Title: Senior Scientist, AI Computational Structural Biology Location: San Diego United States Job Description: Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Senior Scientist, AI Structural Biology When you join BMS, you are joining a diverse, high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.  We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. This is a unique opportunity to shape the next generation of AI-driven drug discovery at BMS, with direct impact on our induced proximity and targeted protein degradation programs. We are seeking a collaborative and highly innovative computational biologist with a strong background in AI co-folding modeling and deep understanding of protein structures to join our Predictive Structure and Function team. They will work alongside scientists in Protein Homeostasis, Computational Sciences, Oncology and other teams in the Informatics and Predictive Sciences (IPS) department to discover novel target opportunities leveraging protein-protein interactions and apply learnings to other small and large molecule modalities. Responsibilities: - Develop AI/ML models to predict structural biomolecular interactions for novel modalities leveraging protein-protein interactions. - Design innovative AI/ML approaches to predict protein cooperativity, affinity & other biological properties based on structures. - Develop co-folding models that incorporate structural and non-structural priors using combinations of public and proprietary BMS data. - Develop AI/ML models that leverage chemoproteomics data contributing to the generation of novel druggability hypotheses for hard-to-drug targets. - Author scientific reports, and present methods, results, and conclusions to publishable standard. - Contribute to the planning and execution of collaborative projects with leading academic and commercial research groups worldwide. Basic Qualifications: - Bachelor's Degree 7+ years of academic / industry experience Or Master's Degree 5+ years of academic / industry experience - Or PhD 2+ years of academic / industry experience Preferred Qualifications: - Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, Chemistry, or a closely related field, with a strong focus on AI/ML applications in drug discovery with 2+ years of post-doctoral experience in developing AI/ML approaches in university, pharma, or biotech settings, focusing on drug discovery. Requirements - Technical Skills & Experience: - AI/ML & Deep Learning: Proven experience developing and deploying AI/ML models in biological or biochemical contexts, with proficiency in deep learning architectures for structural data (GNNs, equivariant neural networks, transformers, diffusion, flow matching) using Python and relevant libraries (PyTorch, JAX, RDKit, ESM/fair-esm, Biopython, etc.). - Structural Biology and Co-folding: Deep expertise in protein-protein interactions, protein folding, and biomolecular complex formation, with hands-on experience in structure prediction and co-folding frameworks (e.g. AlphaFold2, AlphaFold-Multimer, RoseTTAFold2, Boltz, Chai-1, NeuraPlexer, or equivalent). Preferred Skills: - Multi-Omics Data Integration:Multi-Omics Data Integration:Multi-Omics Data Integration: Ability to integrate and analyze multimodal datasets-including structural, genomic, and proteomic data-from both public and proprietary sources, with experience developing algorithms to interpret genomics and proteomics data. - Chemoproteomics & induced proximity: Familiarity with chemoproteomics data for druggability and ligandability assessment is preferred. Experience with induced proximity modalities (for example, PROTACs, molecular glues, and bifunctional molecules) is appreciated but not required. Requirements - Scientific & Collaborative Skills: - Strong problem-solving mindset with the ability to design novel computational approaches for challenging biological questions. - Experience contributing to or leading collaborative research projects with academic and/or industry partners and ability to translate scientific findings into actionable drug discovery insights. - Self-motivated with strong organizational skills and the ability to manage multiple projects simultaneously. - Demonstrated ability to presenting complex methods and results to diverse scientific audiences and author high-quality scientific reports and publications to publishable standard. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Cambridge Crossing: $148,210 - $179,601 San Diego - CA - US: $141,770 - $171,794 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: - Health Coverage: Medical, pharmacy, dental, and vision care. - Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). - Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work-life benefits include: Paid Time Off - US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) - Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. - Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. R1603055 : Senior Scientist, AI Computational Structural Biology

Title: Agent Maestro Location East Bay, CA Employment Type Full time Location Type Hybrid Department Engineering Job Description: About Superconductor Superconductor is building the autonomous software organization — a platform where agents don't wait for instructions, but find work everywhere: in customer emails, bug reports, session replays, Slack threads, X posts, etc. Agents that work while you sleep. We're a team of 7, backed by $7M in funding, and we intend to stay below ~25 humans hopefully forever. That means every hire matters enormously, and we compensate accordingly with highly competitive salary and equity. We have been building software together for over a decade. We formerly co-founded Gradescope, an AI-powered education grading platform used by millions of students worldwide. Previously, we were AI PhD students at UC Berkeley. All in all, we are four developers, one designer, and two generalist operators, and we all wear multiple hats every day. Our Values - Customer obsession. We see every customer interaction — every support email, every bug report, every piece of feedback — as a chance to earn trust and build something better. Customer communication is our differentiator, not overhead. - Speed with stability. We move fast, but we do not break things. We know that if something breaks, we're the ones fixing it — sometimes at night. We'd rather invest in getting it right the first time. - Living in the future. We use Superconductor to build Superconductor. We adopt our own tools before anyone else and push them until they break. If something feels like the old way of building software, we question it. - Small team, high standards. Every person on the team has outsized impact, outsized ownership, and outsized responsibility. Working at Superconductor - Hybrid from our East Bay office: 3 days in our easily BART-accessible office, 2 days from home. - However, our agents work 24/7, and there's real value in having humans cover the night shift. If you are an exceptional candidate, please apply even if you're not in the Bay Area. - Compensation: Highly competitive salary and meaningful equity — we're a small team that plans to stay small. - Benefits: Flexible PTO, parental leave, health insurance, employee-friendly equity terms, and premium equipment. - And of course, a practically unlimited token budget! The Role You live and breathe AI agents. You've tried every coding agent harness, and you have strong opinions about what works and what doesn't. You spend your weekends experimenting with agent orchestration frameworks, MCP servers, and multi-agent workflows. We have less of a clear idea for what this role entails than for our other open roles. Things move so fast that the main attribute we’re looking for is raw intelligence, boundless energy, and an extreme eagerness to learn something new every day. In your first month, you might take Superconductor to #1 on Terminal-Bench. Or you might use our platform to rebuild a major piece of software in days. Or you’ll develop and evaluate a novel agent orchestration framework. Or you might build something else we haven't imagined yet — pitch us on it! What You'll Do - Build intelligent orchestration that assigns the right type of agent (PM, coder, QA, deployer) to the right task - Develop self-healing workflows that detect when agents are blocked, diagnose the issue, and either resolve it automatically or escalate to humans - Experiment relentlessly with new models, agent frameworks, prompting strategies, and tool-use patterns - Build evaluation and benchmarking systems, and make number go up on them - Produce high quality, clean, human-reviewable code — and review a lot more code than you write. You Are - Experienced building multi-agent systems or complex LLM-powered applications in production - Comfortable with all of Python, TypeScript, Ruby - A strong systems thinker who can reason about failure modes, edge cases, and graceful degradation - Self-directed and experimental — you don't wait for a roadmap, you build prototypes and demonstrate what's possible - 3+ years of professional engineering experience, with at least 1 year deeply focused on AI/LLM applications Bonus Points - You've built or contributed to an agent framework, MCP server, or agent evaluation benchmark - You've shipped a product where AI agents operate autonomously - Experience with Rails is a plus — our platform is built with it

Title: Applied AI Associate Location: Remote - West Virginia Job Description: Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: - Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. - Labeling elements of a piece of content rather than the content as a whole. - Assigning predefined categories or labels to items. - Evaluating the perceived quality and/or appropriateness of content - Generating labels to advance understanding of a concept, trend etc. - Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. - Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. - Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. - Ordering or ranking items based on a set of preferences or criteria. - Creating prompts or questions that will be used to generate responses from a language model or other AI system. - Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). - Generating responses to prompts or questions using a language model or other AI system. - Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. - Producing concise summaries of longer pieces of text or data. - Converting spoken language or audio content into written text. - Converting text or spoken language from one language to another. - Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: - A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) - Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process.

Role Description The Learning Designer, Technical/AI, is a full-time, India-based role responsible for the design and development of Coursera-produced content and for supporting Coursera’s APAC partners. This role focuses on learning design, prototyping, experimenting, and ensuring high-quality vendor production through clear standards and constructive review, primarily in the domains of AI/ML, Computer Science, Data Science, and related areas. You will play a key role in designing, prototyping, producing, and measuring the impact of innovative, scalable learning experiences. - Partner with subject-matter experts (SMEs), APAC partners, and production vendors to develop asynchronous, skill-aligned, online learning content. - Produce vendor-ready design deliverables. - Collaborate with cross-functional internal teams, including Teaching & Learning, Learning Analytics, Content Production Management, and Content Maintenance & Optimization. Qualifications - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical domain. - 3–5 years of combined experience in technical domains (e.g., Computer Science, Software Engineering, AI/ML) and/or designing, teaching, developing, or supporting technical learning experiences, curricula, or educational products. - Experience as a technical instructor, curriculum developer, subject matter expert, bootcamp educator, learning designer, or similar role supporting adult learners in higher education, professional education, or workforce development. - Demonstrated hands-on technical proficiency, including building, prototyping, or implementing software applications, AI solutions, agentic workflows, or other technology-enabled products. - Demonstrated experience leveraging GenAI technologies to solve real-world problems, improve workflows, develop educational experiences, or build AI-assisted tools and solutions. Requirements - Lead learning design for scaled Coursera-produced learning experiences (short- and long-form) with emphasis on modular, skill-aligned design and robust assessment design. - Partner with subject matter experts (including technical SMEs) to translate expertise into vendor-ready design deliverables, including learning outcomes, program architectures, outlines, storyboards, sequenced learning journeys, and assessment specifications. - Build replicable design systems, templates, and acceptance criteria to accelerate consistent production across vendors. - Collaborate on repackaging efforts: recombine modules and learning assets into new long-form offerings or program structures that align to skill outcomes. - Adhere to design standards; provide detailed, actionable feedback and Quality Assurance checks to production vendors and Coursera partners. - Contribute to pedagogical innovation, AI-assisted design tooling, prompts, templates, agentic workflows, and technology-enabled content development processes that improve quality, scalability, and operational efficiency. Preferred Qualifications - Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. - Demonstrated experience with modular, skill-aligned course design and assessment design. - Experience working with SMEs and external production vendors to translate designs into production deliverables. - Familiarity with authoring and design tools such as Figma, Articulate Storyline, or similar. - Familiarity with learning analytics, data-driven optimization practices, and analytics tools (e.g., Looker, Tableau); comfort with experimental design, SQL, and the Coursera platform is a plus. - Experience communicating with external partners (e.g., clients, universities, or enterprise stakeholders) to gather requirements, set expectations, and influence design decisions. Benefits