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Ice Miller is seeking a summer associate to join our Baltimore, MD office in our Litigation practice group. Ice Miller’s 10-week summer associate program includes Opportunities to develop direct working relationships with our attorneys to enhance your research, writing, and presentation skills, Guidance and mentoring from an associate and partner mentor, In-depth training focused on professional and substantive legal skills, Opportunities for client contact, Social events and team building activities, and Competitive compensation. In addition to excellent academic credentials, we seek summer associates who: Take leadership positions in their organizations, Volunteer in their communities, Challenge themselves in fast-paced, dynamic work environments, and Manage their time and projects diligently. All applicants must: Be enrolled in the J.D. class of 2028 at an accredited law school, Earned a minimum of an undergraduate degree, and Have permanent authorization to work in the United States . All applications must include (in PDF format): Resume, Cover letter outlining your interest in joining our Litigation practice group, Undergraduate transcript, and Unofficial law school transcript. Baltimore compensation for this role is $3,365 weekly. Please contact Legal Recruiting Manager Lauren Lemke at [email protected], if you have any questions. About Ice Miller Ice Miller LLP embraces a work environment that is collaborative, welcoming, and focused on growth. To maintain our culture, we are committed to building an inclusive workplace where talented attorneys from all backgrounds serve our clients, focus on professional development, and perform to their highest potential. Ice Miller is an Equal Opportunity Employer.

Position: Assistant Professor Printing Technology Department: Printing Technology Location: College Campus Key Responsibilities Deliver lectures and practical sessions in Printing Technology subjects. Prepare lesson plans, study materials, laboratory manuals, and assessments. Guide students in academic projects, internships, seminars, and industrial training. Conduct laboratory sessions and ensure the proper maintenance of printing equipment and laboratories. Evaluate student performance through assignments, practicals, and examinations. Participate in curriculum development, accreditation activities, and departmental administration. Encourage research, innovation, and collaboration with the printing and packaging industry. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: B.E./B.Tech and M.E./M.Tech in Printing Technology or a relevant specialization (Ph.D. preferred)

POSITION SUMMARY: The Medical Science Liaison (MSL), Rare Disease is a field-based scientific expert and a key scientific resource for clinicians, academic institutions, and professional organizations in the Rare Disease community. This individual builds relationships with Key Opinion Leaders (KOLs), leads scientific exchange on Natera's Rare Disease test, and brings field insights back to Rare Disease leadership. The MSL works closely with the Rare Disease Sales, Marketing, and Medical teams to help bring the test to more patients. This role operates with a high degree of autonomy and reports to the Director of MSLs, Rare Disease. PRIMARY RESPONSIBILITIES: Provide scientific and clinical presentations on Natera products, with a focus on Rare Disease, and respond to customer requests for information about marketed and developing products. Develop, maintain, and manage relationships with KOLs from the Rare Disease community and other relevant healthcare professionals. Capture field insights on clinical practice, unmet needs, and market dynamics, and share them with Rare Disease leadership. Serve as a medical and scientific resource for the Natera Sales and Marketing teams, and collaborate with Marketing to develop educational materials for healthcare providers and patients. Participate in clinical research, data analysis, and scientific writing. Work with PHI in paper and electronic form. Complete HIPAA/PHI privacy, general policy and procedure compliance, and security training within the first 30 days of hire, and keep Natera training requirements current. Performs other duties as assigned. QUALIFICATIONS: Master's degree required, or a doctorate (PharmD, PhD, MD/DO, DNP), in a clinical or scientific field with relevant knowledge of Rare Disease. Prior experience as an MSL or in another field-based role highly preferred. Experience with the introduction of new clinical laboratory tests preferred. Must pass a post-offer criminal background check. KNOWLEDGE, SK

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. At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency. Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment. You Will Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale. Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges. Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems. Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users. Work backward from user and product

Work Flexibility: Hybrid Stryker are delighted to be hiring talented Software Engineers for our “R&D Graduate Programme” – to begin in September 2027. Applications close: Friday 24th October 2026. Please ensure your CV includes your academic results or current trending results (if final results are not yet available). The “R&D Graduate Programme” is a 24-month structured graduate development programme in the R&D function. The programme rotates on a 6-month rotating assignment basis in order to learn and develop the basic knowledge and skills in the various engineering areas of expertise. The position rotates on a 6 monthly assignment basis: Design Advanced Operations / Research and Technology Development Advanced Quality Engineering Engineering Services (CAD/Prototype/Test Lab) What Are We Looking For? Dedicated achievers : People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations. Curious learners . People who seek out cutting-edge research and information to expand and enhance their ability to develop new ideas into reality. Collaborative partners . People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices. During each rotational assignment participants will be responsible for: Software: <

About the Team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI model, including GPT-Rosalind--our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the Role We’re looking for a Product Manager to shape Rosalind Workbench for life sciences. You will own product strategy and execution, working directly with researchers in academic labs, biotech, and pharma to understand where AI can meaningfully improve their work. You’ll partner with engineering, research, design, and customer-facing teams to turn emerging capabilities into intuitive products that scientists return to. This role calls for strong product judgment, depth in life sciences, and the ability to move from an ambiguous research problem to a focused, shippable experience. In this role, you will have the opportunity to define the future of AI guided scientific discovery and build the capabilities and tools that help advance the scientific frontier for researchers and help increase the accessibility of model intelligence for scientific use. This is a chance to shape

POSITION SUMMARY: The Medical Science Liaison – Hematological Cancer (MSL) serves as a key field-based scientific resource engaging clinicians, academic institutions, and professional organizations to support Natera’s oncology products. The MSL facilitates the exchange of scientific information, builds key relationships, and drives awareness of Natera’s evolving portfolio. Territory: South/South Eas t PRIMARY RESPONSIBILITIES: ● Provide scientific and/or clinical presentations on data that support Natera’s Oncology products in Hematological Cancers. ● Serve as a medical and scientific resource for the Natera US/International Sales, Marketing, Business Development and Bio Pharma teams. ● Establish, maintain, and manage relationships with Hematological Cancer Key Opinion Leaders (KOLs), Healthcare Providers, and Customers as pertains to Natera’s Oncology products and the field of Oncology. ● Collaborate with lab operations to provide additional healthcare provider information regarding Natera products. ● Represent Natera at various scientific and clinical congress meetings. ● Engage in continuous learning to maintain scientific and clinical expertise. ● Provides medical expertise for the creation of materials, communication tools, and publications to ensure medical accuracy. ● Support and coordinate ongoing clinical trial and research initiatives at academic institutions and study sites ● Travel extensively (over 60%) as required. ● Performs other duties as assigned QUALIFICATIONS: ● Health care professionals with relevant scientific knowledge and/or clinical training in hematologic oncology will be considered ● Advanced healthcare/scientific degree preferred (Ph.D., Pharm.D, M.D., D.N.P.), (Master’s degree required) ●

In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building. What you’ll do Drive activation, repeat usage, and paid conversion across web, mobile, and desktop. Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops. Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage. Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics. Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them. Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin. Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing. Qualifications 2–4 years of total work experience with a strong academic record. ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role. Fluent in SQL, comfortable with experiment design and statistical readouts. Comfo

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. As an Intern Product Yield Enhancement (PYE) Engineer at Micron Technology Inc., you will assist in taking next generation DRAM devices from design to mass production! PYE Engineers are crucial partners between Research and Development, Manufacturing, Product Engineering and Global Quality teams. Our goal is to offer hands-on and substantial engineering projects that allow interns to gain valuable experience with memory systems and the product life cycle while adding impact to Micron’s business. Our intern programs help prepare engineers for future roles and offer an extraordinary experience that supplements your academic experience! The PYE Engineering role is critical to Micron as it serves the company's charter to be the most cost-effective producer of DRAM memory while delivering the quality and reliability that customers expect from the Micron brand. This position is for a 3-month internship. Responsibilities: Your job duties will include detailed DRAM electrical and physical failure analysis. Identify defects introduced by the semiconductor fabrication process. You will data mine using statistical analysis, AI assisted engineering tools, and automation workflows. Find the root cause of failure mechanisms, communicating results with Management, Product, Process and Test Engineering teams. Complete 3-month internship. Minimum Qualifications: Must be pursuing a minimum of a bachelor’s degree in Electrical Engineering, Computer Engineering,

Dr Ashwani Kumar Vij have been retained to Select one Dean - Academics / Education by a Uttar Pradesh ( UP ) based Engineering, Technology and Management Institute in August, 2026 Person should have an Engineering / MBA background from IIT / IIM or Top 25 Premium University / Institute, along with PhD and possess experience in an academic, administrative and leadership role. He should have a minimum of 15 years of teaching, research and consultancy experience with at least 5/10 years at Dean / HOD in Higher Education Sector University / Institute / College. In the exceptional case, Top / Director / GM / Senior Management level Professionals from the Corporate Sector / Public sector undertaking can be considered. He should have published research papers at National and International levels. He should be able to lead and meet the Institute programme objectives. Preferred Age desired is between 45 to 55 Years. Those Drawing CTC of Less than Rs 18 LPA are less Likely to be considered. Higher Salary Package would be offered to the experienced Higher Education Sector Professional having IIT / IIM / Top 10 MBA / Engineering / Technology Education Background. Those who have applied earlier need not apply again. Excellent Salary Package would be offered to the right candidate. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Delhi/NCR and Metro Based Candidates : Please Courier / Speed Post Hardcopy of your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Hard Copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details and address to: Mrs Savita Vij - Manager And also Email Your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Scanned copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details at :

Location: In-Person (New York, NY) Compensation: $18.00 – $20.00 / hour Commitment: 30-40 hours/week, with a transition to part-time during the academic year. Position Overview At Eulerity, we are building the future of AI-driven marketing automation. To scale our technology, we need to scale our team with top-tier talent. We are looking for a highly analytical, deeply curious intern with a true builder mentality to join us in our New York office. This is not a traditional internship. This role is designed as a training ground for future Product Managers. You will treat our recruiting pipeline and internal operations like a product—analyzing the data, identifying bottlenecks, testing solutions, and optimizing the "user" (candidate) experience. You will work closely with leadership to recruit the best talent while learning how to build, ship, and scale processes from the ground up. What You Will Build & Manage 1. Talent Sourcing & Recruiting Pipeline Hunt for Talent: Proactively source passive candidates across technical and business roles using LinkedIn Recruiter and alternative networks. Manage the "User Journey": Treat the candidate experience like a product flow. Coordinate interviews, manage our Applicant Tracking System (ATS), and ensure every touchpoint is seamless and reflects Eulerity's brand. 2. Analytics & Process Optimization Funnel Analysis: Track key recruiting metrics (time-to-hire, drop-off rates, source effectiveness) to figure out where our hiring process is succeeding or failing. Data-Driven Solutions: Build dashboards and reports to present to leadership, using data to advocate for changes in how we evaluate, interview, and close candidates. Market Intelligence: Conduct competitive research on compensation, benefits, and market trends to ensure our offers remain highly competitive. Who You Are The Builder Mentality: You do not wait to be told what to do. You see broken processes and immediately want to design a system to fix the

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. Support deployment and monitoring of search and ranking models in a scalable and performant way. Help build and iterate on RAG pipelines for grounding and answer generation. Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment Experience with Rust will be a plus

Location: Remote with ~40% domestic and international travel Shape the future of cancer care as a Medical Director, Skin/IO at Natera. In this strategic leadership role, you will provide medical expertise and scientific leadership across Natera’s oncology portfolio, with a focus on melanoma, cutaneous malignancies, and immunotherapy applications across solid tumors. You will collaborate with cross-functional teams in research, development, medical affairs, and commercial functions to ensure the scientific integrity and clinical adoption of Natera’s oncology testing solutions. Primary Responsibilities: Clinical Adoption: Lead the clinical strategy and evidence generation for melanoma, non-melanoma skin cancers, and pan-tumor immunotherapy indications. Partner closely with clinical development, medical affairs, and commercial teams to translate emerging evidence into meaningful clinical practice applications. Collaborate with key opinion leaders (KOLs), cooperative groups, and academic investigators to validate and expand clinical use cases for ctDNA-based diagnostics in immuno-oncology. Provide field-facing education and strategic guidance to healthcare providers, payers, and advocacy organizations on clinical utility, interpretation, and impact of MRD and response monitoring in immune-treated populations. Identify and address barriers to adoption by aligning evidence generation, messaging, and stakeholder engagement with evolving standards of care and health system needs. Medical Education and Communication: Serve as the medical and scientific spokesperson for skin and immuno-oncology programs, communicating clinical utility, study data, and product value to external experts and stakeholders. Partner with commercial teams to develop educational resources, medical content, and scientific training for healthcare providers and internal teams. Provide scientific leadership during advisory boards, symposia, and investigator meetings. Representation and Advocacy: Re

Ice Miller is seeking summer associates to join our New York office in the private equity, M&A and leveraged finance practices. Ice Miller’s summer associate program includes: Opportunities to develop direct working relationships with our attorneys to enhance your research, writing, and presentation skills, Staffing on active transactions, Guidance, mentoring, and regular feedback, In-depth training focused on professional and substantive legal skills, Opportunities for client contact, Social events and team building activities, and Competitive compensation. In addition to excellent academic credentials, we seek summer associates who: Excel in a team environment, Demonstrate leadership skills, Have prior work experience, including legal, military, or service industry experience, Are curious, motivated, and thrive in fast-paced, dynamic work environments, Manage their time and their projects diligently, and Have prior experiences that prepare them to work with attorneys, staff, and clients from cultures and backgrounds different from their own. All applicants must: Have permanent authorization to work in the United States, Have obtained an undergraduate degree and are enrolled in the JD class of 2028 at an accredited law school, and In New York, we only hire students for our transactional practice and who have undergraduate degrees in business, finance, accounting, entrepreneurship, or economics. All applications must include (in PDF format): Resume, including related business undergraduate major, Cover letter outlining desire to join transactional practice, Undergraduate transcript, and Unofficial law school transcript. New York compensation for this role is $4,134 weekly. Please contact Legal Recruiting Manager Lauren Lemke at [email protected], if you have any questions. About Ice Miller Ice Miller LLP embraces a work environment that is collaborative, welcoming, and focused on growth. To maintain

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. Support deployment and monitoring of search and ranking models in a scalable and performant way. Help build and iterate on RAG pipelines for grounding and answer generation. Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment Experience with Rust will be a plus What we're looking for: You’ve built something you’re proud of: Not just a class assignment - we want to see a project y