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Job Description NCE is seeking an experienced and driven Senior Cultural Resources Specialist to join our Environmental Practice and lead NCE’s established Cultural Resources Management (CRM) service line. This position is part of an actively growing group of environmental professionals delivering interdisciplinary projects across California and Nevada. The position will be in either NCE’s Sacramento or Point Richmond office. The position will be responsible for expanding NCE’s CRM capabilities across our geographic markets; managing and supporting the existing CRM team throughout the firm, including staff in Northern Nevada and Northern California; and defining service line goals and objectives moving forward. While the role requires broad CRM leadership, the ideal candidate brings strong Northern California CRM experience, with particular technical depth in California and Bay Area pre‑contact archaeology, to complement and strengthen the existing team of archaeologists and architectural historians. Daily responsibilities will include identifying and winning work with new and existing clients, managing and delivering complex projects, and mentoring and leading technical teams. Required technical capabilities include proficiency leading complex regulatory compliance efforts under Section 106, California Environmental Quality Act (CEQA), and the Caltrans Standard Environmental Reference (SER), as well as leading and advising clients during tribal consultation. The ideal candidate will also possess strong communication and interpersonal skills and a proactive approach to effectively support staff, project, and workload management. Success in this role also requires the ability to identify projects that are a strong fit for the technical team, leverage existing client relationships, and establish new connections through active business development and marketing (as aided by NCE’s broader Environmental and Engineering practices). Required Responsibilities: • Lead NCE’s CRM service line, • Manage and coordinate all CRM work, including archaeology and architectural history services, • Strong understanding of the Caltrans, Standard Environmental Reference (SER), • Provide technical leadership and oversight, with an emphasis on archaeological technical studies, • Possess strong Bay Area and California pre‑contact archaeological knowledge and experience, • Guide archaeological field efforts, including survey design, site recordation, and evaluation, as well as subsurface archaeological investigations, • Oversee and support CRM compliance efforts under Section 106 and CEQA, • Significant experience with Native American consultation, especially under AB-52 of the CEQA, • Collaborate closely with engineering and environmental leads on integrated project pursuits, • Develop and review prehistoric and historic contexts tailored to project needs, • Lead and/or provide strategic direction to staff during tribal consultation, • Develop or review/approve cultural resource evaluations using National Register and California Register criteria, • Develop and defend findings and determinations of effect, • Proficiency developing California DPR 523 forms, • Manage and delegate work to staff with clearly defined scopes, budgets, and schedules, • Mentor and support archaeologists and architectural historians within the CRM team, • Identify workload trends, staffing needs, and training priorities to support service line growth, • Actively identify, pursue, and win CRM opportunities, in California and Northern Nevada Qualifications (Must Have): • MS, MA, or PhD in Anthropology or Archaeology, • Minimum 12 years of professional CRM experience, • Secretary of the Interior qualified Archaeologist, • Experience managing staff and overseeing multiple concurrent CRM projects, • Proven seller‑doer capabilities, including pursuit support or direct client development, • Ability to work out of NCE’s Sacramento or Point Richmond offices, • Willingness to travel to Reno as needed Qualifications (Nice to Have): • 15-20+ years of CRM experience, • CRM experience in Southern California, • BLM permitted Statewide in Nevada and/California as a Principal Investigator in historic and/or prehistoric areas, • Experience managing on‑call CRM contracts for public agencies, • Existing client relationships that support CRM pursuits Salary Range: $135,000 to $160,000 annually, depending on experience.

Job DescriptionAI Engineer AI Engineer Company Overview We are a healthcare technology company located in the Davis, CA area. We have proudly been in business for over 25 years and have built some of the most innovative technology in the healthcare industry. We are very passionate about improving healthcare and saving lives across the country! Position Overview We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems that leverage large language models, retrieval-augmented generation (RAG), and modern vector databases. The ideal candidate will combine strong software engineering discipline with hands-on experience in LLMs, LangChain, Microsoft Agent frameworks, and scalable search and vector storage solutions such as ChromaDB and Pinecone. You will work cross-functionally to turn research and prototypes into reliable, maintainable services that deliver measurable business value. Key Responsibilities • Design, implement, and maintain end-to-end AI solutions that incorporate LLMs, RAG architectures, and conversational agents., • Develop and extend LangChain-based pipelines and Microsoft Agent integrations to enable multi-turn, context-aware interactions., • Integrate and manage vector databases (ChromaDB, Pinecone) and Azure AI Search to support efficient retrieval and similarity search workflows., • Build robust prompt engineering, context management, and grounding strategies to improve accuracy and reliability of generated outputs., • Implement model evaluation, monitoring, and logging to track performance, latency, hallucination rates, and user feedback in production., • Collaborate with product managers, data scientists, and software engineers to translate business requirements into scalable technical designs., • Write clean, well-tested Python code, APIs, and microservices; participate in code reviews and maintain CI/CD pipelines., • Optimize inference cost and latency through model selection, caching, batching, and infrastructure tuning (including Azure deployments)., • Research and prototype new models, tools, and techniques to continuously improve system capabilities and user experience., • Document system design, runbooks, and operation procedures; provide support during incidents and production rollouts. Qualifications • Bachelors or Masters degree in Computer Science, Engineering, or a related field (or equivalent experience)., • 3+ years of professional software engineering experience, with a minimum of 2 years focused on machine learning or AI systems., • Proven expertise in Python and production software development best practices (testing, CI/CD, version control)., • Hands-on experience with LLMs and building applications around them (prompting, fine-tuning, instruction tuning, or adapters)., • Practical experience with LangChain and building composable LLM pipelines and agents., • Experience implementing RAG systems and connecting LLMs to external knowledge via retrieval., • Familiarity with Microsoft Agent frameworks and integrating conversational agents into products., • Hands-on experience with vector databases or stores such as ChromaDB and Pinecone., • Experience integrating and tuning Azure AI Search or equivalent cloud search services; comfort working in Azure., • Knowledge of ML/DL frameworks such as PyTorch or TensorFlow, and model deployment tools., • Strong understanding of API design, microservices, containerization (Docker), and orchestration (Kubernetes preferred)., • Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly to cross-functional teams., • Nice to have: contributions to open-source projects, prior experience in productionizing LLMs at scale, or advanced degree (MS/PhD). Benefits • Medical, • Dental, • Vision, • 401k w 4% match, • PTO, • Hybrid flex - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 07/23/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements. Salary $140000 - $200000 USD per year #ENGT2

Job DescriptionStructural Integrity Associates, Inc. (SIA) is looking for a motivated Civil/Structural Senior Engineer to join our Critical Infrastructure Solutions team in our Sacramento, CA office. Remote or other office locations (Atlanta, GA, Denver, CO, San Diego, or San Jose, CA) may be considered. The Senior Engineer will provide structural engineering consulting services on advanced analysis and design projects under the supervision of senior management. The Senior Engineer will manage medium-sized projects and provide support to other project managers and engineers. Typical assignments involve 3D modeling and engineering design and analysis of various industrial building and non-building structures and nonstructural components. The company operates in a variety of industries including design and maintenance of civil infrastructure, nuclear power, healthcare, dams and waterways, transportation, defense, pressure vessels and piping, and mechanical and electrical equipment. Primary Responsibilities: • Perform structural engineering analysis and design of steel and concrete structures, stress analysis of piping and components, and seismic qualification of mechanical equipment, using finite element analysis software or hand calculations, • Prepare technical reports and calculation documents, • Execute complex structural engineering tasks, • Plan, schedule, conduct, and coordinate projects of small to moderate scope with limited oversight, • Delegate tasks to other engineers, • Review calculations and analyses from other engineers, • Provide oversight and act as a resource for engineering staff working on managed projects, • Develop positive client relationships, • Represent the company, often as the sole SIA attendee at project meetings, • Implement SIA’s policies on safety and quality control Required Skills/Qualifications: • MS in Civil or Structural engineering from an ABET-accredited university, • 5 to 9 years of relevant professional experience, • Professional Engineer (PE) license, • Experience in solid mechanics, steel, concrete, seismic design/analysis, advanced structural analysis, structural dynamics, and use of advanced finite element analysis software platforms, • Knowledge of standard building and material codes (e.g. ASCE 7, IBC, AISC, ACI, AISI, etc.), • Proficiency in structural engineering or finite element analysis programs (e.g. ANSYS, ABAQUS, SAP2000, LS-DYNA, Matlab, and/or Mathcad), • Excellent written and oral communication skills Desired Skills/Qualifications: • PhD in Structural engineering, • Project management experience, • Experience in drafting modeling software (e.g. AutoCAD/Revit, SolidWorks, or other 3D modeling software), • Knowledge of industry standards and code (e.g. ICC-ES AC156, IEEE 693, ASCE 41, etc.), • Advanced education or experience in engineering mechanics, heat transfer, fluid dynamics, blast, shock, and impact analysis Pay Range: The expected salary range for this role is $88,800 to $111,000 in Sacramento, CA; $80,480 to $100,600 in Atlanta, GA; $86,720 to $108,400 in Denver, CO; $86,480 to $108,100 in San Diego, CA; and $101,760 to $127,200 in San Jose, CA. Exact pay will be commensurate with experience and location. Export Control Notice: Certain positions at SIA may require access to information and technology which is subject to Export Administration Regulations 15 CFR 730-774, including those of the US Department of Energy (DOE) in 10 CFR 810 and Nuclear Regulatory Commission (NRC) 10 CFR Part 110. Hiring decisions for such positions must comply with these regulations and may result in SIA limiting its consideration of foreign nationals who are citizens of countries that are not on the DOE’s Generally Authorized Destinations List: https://www.ecfr.gov/current/title-10/chapter-III/part-810/appendix-Appendix%20A%20to%20Part%20810. About Us: SIA is an engineering consulting firm serving various industries including Nuclear Power, Energy Services, Pipeline Integrity, and Critical Infrastructure. Join a team of internationally recognized experts in a culture based on knowledge, excellence, and respect for one another. Our employees are members of a distinct community of internationally respected professionals committed to quality, engineering innovation and a shared goal of building a safer world. Why Work at SIA? SIA offers a competitive salary and performance-based bonus program. Our retirement benefits include a Traditional 401k, Roth 401k, and an employer match. To help employees maintain a work-life balance, SIA also offers various paid time off including vacation, floating holidays, sick time, and parental leave. Our employees also enjoy a comprehensive benefits program that includes the following: • Medical, dental, and vision insurance, • Life Insurance and AD&D, • Short-term and long-term disability, • Health Savings Account with employer contribution, • Flexible Spending Account for health care and dependent care, • ID theft protection and credit monitoringStructural Integrity Associates, Inc. is an equal opportunity employer. www.structint.com SIA does not welcome third-party recruiters, employment agencies, headhunters, etc. Please do not reach out to SIA employees requesting a call, sit down, meeting, or email response. Candidate information may be verified during the hiring process. Inaccurate, deceptive, or mass-generated applications may be disqualified from consideration. Powered by JazzHR 8h9fzw1beU

Job Description More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a commercial-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives. We have built a state-of-the-art, 100,000-square-foot manufacturing facility in Sacramento, CA (7910 Metro Air Pkwy) to ensure the consistent and reliable delivery of our high-precision cell therapy products. This site is essential to advancing our clinical pipeline and supporting future commercial availability of our life-saving therapies. The Engineer, Packaging and Labeling is responsible for the lifecycle management of Final Drug Product, packaging systems, labeling components, cold chain packaging equipment, and cryopreservation equipment supporting the manufacture and distribution of commercial cell therapy products. This role ensures packaging and labeling systems comply with GMP, regulatory, and patient-specific requirements while maintaining product integrity throughout manufacturing, cryogenic storage, transportation, and delivery. The position serves as the technical owner for printed packaging components, artwork implementation, packaging specifications, cold chain packaging systems, cryopreservation equipment, and associated manufacturing documentation. Physical Demands & Work Conditions • Production Associates: Must have visual acuity of 20/20 (corrected or uncorrected) and normal color vision to safely perform critical tasks such as visual inspection of materials, equipment, and labeling, including distinguishing color-coded components in a GMP environment., • Must meet cleanroom gowning requirements, including wearing full gowning (face coverings, gloves, hoods, goggles) for up to 3 consecutive hours at a time, minimal movement in the cleanroom, and working with or around human blood, blood-derived materials, cells, other biological materials, and alcohol-based sprays. Use of cosmetics (makeup, painted nails), jewelry, or facial piercings is not permitted in the cleanroom, and any skin conditions that cause shedding must be disclosed., • Must be comfortable regularly participating in video-based meetings.Essential Duties & Key Responsibilities: Packaging Engineering • Serve as technical owner for primary, secondary, and tertiary packaging systems used for commercial cell therapy products., • Design, develop, qualify, and maintain packaging configurations for cryopreserved drug products., • Develop packaging solutions that protect product quality throughout manufacturing, storage, shipping, and administration., • Evaluate new packaging technologies and recommend improvements to increase robustness, efficiency, and cost effectiveness., • Support lifecycle management of packaging systems from development through commercial manufacturing. Patient-Centric Delivery Execution Cold Chain Packaging Systems • Own the technical performance of cold chain shipping systems including:, • Cryogenic dry shippers, • Refrigerated transport systems, • Temperature monitoring devices, • Data loggers, • Qualified insulated shipping containers, • Develop packaging qualification protocols including Operational Qualification (OQ) and Performance Qualification (PQ)., • Support thermal mapping, shipping validation, lane qualification, and transportation studies., • Analyze shipping performance data and implement corrective actions when necessary. Cryopreservation Equipment • Serve as technical owner for cryopreservation equipment including:, • Controlled-rate freezers, • Liquid nitrogen storage systems, • Cryogenic storage vessels, • Freezer racks and storage accessories, • Temperature monitoring systems, • Support equipment qualification, preventive maintenance strategies, and lifecycle management., • Partner with Engineering and Validation to commission and qualify new cryogenic equipment., • Investigate equipment-related deviations and implement engineering improvements. Labeling and Packaging Components • Manage the technical lifecycle of printed packaging components including:, • Patient-specific labels, • Product labels, • Cartons, • Instructions for Use (IFUs), • Package inserts, • Shipping labels, • Cryogenic labels, • Ancillary labeling components, • Own component specifications and ensure compliance with GMP and regulatory requirements., • Develop and maintain packaging component drawings and technical specifications., • Support supplier qualification and ongoing supplier technical oversight. Artwork Management • Serve as engineering representative for artwork implementation., • Review artwork changes for manufacturability and packaging compatibility., • Support change control activities associated with labeling and printed packaging., • Verify artwork aligns with packaging specifications and manufacturing processes., • Collaborate with Regulatory Affairs and Quality to implement approved labeling updates.Minimum Qualifications:, • Bachelor’s degree in Life Sciences, Engineering, or related field (required), • Advanced degree (MS, MBA, or PhD) preferred, • 2+ years of experience in biopharmaceutical manufacturing, with a strong preference for cell or gene therapy, packaging operations and / or cold chain management, • Knowledge of cGMP regulations and regulatory expectations, • Background in lean manufacturing and operational excellence methodologiesPreferred Qualifications:, • Experience in biotechnology and cell therapy manufacturing preferred, • Experience with commercial packaging, labeling, and cold chain strongly preferred, • Excellent communication and problem solving skills, with a desire to improve upon established processes The anticipated annual salary range (listed above) for this job is based on prior experience in the role/industry, education, location, internal equity, and other job-related factors as permitted by law. For remote-based positions, this range may vary based on your local market. Full-time employment positions will also be eligible to receive pre-IPO equity and annual bonus, in addition to competitive medical, dental, and vision benefits, PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. Other perks include subsidized daily lunches and snacks at our on-site locations. Who we are We are driven by a passion for science and compassion for patients. We act with urgency to ensure our treatments are one day accessible to all who need them. We live by our core values of passion, courage, and integrity. Excellence in our work means the chance to unlock a better quality of life for our patients, and with that comes tremendous responsibility. We innovate on a path that hasn’t been paved. We embrace an entrepreneurial spirit and take calculated risks to achieve our mission. We aren’t afraid to ask “why not” and challenge the status quo. We maintain a start-up culture of camaraderie and leadership by example, regardless of title. We’re proud to be an equal opportunity employer, and recognize that celebrating our differences creates stronger, lasting solutions that better serve our team, our patients and their healthcare providers. Notice to staffing firms Orca Bio does not accept resumes from staffing agencies with which we do not have a written agreement and specific engagement for a particular opening. Our employment activities, inquiries and offers are managed through our HR/Talent team, and all candidates are presented through this channel only. We do not accept unsolicited resumes, and we rarely outsource recruitment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionStructural Integrity Associates, Inc. (SIA) is looking for a motivated Civil/Structural Engineer to join our Critical Infrastructure Solutions team in our Sacramento, CA office. Other office locations (Atlanta, GA, Denver, CO, San Diego, CA, or San Jose, CA) may be considered. The Engineer will provide structural engineering consulting services involving advanced design and analysis under the supervision of a senior-level engineer. The Engineer will provide support to project managers and other engineers by performing 3-D modeling and engineering design and analysis of various steel and concrete structures, systems, equipment, and component anchorage. The company operates in a variety of industries including design and maintenance of civil infrastructure, nuclear power, healthcare, dams and waterways, defense, pressure vessels and piping, and mechanical and electrical components. Primary Responsibilities: • Perform structural engineering analysis and design of steel and concrete structures, using hand calculations or finite element analysis software, • Prepare technical reports and presentations; document calculations, • Prepare CAD drawings and sketches, • Review drawings, reports, and calculations prepared by other parties, • Execute structural engineering tasks of moderate complexity, • Plan, schedule, coordinate, and execute projects of small to moderate scope under the direction of engineers of higher classification, • Assist in maintaining positive client relationships, • Follow SIA’s policies on safety and quality control Required Skills/Qualifications: • MS in Civil, Structural, or Geotechnical engineering from an ABET-accredited university, • 2 to 5 years of relevant professional experience, • Engineer-in-Training (EIT) certification, • Experience using structural engineering codes and standards such as IBC, ASCE, ACI, and AISC, • Demonstrated academic or professional experience using hand calculations and/or structural analysis computer software to calculate demands and capacities of structural systems, • Enthusiasm, passion, and desire for continued learning of new ideas and concepts, • College coursework in solid mechanics, steel, concrete, seismic design, advanced structural analysis, vibrations or structural dynamics, and proficiency in finite element analysis software platforms, • Excellent written and oral communication skills, • Strong planning and organizational skills to complete assignments within budget and schedule Desired Skills/Qualifications: • PhD in Civil, Structural, or Geotechnical engineering, • Professional Engineer (PE) license, • Experience in structural engineering or finite element analysis programs (e.g. ANSYS, ABAQUS, SAP2000, LS-DYNA, GTSTRUDL, SASSI, Matlab, and Mathcad), • Proficiency with use of computer programming and scripting tools for engineering computations, such as Mathcad, MATLAB, Python, and VBA, • Experience with foundation soil-structure interaction analyses in the time and/or frequency domains, • Experience in drafting modeling software (e.g. AutoCAD/Revit, SolidWorks, or other 3D modeling software), • Advanced education in engineering mechanics, heat transfer, fluid dynamics, blast, shock, and impact analysis Pay Range: The expected salary range for this role is $80,480 to $100,600 in Sacramento, CA; $72,560 to $90,700 in Atlanta, GA; $78,720 to $98,400 in Denver, CO; $78,320 to $97,900 in San Diego, CA; and $91,840 to $114,800 in San Jose, CA. Exact pay will be commensurate with experience and location. Export Control Notice: Certain positions at SIA may require access to information and technology which is subject to Export Administration Regulations 15 CFR 730-774, including those of the US Department of Energy (DOE) in 10 CFR 810 and Nuclear Regulatory Commission (NRC) 10 CFR Part 110. Hiring decisions for such positions must comply with these regulations and may result in SIA limiting its consideration of foreign nationals who are citizens of countries that are not on the DOE’s Generally Authorized Destinations List: https://www.ecfr.gov/current/title-10/chapter-III/part-810/appendix-Appendix%20A%20to%20Part%20810. About Us: SIA is an engineering consulting firm serving various industries including Nuclear Power, Energy Services, Pipeline Integrity, and Critical Infrastructure. Join a team of internationally recognized experts in a culture based on knowledge, excellence, and respect for one another. Our employees are members of a distinct community of internationally respected professionals committed to quality, engineering innovation and a shared goal of building a safer world. Why Work at SIA? SIA offers a competitive salary and performance-based bonus program. Our retirement benefits include a Traditional 401k, Roth 401k, and an employer match. To help employees maintain a work-life balance, SIA also offers various paid time off including vacation, floating holidays, sick time, and parental leave. Our employees also enjoy a comprehensive benefits program that includes the following: • Medical, dental, and vision insurance, • Life Insurance and AD&D, • Short-term and long-term disability, • Health Savings Account with employer contribution, • Flexible Spending Account for health care and dependent care, • ID theft protection and credit monitoring Structural Integrity Associates, Inc. is an equal opportunity employer. www.structint.com SIA does not welcome third-party recruiters, employment agencies, headhunters, etc. Please do not reach out to SIA employees requesting a call, sit down, meeting, or email response. Candidate information may be verified during the hiring process. Inaccurate, deceptive, or mass-generated applications may be disqualified from consideration. Powered by JazzHR 36S6bGaePD

Lead the Frontiers of AI in Asia's Silicon Valley, Shenzhen The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) invites applications for faculty positions at all ranks (Assistant, Associate, and Full Professor) to join our rapidly expanding AI ecosystem. We seek world-class scholars to drive impactful research and education in a university that champions academic freedom and interdisciplinary collaboration. Why CUHK-Shenzhen? • Academic Freedom & International Standards: We operate an internationally-aligned tenure-track system where recruitment and promotion are based solely on academic merit. Faculty join as independent Principal Investigators (PIs) with full autonomy over their research agenda, team recruitment, and budget allocation, empowering you to pursue ambitious, long-term research goals., • An Unrivaled AI Ecosystem: Our AI architecture is anchored by a powerful triad: the School of Artificial Intelligence (SAI), the School of Data Science (SDS), and the School of Science and Engineering (SSE). This core is deeply integrated with our Schools of Medicine, Management and Economics, Humanities and Social Science, Music and Public Policy, creating a vibrant environment for foundational theory to translate into real-world AI applications across science, business, and society. Our academic strength is validated by seven disciplines in the global top 1% (ESI) and a Data Science program ranked No.1 in China. Notably, we serve as a core strategic partner, working deeply with the National School of Artificial Intelligence to conduct joint education and research, fostering the next generation of innovative AI talent., • Elite Community & Unmatched Support: Join over 700 internationally recognized scholars, including Nobel laureates and multiple academicians, in a truly globalized research community. We provide the resources to match your ambition:, • Industrial-Scale Computing: Exclusive access to massive GPU clusters and high-performance computing., • Guaranteed Talent Pipeline: Generous, guaranteed quotas for PhD students and postdoctoral fellows., • Premier Platforms: Access to 120+ research platforms and 50+ joint labs with industry leaders like JD, Huawei and Tencent., • Strategic Research Priorities: We seek applications across all AI domains, with emphasis on:, • Foundational AI: Machine Learning, Computer Vision, NLP, Robotics & Embodied Intelligence, Data Science., • Interdisciplinary Frontiers (AI+X): AI for Science & Engineering, Medicine, Business, Social Science, and Generative AI & Music. Location & Lifestyle Shenzhen, a core city in the Guangdong-Hong Kong-Macao Greater Bay Area, is a global hub for technology and innovation. Our garden-style campus in this dynamic city offers the perfect springboard for your career. Relocation to Shenzhen will be required. Compensation & Benefits We offer globally competitive compensation packages. Eligible faculty benefit from a preferential individual income tax rate in the Greater Bay Area. Support includes on-campus housing, priority admission to our affiliated K-12 schools for children, premium international healthcare, and dedicated assistance with talent programs and spousal career support. How to Apply Please submit your curriculum vitae to . Applications will be reviewed centrally by the University's AI Faculty Recruitment Committee and forwarded to the relevant Schools. Visit us (https://www.cuhk.edu.cn/zh-hans) and join us to shape the future of AI. 立足“亚洲硅谷”深圳，引领全球AI时代前沿 香港中文大学（深圳）现面向全球公开诚聘人工智能领域各梯队优秀学者（助理教授、副教授及正教授），共筑蓬勃发展的人工智能学术生态。我们热忱期盼世界级顶尖学者的鼎力加盟，依托我校崇尚学术自由与跨学科交融的学术沃土，共创具有深远影响力的前沿科研与教育事业。 为何选择港中大（深圳）？ • 接轨国际的治学理念与学术自由：我校全面实施与国际顶尖名校接轨的长聘-预聘（Tenure-track）制度，人才聘用与晋升以学术成就为基准。受聘教师入职即担任独立课题组负责人（PI），赋予其在研究规划、团队组建及科研经费支配上的全面自主权，全力护航学者攻坚具有挑战性且长远的科研目标。, • 得天独厚、全矩阵的AI生态：我校的人工智能学科架构由“三足鼎立”的核心矩阵强力支撑——人工智能学院（SAI）、数据科学学院（SDS）及理工学院（SSE）。该核心体系与医学院、经管学院、人文社科学院、音乐学院及公共政策学院深度交叉融通，构建了一个从基础理论突破到科学、商业及社会各界真实场景应用的全链条转化创新环境。我校现有七大学科跻身ESI全球前1%，数据科学理学硕士项目位列全国榜首。尤为瞩目的是，我校作为核心战略合作伙伴，与国家级人工智能学院在联合教育与前沿科研等维度开展全方位合作，致力于孕育下一代极具创新力的人工智能领军人才。, • 群英荟萃的学术共同体与顶配资源：与诺贝尔奖得主、海内外院士等700余位国际知名学者同侪共济，融入真正的国际化科研社群。我们为您的宏图远志提供相匹配的顶级资源保障：, • 工业级澎湃算力：专享大规模GPU集群及顶尖高性能计算资源配置。, • 稳定保障的人才梯队：提供充沛且有保障的博士研究生及博士后专属招收名额。, • 顶尖产学研平台：共享120余个高能级科研平台，以及50余个与京东、华为、腾讯等行业巨头共建的联合实验室。, • 战略重点招募领域： 我们诚邀人工智能所有分支领域的杰出学者加盟，并重点关注： • AI基础理论与核心技术：机器学习、计算机视觉、自然语言处理、机器人与具身智能、数据科学。, • 前沿交叉领域（AI+X）：人工智能赋能的科学与工程、智慧医疗、商业智能、计算社会科学，以及生成式 AI 与音乐。 湾区核心，诗意栖居 工作地点在深圳。深圳，作为粤港澳大湾区的核心引擎，不仅是全球科技创新的璀璨明珠，更是梦想启航的热土。我们在繁华都市中为您辟出一片如诗如画的园林式校园，为您潜心治学与惬意生活提供完美舞台。 优渥礼遇，后顾无忧 学校提供极具全球竞争力的薪酬待遇。符合条件的学者可享受粤港澳大湾区个人所得税优惠政策。完善的全方位配套服务包括：高品质校内教职工公寓、子女优先入读优质附属学校、高端国际医疗保障，以及专人协助申报各类人才项目与配偶就业支持。让您安居乐业，无后顾之忧。 广纳英才，共创未来 请将您的个人简历发送至招聘专门邮箱：。您的申请将由大学人工智能教职招聘委员会统一初审后推荐至相应学院。 诚邀访问学校（https://www.cuhk.edu.cn/zh-hans），加入我们，共同创造AI的未来！

Principal Mechanical Systems Simulation Engineer Remote / Hybrid · HQ Allentown, PA · Seed Stage About 4MP At 4MP, we are building a new technological foundation for precision manufacturing. Our systems enable CNC machines to self-measure, self-correct, and continuously improve their performance - transforming conventional machine tools into autonomous precision systems. Backed by a leading institutional investor, and extensively vetted by recognized experts across industry and government laboratories, 4MP is at the beginning of a category-defining journey. We are transitioning from early development into building a visionary company that will redefine how precision manufacturing is done globally. About the Role You will join 4MP’s cutting-edge simulation team as the Principal Engineer focused on mechanical systems simulation. Mechanical elements deflect, flex, and wear once they are loaded in service, across far more geometry and material combinations than anyone can test one-by-one. You own the physics that predicts that behavior and the code that expresses it, covering the vast space of combinations that can never be tested directly. This is a software development role, not an FEA analyst role: we are hiring the engineer who writes the solvers, not someone who sets up studies in a commercial package and delivers reports. The domain is solid mechanics and materials characterization, not process mechanics - a component treated as a structure whose response to load varies with size, geometry, material, and operating conditions. At this seed stage you are the technical authority on this physics, you write the code that expresses it, and you work closely with the rest of the engineering team to integrate that work into the platform. You are accountable for whether the predictions hold up against measurement. What You Will Do • Model Structural Response Under Load: Treat the component as a structural element - think a loaded shaft - and predict deflection and load-induced positional error as a function of size, geometry, and material properties., • Characterize Material Behavior: Derive stiffness, damping, and wear/loss characteristics from real test data, and build models that generalize to untested materials and geometries., • Parameterize and Sweep at Scale: Build the tooling that drives simulations across component size, material, operating speed, and load and engagement conditions. The combinatorics are enormous; the software must cover that space efficiently rather than replicate individual tests., • Build the Simulation Data Pipeline: Produce and manage large, well-structured simulation datasets - schemas, provenance, reproducibility - and define the sampling strategy that makes the resulting library most useful downstream., • Validate Against Measurement: Compare predictions to real test and metrology data, and iterate until they are quantitatively reliable - with stated uncertainty, not qualitative agreement., • Write the Solvers: Derive the governing equations and implement them yourself in production code - discretization, linear algebra, integration, optimization. Commercial packages are references and cross-checks here, not the deliverable., • Build Production Software: Write real code, not throwaway scripts: modular and tested against analytical and experimental benchmarks, reviewed, packaged, and documented well enough for teammates to use and extend., • Engineer for Performance: Profile and optimize the hot paths - vectorization, parallelism, compiled extensions, GPU where it pays - so that sweeps of thousands of permutations run in hours, not weeks., • Work Within a Cutting-Edge Simulation Team: Sit alongside the engineers who own optical sensing and experimental validation, and computational geometry and sensor simulation - you own the mechanical systems simulation domain and the interfaces to theirs, separating structural effects from sensing effects., • Integrate With the Platform: Work closely with the software, geometry, and sensing engineers so your models plug into the broader codebase and follow shared conventions - not standalone scripts on your own machine., • Shape the Simulation Roadmap: In coordination with the rest of the team, help decide which components, materials, and conditions to sample, and where to build versus buy., • Share Depth With the Team: Mentor colleagues on the mechanics and the numerics, review their models, and document your assumptions so others can build on and challenge your work. What We Require • 10+ Years of Experience: Deep, hands-on background in structural mechanics, materials characterization, or physics-based simulation of real mechanical systems., • Principal-Level Ownership: A track record of owning a technical domain end-to-end - scoping ambiguous problems, choosing the approach, and being the person the team relies on for the answer., • Professional Software Development: Years of writing and shipping production code in a shared codebase - version control, testing, code review, CI, packaging, and debugging software other people depend on. This is a requirement, not a nice-to-have., • Physics-First Modeling: Demonstrated ability to derive governing mechanics, implement them in code, and validate against measurement - rather than operating a simulation package as a black box., • Solid Mechanics Depth: Beam and structural deflection theory, elastic-plastic deformation under load, and material constitutive behavior., • Material Characterization: Experience deriving stiffness, damping, and wear behavior from test data and generalizing it across geometries and operating conditions., • Numerical Methods in Code: Implementing numerical methods yourself - discretization, linear algebra, time integration, root finding, optimization - with judgment about stability, conditioning, and convergence., • Collaborative Engineering: Experience working inside a shared team codebase - integrating against interfaces owned by others, following common conventions, and writing code that teammates can pick up and extend., • Performance Engineering: Profiling and optimizing numerical code - vectorization, memory layout, parallel and multi-core execution, compiled extensions such as C++, Cython, Rust, or Fortran, and GPU or CUDA where warranted., • Python at Depth: Expert-level Python and the scientific stack - NumPy, SciPy, and the surrounding tooling - not scripting-level familiarity. Comfort orchestrating large parameter sweeps and managing the resulting data., • Validation Discipline: A track record of closing the loop between simulation and physical measurement, including quantifying model error., • Educational Foundation: Master’s or PhD in Mechanical Engineering, Engineering Mechanics, Physics, Applied Mathematics, or a related field - or a Bachelor’s with equivalent depth of hands-on modeling experience. What Will Set You Apart • Published or Patented Work: Peer-reviewed publications, patents, or open-source contributions in structural mechanics, materials modeling, or simulation methods., • Surrogate Modeling: Building fast reduced-order or surrogate models that stand in for expensive simulation inside a production loop., • Rotordynamics and Vibration: Dynamic response of rotating shafts and components, including damping, modal behavior, and stability., • Thermal-Structural Coupling: Machine-structure effects such as thermal growth and its interaction with structural deflection., • Geometry Parameterization: Component-geometry parameterization - size, shape, mass distribution - and its effect on deflection and structural response., • FEA Fluency as Background: Working knowledge of commercial FEA - enough to use it as an independent cross-check on your own solvers. Valued as background depth, not as the job., • Open-Source Scientific Software: Contributions to or maintenance of a scientific computing library, solver, or simulation framework used by people outside your own team., • Compute Infrastructure: Running simulation workloads on clusters or cloud - job orchestration, containerization, and cost-aware scaling., • Industrial Context: Familiarity with machine tools, industrial equipment, process controls, or precision metrology., • Startup Experience: Comfort building in an agile, ambiguous environment where the playbook does not exist yet and the first version has to work., • Technical Influence: Experience being the voice of the physics in the room - with engineering leadership, customers, or national laboratory partners., • Ownership Drive: You are not looking for a title; you want to own a physics foundation that a new category of manufacturing is built on. This is a software development role. Applicants whose simulation experience consists of running commercial FEA packages, without a track record of writing and shipping their own code, will not be considered. Applicants without hands-on experience modeling physical systems and validating those models against measurement will not be considered. Please do not email resumes or applications directly. We review candidates exclusively through this job posting.

Do you know anyone for PhD level Photonic Integrated Circuit PIC jobs please? We have several other jobs as well Relo $ available if necessary Please call 860 889 4141 until 8PM ET 7 days a week after you email a word doc resume to me- GRAZIE Joe If you are qualified you will receive a call from me/us so please recognize our land line #, 860 889 4141, in your voice mail/voice screening system and pick up/answer when we call We have no time to deal with/listen to call screening and leaving messages We get things done, we will get you an interview Please be able to walk in and hit the ground running A min of a PhD and 2 years min post doc industry experience School/university/intern experience is not industry experience Those willing to work in, reside in/near Santa Clara County CA may be considered 1st A very nice relocation package is available A premier global technology company that manufactures electronic design software, testing hardware, and emulation tools. US Employees may be eligible for the following benefits: Medical, dental and vision, Health Savings Account, Health Care and Dependent Care Flexible Spending Accounts, Life, Accident, Disability insurance, Business Travel Accident and Business Travel Health, 401(k) Plan, Flexible Time Off, Paid Holidays, Paid Family Leave, Discounts, Perks, Tuition Reimbursement, Adoption Assistance, ESPP (Employee Stock Purchase Plan) Please review all the info below Demonstrated ability to perform innovative research in high-speed integrated photonics Demonstrated ability to perform innovative research in integrated photonics Engineering, Optics, Physics) Experience in PIC simulation, design, and layout (e.g., Lumerical, Tidy3D, IPKISS, KLayout, Cadence) Experience in RF or microwave simulation and design Experience in RF, microwave, or mm-wave simulation and design (e.g., ADS, HFSS, CST) Experience with script-based PIC layout Extensive hands-on experience with PIC characterization of O-O, O-E and E-O devices Familiarity with die or wafer probing of passive and active PIC devices Familiarity with PIC foundry tape-out processes Foundation in both measurement science and the theoretical principles and practical applications of PICs. foundation in both the theoretical principles and practical applications of PICs and mm-Wave technologies. Hands-on experience with high-speed (>10 GHz) opto-electronics device characterization Identify new technologies early and how they can best be harnessed for Implement these innovative concepts in actual hardware and software to prove feasibility Invent new measurement concepts or implementations to significantly impact ’s businesses Inventing, developing, and validating cutting-edge integrated photonic technologies with frequencies exceeding 100 GHz. Lab automation with Python – instrument control and data acquisition Photonic or electronic packaging experience Self-motivated with an ability to work collaboratively in a multi-disciplinary team Strong understanding of various electro-optic materials (e.g., lithium niobate, lithium tantalate) Strong written and verbal English communication skills theoretical analysis, device simulations, and PIC layout with an eye for packaging and commercialization. understanding of PIC integrated photonics, electro-optic materials and microwave transmission lines will be needed. Work with businesses to transfer the technology into commercial products.

Medical Affairs Scientific Training & Education Lead (PM III) Location: Remote – United States Contract Duration: 12 months to start Employment Type: Contract Industry: Pharmaceuticals / Biotechnology Therapeutic Area: Medical Aesthetics $46-$51/hr based on location and benefit selections Orion Group is seeking an experienced Project Lead – Scientific Communications & Training to support a global pharmaceutical organization's Medical Affairs team within its aesthetics portfolio. This position will lead the development of scientifically accurate medical content and engaging educational programs that equip Medical Science Liaisons (MSLs) and other Medical Affairs professionals with the knowledge and resources needed to communicate complex clinical and scientific information effectively. The ideal candidate combines a strong scientific or clinical background with experience in Medical Affairs, scientific communications, medical education, or field medical training. This individual will collaborate with Medical Directors, Scientific Communications teams, and Medical Affairs leadership to translate clinical evidence into effective educational materials and training experiences. Key Responsibilities Scientific Communications & Content Development • Develop scientifically rigorous medical education materials covering disease states, treatment landscapes, product data, emerging evidence, and clinical research., • Translate complex scientific literature and clinical trial data into clear, accurate, audience-appropriate content., • Create medical slide decks, training modules, infographics, videos, and field-facing scientific resources., • Ensure content aligns with scientific evidence, Medical Affairs standards, and applicable regulatory and compliance requirements. Medical Affairs Training & Education • Design and deliver training programs for Medical Science Liaisons and other Medical Affairs colleagues., • Apply adult-learning principles to develop engaging workshops, webinars, virtual learning, and blended educational programs., • Develop learning objectives, training curricula, and competency assessments., • Evaluate training effectiveness through learner feedback, knowledge assessments, and performance metrics. Cross-Functional Collaboration • Partner with Medical Directors, Scientific Communications, field medical leadership, and Global and US Medical Affairs teams., • Identify knowledge gaps and translate business and scientific priorities into targeted training initiatives., • Support scientific readiness across products, therapeutic areas, and evolving treatment landscapes. Project Leadership • Manage multiple scientific content and training projects from planning through execution., • Coordinate timelines, stakeholder reviews, deliverables, and quality-control activities., • Maintain awareness of emerging clinical evidence, treatment guidelines, and competitive developments., • Ensure high-quality deliverables are completed accurately and on schedule. Required Qualifications • Advanced scientific, clinical, medical, or health-related degree required., • Approximately 2–5 years of relevant experience in pharmaceutical Medical Affairs, scientific communications, medical education, field medical, or scientific training., • Demonstrated ability to critically evaluate clinical literature and communicate complex scientific concepts., • Experience developing scientific presentations, educational content, or medical training materials., • Working knowledge of pharmaceutical regulatory, legal, and Medical Affairs compliance requirements., • Strong project management, written communication, presentation, and stakeholder management skills., • Ability to manage competing priorities and work independently in a remote environment. Preferred Qualifications • PharmD, PhD, MD, RN, RPh, or another relevant advanced clinical/scientific qualification., • Experience developing or delivering training for MSLs or field medical teams., • Experience supporting global or US Medical Affairs organizations., • Familiarity with adult-learning methodologies, curriculum design, and competency assessments., • Experience with multiple therapeutic areas, product launches, or medical aesthetics., • Proficiency in PowerPoint, digital learning platforms, and scientific content-development tools. Ideal Candidate A scientifically trained Medical Affairs professional who enjoys translating complex clinical evidence into engaging educational content. This individual is equally comfortable reviewing scientific literature, developing MSL training resources, presenting technical information, and managing multiple cross-functional projects. This position is particularly well-suited for candidates with backgrounds in Medical Affairs training, scientific communications, medical education, or MSL enablement. People are our business worldwide Orion Group was founded in 1987 and is now one of the largest, independent, international recruitment companies. We have a network of 200 employees working from 24 offices, delivering a range of services – Talent Acquisition, Recruitment Outsourcing Services, Retained Search, Global Workforce Solutions, Completions & Commissioning and Materials Management – across 68 countries. As a global leader in workforce solutions, we recruit personnel across the Engineering & Technical, Office & Commercial, Scientific and Skilled Trades disciplines, for sectors including Oil & Gas, Life Science, Power & Utilities, Constructions & Infrastructure, Manufacturing and Renewables.

Remote (U.S.-based) - CA, CO, CT, DC, FL, IL, IN, MA, MD, MN, MT, NH, NJ, NY, NC, PA, RI, TX, UT, VA, WA Preference is Hybrid – Palo Alto office Travel up to 50% required ABOUT THE COMPANY Fortvita Biologics is a San Francisco Bay Area–based biopharmaceutical company advancing next-generation biologics with the goal of addressing critical health needs. Building on our foundation in oncology, we are expanding into cardiovascular and metabolic diseases, immunology, and ophthalmology, applying our scientific rigor and platform capabilities to areas of growing global health burden. Our expertise covers antibody discovery and engineering, including monoclonal, bispecific, and polyspecific antibodies, as well as antibody-drug conjugates, all supported by development strategies rooted in thoughtful design and agile execution. Our clinical development footprint covers the U.S., Australia, and key regions across APAC and Europe, including the EU, UK, South Korea, and Japan. With more than 100 professionals across research, development, regulatory, and operations, we bring deep expertise and a global perspective to every program. Guided by our mission to transform research breakthroughs into therapeutic excellence and driven by our vision to improve lives through scientific innovation, we are committed to delivering meaningful impact for patients around the world. POSITION SUMMARY The Sr. CPM will oversee the planning, execution, and delivery of our oncology clinical trials across Phase I through III upon the task assignment. This is a critical role that blends hands-on clinical trial management with strategic oversight in a highly collaborative, entrepreneurial environment. As part of a small but high-impact team, the SCPM will play a key role in driving operational excellence, managing internal or external monitoring team of CROs and vendors, and ensuring clinical programs are delivered on time, within scope, and in compliance with GCP and regulatory standards. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES • Independently lead the operational execution of oncology clinical trials from startup through close-out., • Serve as the primary point of contact for internal teams and external partners, including monitor team, CROs, vendors, and clinical sites., • Develop and maintain detailed project timelines, operational plans, budgets, and risk mitigation strategies., • Support protocol development, informed consent forms, site feasibility assessments, and study document creation/review/update/archive., • Drive site engagement and issue resolution, collaborating closely with the Medical Monitor, Regulatory, Clinical Supply, Central Sample Management and Data Management team ect.., • Manage and oversee CROs and vendors, ensuring quality and performance against contractual obligations and timelines., • Facilitate cross-functional clinical study team meetings, ensure documentation of decisions and follow-up actions., • Contribute to the development and continuous improvement of SOPs, tools, and operational best practices., • Assist in preparation for regulatory inspections and submission of INDs/NDAs., • Provide leadership in a hands-on, resource-limited environment, balancing strategic thinking with operational execution., • Other duties as assigned. REQUIRED QUALIFICATIONS • Bachelor's degree in Life Sciences or related field required; advanced degree (MS, PharmD, PhD) a plus., • 5+ years of clinical operations experience, with at least 3 years managing oncology trials., • Experience in managing cross-functional, global clinical trials; demonstrated capabilities in supporting operational aspects of clinical trial related activities., • Demonstrated experience in vendor and CRO oversight, including contracts, budgets, and performance management., • Strong understanding of FDA, EMA, ICH-GCP guidelines, and clinical development processes., • Effective leadership, communication, organizational, and interpersonal skills within small-team environments., • Ability to manage multiple projects and pivot quickly in a fast-paced, evolving setting., • Proficiency with CTMS, EDC systems, and Microsoft Office Suite., • Self-starter mindset with a collaborative spirit and willingness to “roll up your sleeves.” Competencies / Core Skills • Communication, • Problem-solving, • Collaboration, • Time management, • Attention to detail Fortvita is proud to be an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and do not discriminate based on any protected characteristic under applicable federal, state, or local law. This includes but not limited to race, color, religion, national origin, ancestry, sex (including pregnancy, childbirth, and breastfeeding), gender identity or expression, sexual orientation, age, marital status, physical or mental disability, medical condition, genetic information, military or veteran status, or hair texture and style. Harassment or discrimination on the basis of any protected trait is strictly prohibited. We do not accept unsolicited resumes from staffing agencies or search firms. Any resume submitted without a signed agreement will be considered unsolicited, and Fortvita will not be obligated to pay any fees. Additional Legal Disclaimers Applicants must have legal authorization to work in the United States. In compliance with federal law, all new hires will be required to verify identity and eligibility to work in the U.S. and complete Form I-9 upon hire. Employment at Fortvita is at-will. This means that either the employee or the company may terminate the employment relationship at any time, with or without cause or advanced notice. This job description is intended to describe the general nature of the work being performed and does not constitute a contract or guarantee of employment. Fortvita reserves the right to modify job duties or responsibilities at any time, based on business needs. Reasonable accommodation: If you require reasonable accommodation during the application process, please contact Fortvita’s Human Resources team at . We are dedicated to ensuring all applicants have equal access and opportunity throughout the recruitment process. Employment may be contingent upon successful completion of a background check and any other requirements permitted by law.

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Senior Applied AI Engineer $220,000 - $300,000 Base Salary + Equity A high-growth, venture-backed software company is hiring a Senior Applied AI Engineer to help build the intelligence layer behind its platform. This is an opportunity to work on the cutting edge of LLMs, AI agents, retrieval systems, recommendation engines, and applied machine learning, developing products that directly influence customer decisions and business outcomes at scale. You'll join a highly technical engineering team responsible for transforming large volumes of operational and transactional data into intelligent recommendations, automated workflows, and AI-powered experiences used by thousands of customers. What You'll Be Doing • Design, build, and deploy production AI applications powered by LLMs, agents, and machine learning models, • Develop intelligent systems for recommendation, retrieval, ranking, and decision automation, • Build document understanding and information extraction workflows using modern AI techniques, • Create agentic workflows that automate complex customer and operational processes, • Develop evaluation frameworks, observability tooling, and experimentation systems to measure model quality and business impact, • Own the full AI lifecycle from research and prototyping through production deployment and continuous optimization, • Partner closely with Product, Engineering, and customers to identify high-impact AI opportunities, • Stay current on emerging advancements in AI, machine learning, agent frameworks, and LLM technologies Highlights 🤖 Production AI & Agent Development – Build AI systems that power real customer-facing workflows and business decisions 🧠 Work Across the Full AI Stack – Own everything from model experimentation and evaluation to deployment and monitoring 🔎 Advanced Retrieval & Recommendation Systems – Build ranking, search, personalization, and context-aware intelligence products 📊 Own AI Evaluation & Quality – Design testing frameworks, observability tooling, and model performance infrastructure 🚀 High Ownership & Impact – Take ideas from concept to production and influence product direction ⚡ AI-First Engineering Culture – Work alongside a highly technical team leveraging modern AI tools and development workflows 📈 Massive Growth Opportunity – Join during a period of rapid expansion and help shape the company's long-term AI strategy What They're Looking For • 5+ years of experience building and shipping AI, machine learning, or data-driven products, • Strong software engineering skills with Python and/or TypeScript, • Experience developing LLM-powered applications, AI agents, retrieval systems, recommendation engines, or similar AI products, • Strong understanding of experimentation, evaluation, monitoring, and production AI systems, • Ability to independently solve complex technical challenges and drive projects from idea to launch, • Strong communication skills and experience working cross-functionally, • BS, MS, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience) Nice to Have • Experience building agentic workflows or AI-powered automation platforms, • Experience with RAG, embeddings, vector databases, ranking, or personalization systems, • Familiarity with LLM observability, evaluation, or monitoring frameworks, • Experience with modern cloud infrastructure and scalable distributed systems, • Background in commerce, analytics, forecasting, pricing, or operational intelligence products Compensation & Benefits • $220,000 - $300,000 base salary, • Meaningful equity package, • Comprehensive medical, dental, and retirement benefits, • High-impact role with significant ownership, • Opportunity to work on cutting-edge AI products alongside experienced engineers and startup operators

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Job Type: Flexible Contract (Remote) Cobalt is hiring current Masters and PhD students to review reinforcement learning tasks and environments used to test whether frontier AI models can carry out real research and engineering work. Other contributors design the tasks. Your job is to make sure each one is correct, fair, and actually measures what it claims to measure before it is accepted. If you enjoy finding the flaw in an experiment, the bug in a grader, or the loophole in a reward function, this role is built around that skill. What you will do • Review reinforcement learning tasks end to end, including the task description, environment code, data, dependencies, reference solution, and automated tests or graders, and confirm that each part is correct and consistent with the others., • Run reference solutions and graders yourself to confirm that correct solutions pass, incorrect solutions fail, and results are reproducible. Because reinforcement learning results vary between runs and random seeds, you will check that tests are deterministic or use tolerances that are clearly justified., • Look for ways an agent could pass a task without doing the intended work, such as exploiting a reward signal, reading the answer from the environment, or satisfying a weak test, and document each issue so the task author can fix it., • Review how a frontier AI model attempted each task and judge whether its failure reflects a real gap in capability, or instead reflects ambiguous wording, a hidden assumption, a broken environment, or an unfair grader., • Write clear, specific feedback to task authors and work with them through revisions until the task meets the acceptance standard., • Track recurring problems across tasks and help improve the review checklist and quality standards over time. Example tasks you might review include implementing proximal policy optimization or soft actor-critic from a paper’s description alone, finding the bug in a flawed reward function or environment, reproducing a reported learning curve and explaining a discrepancy, and running a sound statistical comparison between two agents across multiple random seeds. Who we are looking for • Currently enrolled in a Masters or PhD program in machine learning, computer science, statistics, robotics, or a closely related field., • Hands-on experience with reinforcement learning through research, a thesis, coursework projects, or industry work. You should be comfortable reading an implementation and saying whether it is correct., • Strong working knowledge of Python and at least one major framework, such as PyTorch or JAX, and experience with reinforcement learning libraries and environment interfaces such as Gymnasium., • Comfort with the Linux command line, Docker, and Git, enough to set up an environment, run a task, and trace a failure., • A solid grasp of experimental design and statistics, including variance across seeds, confidence intervals, and when a difference between two results is meaningful., • Careful, direct written communication. Much of the job is explaining precisely what is wrong and why. Strong advantages • Experience as a teaching assistant who wrote assignments or autograders, or as a peer reviewer for a conference, workshop, or journal., • A publication or preprint in machine learning, which we value but do not require., • Experience working with healthcare, clinical, or biological data, such as electronic health records, medical imaging, genomics, or laboratory data. Some projects involve these domains, and reviewers who understand them are especially valuable. Why Cobalt AI • Work on frontier AI evaluation. Your judgment directly determines which tasks are used to measure what leading models can and cannot do., • Build skills that matter for your research. Reviewing many tasks and model attempts gives you a close view of how frontier models are trained and assessed, and where they break., • Fit the work around your degree. Set your own schedule, with flexible weeks of 10 to 40 hours that can scale down during busy academic periods., • Grow with us. Strong reviewers can move into task design, project leadership, and research collaborations on future projects.

Research Engineer, Biological Safety and Orthopedic Devices Location: Remote, US-based Preferred location: Denver, CO, with onsite work possible for local candidates We are looking for a Research Engineer to support investigation, research, and remediation activities for orthopedic medical devices. This role will focus on biological evaluation, preclinical research, risk assessment, technical documentation, and regulatory support. The successful candidate will work closely with R&D, Design Engineering, Process Engineering, Manufacturing, Quality, Regulatory Affairs, Corporate, and site teams. Key responsibilities • Support the remediation and lifecycle management of existing orthopedic products., • Develop, review, and approve study protocols, technical reports, and biological safety documentation., • Lead or support biological safety risk assessments in accordance with ISO 10993., • Develop strategies for technical investigations and provide scientific expertise to cross-functional teams., • Coordinate laboratory studies, preclinical testing, timelines, deliverables, and external collaborators., • Support biocompatibility assessments and biological safety testing., • Contribute biological safety content and technical rationale for regulatory submissions., • Present scientific and technical information to internal stakeholders, regulatory bodies, surgeons, key opinion leaders, and external experts., • Prepare project updates, technical reviews, data presentations, and research summaries., • Support cross-functional project planning, risk management, scope, timelines, and execution. Required qualifications • Master’s degree in Biomedical Science, Biology, Toxicology, Materials Science, or a related discipline., • PhD or DVM is preferred., • 5+ years of experience in medical-device R&D with responsibility for biological safety risk assessment, or equivalent experience., • 3 to 5 years of hands-on preclinical in vivo research, including large-animal model testing., • Strong knowledge of ISO 10993, biocompatibility, biological evaluation, and orthopedic-device requirements., • Experience supporting regulated product development and cross-functional research programs., • Demonstrated project-management experience., • Strong scientific writing, presentation, problem-solving, and stakeholder-management skills., • Ability to communicate complex scientific and regulatory topics clearly to technical and non-technical audiences. This opportunity is ideal for someone with strong expertise in biological safety, orthopedic devices, preclinical research, and regulated medical-device development.

Bachelor's, Master's, or PhD in Nuclear Engineering, Mechanical Engineering, Reliability Engineering, or a related field. You will work closely with reactor designers, safety analysts, licensing engineers, systems engineers, and operations personnel to ensure risk-informed principles are incorporate

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. Job Title: AI Product Manager – Biopharma Location: [US – New Jersey] Employment Type: Full-time Department: Product Management / Life Sciences Solutions 📝 Job Summary: We are seeking a dynamic and experienced AI Product Manager – Biopharma to lead the strategy, planning, and execution of innovative products that serve the pharmaceutical, biotechnology. This individual will drive product lifecycle management from ideation to commercialization, ensuring the delivery of compliant, high-impact solutions that support R&D, clinical development, regulatory, and post-market needs. Candidates should bring strong techno-functional expertise, digital product acumen, and the ability to bridge scientific insight with commercial value. 🧠 Key Responsibilities: 1. Product Strategy & Vision • Define and own the product vision, strategy, and roadmap for Biopharma offerings (drug development, clinical trials, regulatory, pharmacovigilance, commercial), • Conduct market research, customer interviews, and competitive analysis to inform feature prioritization and differentiation. 1. Product Lifecycle Management • Manage the full product lifecycle from ideation, MVP development, pilot testing, global rollout, to post-market updates and sunsetting., • Lead cross-functional teams through Agile development cycles to deliver high-quality, timely product releases. 1. Stakeholder Collaboration • Act as the key interface between engineering, scientific SMEs, marketing, regulatory affairs, and sales., • Collaborate with external partners, CROs, regulatory bodies, and key opinion leaders to refine product features and ensure compliance. 1. Innovation & Digital Transformation • Drive the integration of emerging technologies such as Gen AI, NLP, RWD/RWE platforms, and cloud-based systems into life sciences workflows., • Partner with AI/ML teams to conceptualize smart, compliant features for medical content generation, adverse event detection, clinical data analysis, and signal management. 1. Go-to-Market & Commercialization • Develop product launch plans, including value propositions, pricing, positioning, and user training., • Support pre-sales and customer success teams with product demos, documentation, and RFP responses. 📋 Required Qualifications: Education: • Bachelor’s degree in Life Sciences (Pharmacy, Biology, Biotechnology, or equivalent)., • Advanced degree (MS, PhD, or MBA) is a plus. Experience: • 10+ years of experience in product management within the life sciences, pharmaceutical, biotechnology, or medical devices industry., • Demonstrated experience launching B2B SaaS, clinical, regulatory, or pharmacovigilance, payers and providers products in regulated environments., • Prior involvement in global product rollouts across multiple markets. Domain Expertise: • Strong understanding of clinical trial processes, drug safety, regulatory compliance (GxP, FDA, EMA, ISO 13485), and R&D lifecycle., • Experience with HealthTech, MedTech, Genomics, or Real World Evidence (RWE) is highly desirable. Technical & Tools: • Familiarity with AI/ML applications in life sciences is a strong advantage., • Developed AI based products and solutions, expertise in Gen AI and agentic AI, • Proficiency with product management tools (JIRA, Aha!, Confluence), wireframing (Figma, Balsamiq), and analytics dashboards., • Experience working with cloud (GCP, AWS, Azure), API integrations, and GxP-compliant systems. ✅ Preferred Competencies: • Strategic thinking with strong analytical and decision-making skills., • Excellent communication, storytelling, and stakeholder management abilities., • Strong organizational skills and a results-oriented mindset., • Comfortable navigating ambiguity in highly regulated industries., • Experience working with global teams across time zones. 🎯 KPIs & Success Metrics: • Time-to-market for new product/features., • Product adoption and customer satisfaction (NPS, CSAT)., • Revenue growth and market share contribution., • Compliance and regulatory approval success rates. Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Active Top Secret/SCI clearance preferred. Candidates without an active clearance must be eligible to obtain and maintain a Top Secret clearance with SCI eligibility. U.S. citizenship is required to meet applicable government security clearance requirements. PREDICTION is building AI systems for some of the most demanding national security environments in the United are hiring an exceptional AI Research Engineer to join our growing engineering and research team in New York. This is not a traditional software engineering role and it is not purely academic research. We are looking for someone who can take new ideas in AI and machine learning, test them quickly, improve them, and turn them into systems that work in the real world. You will work on problems involving multimodal AI, computer vision, video understanding, reasoning, temporal intelligence, sensor data, and large-scale machine learning systems. What You’ll Do • Research, design, and build advanced AI and machine learning systems, • Develop models that reason across video, images, text, structured data, and other signals, • Work on computer vision, multimodal models, vision-language models, temporal reasoning, and behavioral understanding, • Read and implement ideas from the latest AI research and evaluate whether they can solve real operational problems, • Train, fine-tune, evaluate, and optimize machine learning models, • Design experiments and rigorous evaluation frameworks for complex real-world datasets, • Build prototypes quickly and turn successful research into production systems, • Work closely with engineers, AI researchers, and national security experts, • Help define PREDICTION’s technical direction as we develop new AI capabilities What We’re Looking For • Strong experience in machine learning, deep learning, computer vision, multimodal AI, or related fields, • Excellent Python and PyTorch skills, • Experience building and training neural networks, not simply integrating third-party AI APIs, • Experience with one or more of the following: computer vision, video understanding, VLMs, transformers, multimodal learning, object detection, tracking, temporal modeling, sensor fusion, or LLMs, • Strong understanding of modern machine learning research and experimentation, • Ability to move between research, experimentation, and production engineering, • Strong problem-solving skills and willingness to work on difficult, open-ended technical problems, • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Applied Mathematics, Electrical Engineering, or a related technical field Strong Plus • Publications at conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, or KDD, • Experience at an AI research lab, defense technology company, national laboratory, or advanced technology organization, • Experience with real-time video, edge AI, sensor data, geospatial data, autonomous systems, or intelligence applications, • Experience deploying ML models into production or resource-constrained environments, • Active or previous U.S. government security clearance Who You Are You are curious, technical, and highly driven. You enjoy reading a new paper and asking, “Can we actually make this work?” You are comfortable operating without a predefined solution. You can move quickly, run experiments, challenge assumptions, and build. You want your work to have a real-world mission and you want significant ownership over what you create. About PREDICTION PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are building a world-class team of engineers, researchers, and national security professionals to develop the next generation of AI for mission-critical environments.

Your Role As the Strategic Applications Manager working remotely, you will operate at the vital intersection of high-level technical problem-solving and strategic relationship building. Reporting to President of the North America office, you won’t just manage accounts you will act as a deeply embedded technical consultant and innovation driver for our highest profile Tier-1 clients across Aerospace & Defense, Medical Devices, Automotive, and Advanced R&D. By speaking "engineer-to-engineer" with PhDs and R&D leads, you will identify critical engineering pain points, engineer custom solutions using Pico’s software-defined T&M platform, and build the long-term technical trust required to integrate our technology into their future product roadmaps. What You’ll Be Doing • Acting as the primary technical expert for Tier-1 accounts, diagnosing complex engineering challenges, and proposing high-impact, custom hardware and software solutions., • Embedding yourself within client R&D and engineering departments to identify new opportunities for collaboration and expansion across military, medical, and aerospace sectors., • Building deep technical trust with client engineering teams to ensure Pico’s PC-based oscilloscopes, data loggers, and RF products are designed into their long-term project roadmaps., • Developing and executing a targeted key account channel management program to successfully penetrate new customers and industries across the US market., • Tailoring and adapting highly technical presentations and demonstrations for diverse sectors, ranging from life-saving medical tech to mission-critical defense systems., • Bridging the gap between the client’s unique engineering needs and Pico’s internal capabilities to ensure seamless execution of custom applications. What You’ll Need • A Bachelor’s degree in Electronic Engineering or equivalent hands-on experience using oscilloscopes, data loggers, high-speed instrumentation, or RF systems., • 3 to 5+ years of success in an Applications Engineering, Field Engineering, or Technical Sales role, with a track record of working within R&D-heavy industries., • Experience in applications relating to the design, development, and control of signal acquisition systems., • The unique ability to communicate fluently and confidently with PhD-level researchers and R&D leads while maintaining a sharp, strategic business perspective., • A natural, driven curiosity for how complex systems work and a passion for turning technical hurdles into functional realities., • Demonstrated capability to proactively develop and execute new business opportunities to expand account footprints. At Pico Technology, we’re not just about creating world-class test & measurement tools - we’re about creating an inspiring workplace where every team member can thrive. What's in it for you? • Active Sports & Social Committee, • Health Insurance, • Simple IRA with Company Match, • Annual Company Party, • Wellbeing Room onsite, • Bean to cup coffee and soft drinks onsite If you’re looking to escape the ordinary and take on a varied, rewarding role, this is your chance to join a company where your skills will make a real impact. Are you ready to apply? If you are as excited as we are, hit the apply button below and let us get your next chapter started. Apply today: We cannot wait to welcome you on board!

Director, Data Science - New Revenue Bets Responsibilities:. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline.

We are hiring an AI/ML Engineering Intern for a 3-6 month internship (with potential for extension) to contribute to our research and engineering efforts remotely within the United States.

Northrop Grumman is seeking an Intern, Electrical Engineer to join the Space Systems Sector.The role is located in Vandenberg, CA, with opportunities to work on spaceflight hardware and ground support systems.You will assist with integration, testing, and operation of avionics systems, coordinate te

Kimley-Horn is looking for Engineering students to join our Water/Wastewater Team in our Sacramento, California (CA) office in Summer 2027! This is not a remote position. Contribute to the pre-construction civil engineering design, planning, modification, permitting, and analysis for multiple projec

Kimley-Horn in Sacramento, CA is seeking Engineering students to join our Water/Wastewater Team for Summer 2027.