Representative Jobs

OVERVIEW The Medical Coder is responsible for centralized medical coding activities and serious adverse event (SAE) reconciliation, serving as the lead coding resource for assigned clinical trials. This role ensures the accuracy and compliance of coding practices, maintains Medical Coding Guidelines and SAE Plans, and supports the reconciliation of serious adverse events. KEY TASKS & RESPONSIBILITIES ➢ Design and maintain Medical Coding Guidelines and Serious Adverse Event reconciliation plans in collaboration with sponsors ➢ Perform precise and consistent medical coding following coding guidelines and utilizing MedDRA and WHODrug dictionaries ➢ Conduct reviews for coding accuracy and consistency reviews including the approval of coded terms and synonym lists ➢ Perform serious adverse event reconciliation across clinical trial databases, safety systems and other relevant sources ➢ Generate coding/SAE queries as necessary ➢ Collaborate with safety, clinical, and data management teams to resolve discrepancies and ensure accurate representation of medical coding and safety information ➢ Document coding decisions and justifications for clarity and auditability ➢Assist in maintenance activities for coding tools, including User Acceptance Testing (UAT) script creation and execution ➢ Participate in the completion of MedDRA and WHODrug dictionary up versioning workflow activities in alignment with medical coding guidelines ➢ Perform testing of coding tool and deployment of coding/SAE listings in elluminate® ➢ Ensure compliance with eClinical Solutions and industry quality standards, regulations, guidelines, and procedures ➢ Other duties as assigned Education & Experience ➢ Bachelor’s degree in relevant health science or professional qualification in a relevant scientific/technical discipline preferred ➢ 5+ years’ experience in the Pharmaceutical/Biotechnology industry with medical coding experience us

Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available. Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. Build and optimize RAG pipelines for grounding and answer generation. Qualifications Understanding of search and retrieval systems, including quality evaluation principles and metrics. Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models. Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation. Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).

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

DR ASHWANI KUMAR VIJ : have been retained by a Professionally managed and fast growing Organisation marketing a wide range of Sophisticated Health, Fitness and Sports Equipment on National Level to select 1 Business Head-Sales and Marketing. Job Description / Experience / Qualification Desired : MBA From Premium Institute Background is required. -10-12 Year of relevant experience, preferably with sales and marketing of high value Health and Fitness Products / Electronics and Consumer Durables / Office Automation Products and Systems. -The main objective of the role is to liaison with existing business units to consistently deliver sales target. -The role directly reports to the Director/CEO of the company and will be involved in key strategic decisions for the brand including global expansion, domestic revenue streams, and overall business strategy. -The role entails constant coordination and representation in the Indian as well as overseas markets. We are looking for a hands-on person who is willing to look beyond a customary desk. Key Result Areas ( KRA) - · Directly oversee existing business units across · Execute (along with team) sales/revenue streams · Act in an advisory capacity to parallel revenue streams · Build and Maintain sales team by recruiting, selecting, orienting, and training employees. · Maintain sales team job results by counseling and disciplining employees; planning, monitoring, and appraising job results Excellent Salary Package would be offered to the right candidate. Age Desired Between 30 to 35 Years. Result oriented Female Professionals having relevant Sales, Marketing and Business Development experience can be considered in exceptional cases. Those who have applied earlier need not apply again please. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete/Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at:

The Recruiting team is responsible for growing our teams at Datadog with great people across multiple technical and business areas. Our recruiters are strategic business partners, matchmakers, sellers, and marketers with strong relationships across the leadership team. As part of our Global Emerging Talent Team, you'll help build the pipeline that fuels Datadog's future, owning the full candidate journey for our interns, new grads, and early career hires across EMEA. We're evolving how we do Emerging Talent recruiting. In 2026 and beyond, this isn't just about filling a calendar of campus events. It's about building a predictable, high-quality pipeline, delivering a candidate experience people talk about, driving representation at the entry level, using data to make sharper decisions, and taking smart risks to keep improving how we do all of it. This role is central to that shift. At Datadog, we place value in our office culture. The relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace (3 days/week in our Paris office) to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own the pipeline and candidate experience Own the end-to-end candidate lifecycle for assigned schools, functions, or programs across EMEA, from sourcing and screening through offer and conversion, Deliver a high-touch, consistent candidate experience across every touchpoint: outreach, interviews, events, internship hosting, and offer Maintain funnel momentum, diagnose issues early, and unblock your pipeline weekly Be a brand ambassador Represent Datadog as a premier employer for emerging talent across university campuses and virtual channels in EMEA Own key university and student organization relationships; act as the face of Datadog on campus Plan and execute recruiting events, career fairs, hackathons, info sessions, and "beyond campus" engagements that create real excitement, not just chec

Principal Consultant – Semantic Data & AI Engineering Capco | Data & Analytics | New York, NY About the Role Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications. You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery. What You’ll Do Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products. Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models. Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms. Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents. Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction. Combine graph traversal, vector search, metadata, rules

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In the Technology Development — Advanced Modeling & AI Solutions (AMAIS) organization, you will be part of a multidisciplinary team developing next-generation Digital Twins, predictive modeling solutions, and AI-driven technologies that accelerate advanced memory development and manufacturing excellence. You will create predictive digital representations of semiconductor processes, materials, structures, equipment, and products across DRAM, NAND, and advanced packaging technologies including HBM. Leveraging physics-based modeling, computational methods, machine learning, GenAI, large language models (LLMs), and agentic AI frameworks, you will enable technology co-optimization, design-space exploration, process optimization, yield improvement, and accelerated technology learning. Working at the intersection of engineering fundamentals, manufacturing data, and digital engineering, you will develop scalable predictive and prescriptive solutions that connect process, structure, performance, yield, reliability, and cost. This role offers the opportunity to influence critical technology decisions, drive fab-technology co-optimization , and advance Micron's leadership in data-driven semiconductor memory innovation. Qualifications: Independence – be comfortable executing activities and needs Experience in algorithm development, numerical methods, and scientific computing Solid experience with Plasma, FPM, HAR etching, and MC modeling Experience with Wet Pr

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies. Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks. Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms. Lead efforts on data ingestion and export processes, improving efficiency and reducing dependencies on legacy technologies. Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management. Champion continuous improvement efforts, including cost control measures and technological upgrades. Oversee the development of internal tools that streamline workflows and reduce duplication of effort in development environments. Ensure the platform meets rigorous testing and security stand

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a Staff Software Engineer to take ownership of our advanced search, indexing, and data scanning infrastructure as we scale to the next echelon of data volume. Our retrieval stack is robust and proven, but as our ingest sizes push into the multi-petabyte range, the complexity of balancing speed, availability, and cost increases exponentially. You will own this constellation of scaling challenges. Your mission is to continuously optimize and evolve our systems—ensuring our hot indexes maintain sub-second latency for interactive workflows, while simultaneously designing highly concurrent, cost-effective architectures for deep scanning and vectorizing massive volumes of cold-storage data. You will lead the design and implementation of sophisticated data tiering and retrieval strategies that keep our platform operating at peak performance without inflating cloud compute costs. Responsibilities Scale the Retrieval Stack: Lead the optimization and architectural evolution of our existing hybrid search infrastructure, maximizing the throughput and efficiency of both lexical search (e.g., Elasticsearch, Lucene) and dense vector databases. Advanced Data Tiering & Scanning: Design and implement intelligent, cost-effective tiering strategies across hot, warm, and cold data states. Evolve our distributed pipelines to efficiently exec

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role With our growing client-base and increasingly rapid product development, our need for clear, accurate, and frequent communication to our clients and internal stakeholders is greater than ever. Our training & enablement, customer success, marketing, account management, and sales teams, in addition to clients, will all consume documentation on our product. Responsibilities Own the organization of documentation Create documentation Author internal and client-facing documentation on how to use Syllo at each and every stage of the litigation journey Author client-facing documentation on new, complex features Author quick-turnaround questions from clients about our product Edit release notes so that they’re most useful for our clients Qualifications Ability to keep organized and as needed restructure a growing documentation library. The ability to write in a way that doesn’t simply spell out standard UI clicks, but bridges complex legal workflows with the product’s capabilities. A thirst for learning all resources available for acquiring answers to even the most complex and/or technical of questions. The ability to write distinct internal guides for solutions architects, customer success, and training & enablement and external, client-facing guides tailored to distinct user personas: litigators, paralegals, eDiscov

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role As we continue to scale our AI platform, we're investing in our own inference stack to deliver best-in-class performance, reliability, cost efficiency, and flexibility across the latest generation of open-source language models. We're looking for a Staff Software Engineer to spearhead this effort. You'll define the architecture, evaluate emerging technologies, and build the systems that power model serving. You'll partner closely with machine learning, infrastructure, and product engineering to establish the foundation for how AI models are deployed, optimized, monitored, and operated in production. This is a highly hands-on technical role. You'll spend the majority of your time designing, building, and optimizing production systems while helping shape our long-term AI infrastructure strategy. Responsibilities Lead the design and development of our production inference platform. Define the technical roadmap for inference infrastructure, model serving, and runtime optimization. Build and operate scalable, cost-effective systems for serving large language models in production. Evaluate and integrate modern inference technologies, frameworks, and serving runtimes. Optimize latency, throughput, GPU utilization, memory efficiency, and infrastructure cost. Develop systems for model deployment, traffic routing, autoscaling, scheduling, observabil

About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We’re looking for a Data Security Compliance Director who will own the compliance-side and business operations related to Company’s data security function. About the role Syllo is a legal technology company building infrastructure that law firms and legal teams trust with sensitive data. Compliance isn't a checkbox here, it's a product feature. We're looking for a Data Security Compliance Director to own our certification programs, manage vendor security relationships and processes, own the accurate and timely completion of our security disclosures in the sales context, and keep our posture audit-ready year-round. This role sits at the intersection of compliance and engineering. While this role does not own the security of our technical stack from an engineering perspective, you will work directly with technical teams to implement controls, close evidence gaps, and translate technical postures and requirements into concrete and well communicated action. Responsibilities - ISO 27001. Maintain and continuously improve our Information Security Management System. Manage internal audits, corrective actions, and annual surveillance cycles through Vanta. - SOC 2 Type II. Coordinate evidence collection, liaise with external auditors, and drive remediation across engineering and operations. - Vendor security. Lead vendor security assessments, manage VSQ responses (inbound and outbound), and maintain a tiered

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma’s intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users. What You Will Be Doing Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions throughout the team and company Qualifications We Need 5+ years experience engineering high-quality software systems Demonstrated success building and maintaining complex infrastructure or core platform services Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization Passion for teamwork, technical ownership, and continually

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma’s intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users. What You Will Be Doing Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions throughout the team and company Qualifications We Need 5+ years experience engineering high-quality software systems Demonstrated success building and maintaining complex infrastructure or core platform services Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization Passion for teamwork, technical ownership, and continually

Team: Apollo — Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op — 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the followin