPI - Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark - Experience creating and maintaining CI/CD pipelines for automated model deployment and testing - Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale - Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives - Self-driven and results oriented; able to meet tight timelines - Motivated, team player with ability to collaborate effectively across global team - Experience in mentoring the junior team members ML skillset and career development Bonus Points: - PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field - Proficiency in Java This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.   Application deadline is : 04/23/2026

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals - Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems - Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. - Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions - Improve system performance across latency, throughput, and model quality metrics - Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment - Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications - 3-5+ years of experience building, deploying, and operating machine learning systems in production - Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals - ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) - Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) - Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure - Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions - Experience improving measurable metrics through applied machine learning Preferred Qualifications - Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems - Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) - Experience working with real-time systems and low-latency production environments - Background in feature engineering, model optimization, and production monitoring - Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale - Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams - Ads Measurement Modeling - Ads Targeting and Retrieval - Advertiser Optimization - Ads Marketplace Quality - Ads Creative Effectiveness - Ads Foundational Representations - Ads Content Understanding - Ads Ranking - Feed Relevance - Search and Answers Relevance - ML Understanding - Notifications Relevance Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave #LI-DNI Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $185,800—$303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: - Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, - Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and - Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health. Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer. We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: - Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. - Develop and maintain backend services using Python, focusing on AI-driven applications. - Design and implement APIs for seamless integration with AI models and services. - Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development - Participate in code reviews, testing, and quality assurance processes. - Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. - Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. - Document and communicate development processes and implementation details with peers and supervisors - Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. - 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. - Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. - Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. - Proficiency in Python and familiarity with ML libraries such as PyTorch. - Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. - Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. - The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. - Good written communication skills that enable collaboration in a remote environment. Salary Range $1,200,000—$1,500,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.

• Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines • Build and prototype new internal products from scratch that leverage LLMs and Agentic AI • Design and implement ML models that provide real-time recommendations • Develop the backend between custom quoting engine, Salesforce, and internal data lakes • Act as a domain expert to solve complex synchronization and architectural challenges • Drive engineering excellence through code reviews and automated testing • Deliver significant core capabilities that have broad impact • Anticipate shifts in product needs and build flexible backend systems • Ensure the reliability of GTM tools