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Job DescriptionRole Overview We’re launching an internal AI/LLM venture and seeking a true co-founder who will lead our technical vision, drive product development, and build a world-class data science practice. You’ll partner directly with leadership, own the roadmap for th products, and help spin out a high-growth AI startup from within our organization. Key Responsibilities • Technical Leadership: Define and execute the end-to-end AI/LLM technical strategy—from data ingestion and model selection to fine-tuning, scaling, and deployment., • Product Development: Collaborate with product management to translate market needs into AI features; prototype rapidly and move to production., • Team Building: Recruit, mentor, and manage data scientists, ML engineers, and AI researchers. Establish best practices for MLOps, A/B testing, and monitoring., • Incubation & Operations: Set up infrastructure, tooling, and processes to support agile experimentation and continuous iteration within the incubator., • Stakeholder Alignment: Present technical plans, milestones, and trade-offs to executive sponsors; coordinate with legal, security, and compliance for data governance., • Go-to-Market Support: Work alongside go-to-market teams to craft demos, pilot programs, and proofs-of-concept that showcase our LLM capabilities to early customers., • Equity & Ownership: Act as a true co-founder with an equity stake—aligning long-term incentives on growth, fundraising, and exit strategies. Required Qualifications • Proven Co-Founder/Leadership Experience: Founded or co-founded at least one AI or data-centric startup, or led a ground-up AI initiative with demonstrable impact., • Deep Data Science Expertise: Example: Master’s or PhD in Computer Science, Statistics, or related field; 3+ years in data science or ML engineering roles., • LLM Mastery: Hands-on experience fine-tuning, evaluating, and deploying large-language models (e.g., GPT, LLaMA, Mistral) at scale., • Production-Grade ML Ops: Expertise with infrastructure (Kubernetes, Docker), data pipelines (Airflow, Prefect), and model-serving frameworks (TensorFlow Serving, TorchServe)., • Cross-Functional Collaboration: Track record partnering with product, design, and commercial teams to ship AI-driven features under tight timelines., • Fundraising Savvy: Comfortable presenting technical vision to investors and participating in pitch decks, due diligence, and board meetings. Preferred Experience • Successful exit or fundraising round in an AI-focused venture, • Open-source contributions in NLP or ML communities., • Familiarity with prompt engineering frameworks and evaluation metrics for generative AI. What We Offer • Equity & Co-Founder Status: Significant founder equity in the new venture alongside a competitive salary., • Autonomy & Resources: Backing from our parent company’s engineering, design, and go-to-market teams plus a dedicated R&D budget., • Growth & Impact: A rare opportunity to incubate a cutting-edge business from day one and shape the future of AI within a growing organization.

What You Must Have - Bachelor's Degree - 8 years of experience - One or more of the following credentials or certifications is required: CPA License, Level 3 of the CFA, JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics, Real Estate Finance or

Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field. Demonstrated experience building and using SQL/NoSQL databases. Engineering Manager, Machine Learning Operations.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description ABOUT THE NEW YORK ACADEMY OF SCIENCES The New York of Academy of Sciences is an independent, not-for-profit organization that since 1817 has been committed to advancing science for the benefit of society. With more than 20,000 Members in 100 countries, the Academy advances scientific and technical knowledge, addresses global challenges with science-based solutions, and sponsors a wide variety of educational initiatives at all levels for STEM and STEM related fields. The Academy hosts programs and publishes content in the life and physical sciences, the social sciences, nutrition, artificial intelligence, computer science, and sustainability. The Academy also provides professional and educational resources for researchers across all phases of their careers. Please visit us online at JOB TITLE: Program Manager, Physical Sciences DEPARTMENT: Awards REPORTS TO: Associate Director, Awards SUMMARY: The Program Manager will be responsible for various activities in support of the Academy’s award programs, including establishing and launching new award cycles, helping to raise award awareness among global audiences, assessing a broad range of nominations in your subject area, recruiting expert judges, explaining the honorees’ work to broad audiences through a variety of multimedia and social media platforms, designing scientific symposia to showcase honoree research, and maintaining a network of previous honorees that participate in annual symposia, awards ceremonies, and other events. You may also participate in the administration of other physical sciences–based programming at the Academy as needed, for example working with the Scientific Programs team on conferences in various areas of physical sciences. ESSENTIAL DUTIES: • Work with the Senior Leadership to identify, select, and establish ongoing relationships with an international cadre of judges, Scientific Advisory Council members, nominators, nominating institutions, and affiliated partners., • Review nominations in broad disciplinary areas of physical sciences; evaluating each application according to rigorous quantitative and qualitative metrics., • Serve as primary point of contact for judges in your topic area and programs; facilitate nominee/applicant evaluation and honoree selection by juries of expert scientists, conducted both online and in-person., • Coordinate the preparation of multimedia materials for broad audiences that explain the impact of the honorees’ complex scientific research., • Conceptualize and develop scientific programming for international and domestic symposia that showcase honoree research for scientific and lay audiences., • Work with the Academy’s Senior leadership team as well as various administrative and operations departments, affiliated partners, and other vendors as needed to develop and execute domestic and international award ceremonies and other program events., • Collaborate across Academy departments to identify potential opportunities for ongoing honoree engagement in additional Academy initiatives and publications., • Develop an understanding of the Academy, its mission, strategy, and programs., • Serve as an ambassador for the Awards program portfolio, and the Academy as a whole, through public inquiries and networking opportunities., • Keep abreast of scientific advances relevant to program subject areas., • Facilitate judging processes in your topic areas, including the rationale applied to all stages of honoree selection and the recruitment of judges, ensuring the highest ethical standards are applied to all aspects of the nominations and judging process., • Prepare and review multimedia materials that explain the complex scientific concepts and impact of the honorees’ award-winning research to broad audiences across various platforms, including program websites, social media platforms, brochures, magazine articles, and press releases, as well as in short films, scripted speeches, and slide presentations showcased at awards ceremonies, symposia, and related events., • Work with Awards team, external key opinion leaders, and program sponsors to develop content and program materials for symposia that showcase honorees; moderate scientific sessions and panel discussions as required., • Work with the Academy’s marketing team to identify relevant outlets for awards and event promotion., • Track the major scientific and career milestones achieved by honorees and help to promote them and their work through our social media channels and other outlets as appropriate., • Work with the senior Leadership, program administration partners, and sponsors to manage compliance, Sunshine Act, fiscal, and other reporting requirements., • Work with Senior leadership, other team members, and sponsors to continuously evaluate and strive to improve the awards processes and implementation., • Author grants and sponsorship proposals for program support from government agencies, private companies, medical education, foundations, and individuals., • Review applications and select individuals for Poster Presentations, Travel Fellowships, and Poster Prizes., • Write and review program and post-conference reports for supporters., • PhD required in an appropriate subject area of Physical Sciences., • Professional experience outside of academic research. This may include activities pursued in parallel to a research career, for example outreach activities or committee service, or more formal professional experience working in scientific publishing, non-profit, etc., • Post-doctoral or related experience in academia, government, or industrial research, and/or science publishing a plus., • Outstanding oral and written communication skills., • Experience, ability, and comfort in dealing with complex scientific information beyond own area of expertise., • Experience with grant writing and program management a plus., • Experience in global academic ecosystems outside of the US a plus., • Ability to work with multiple teams across departments and to manage multiple parallel projects with tight deadlines. Hybrid scheduling may be available based on business needs and the essential functions of the role. There will be some requirement to be onsite at our Downtown Manhattan location. Onsite days will be dictated by management. The work will be performed using standard computer equipment. Employee must be comfortable using a large suite of applications and tools including calendar, email, virtual calling and video conferencing. This role is largely sedentary. ADDITIONAL WORK ENVIRONMENT/PHYSICAL DEMANDS: Travel: Some domestic and/or international travel (5%) may be required most likely to the United Kingdom, Israel, Japan, India and/or Europe. SUPERVISORY RESPONSIBILITY: None. COMPENSATION & BENEFITS: Salary: $75,000 annually This is Full-time, exempt position. In addition to salary, the Academy offers a comprehensive benefits package which includes affordable health insurance, retirement plan with matching employer contribution, personal & career development stipend as well as liberal paid time off policies. This job description should not be considered all-inclusive. It is meant to be a summary of expected tasks, responsibilities, and duties to help guide Employees in their work. The employee understands that the job description is neither complete, nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities beyond those listed in the job description with or without notice. The New York Academy of Sciences is an Equal Opportunity Employer, adhering to the laws which prohibit discrimination in the terms, conditions and privileges of employment. Academy policy expressly prohibits discrimination in employment because of any legally impermissible classification, including but not limited to actual or perceived race, creed, color, national origin, sex, age, religion, and any other characteristic protected by federal, state or local laws. Powered by JazzHR OI1CiQNx2V

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description As a Principal Software Engineer within the Technology II team, you will help drive the engineering practices that enable critical technical solutions that advance AbbVie's mission. You will work across groups to design, develop, and deliver software solutions that are aligned with our business objectives and technological framework. Responsibilities * Design and implement complex software solutions to meet business needs, ensuring alignment with enterprise and functional architecture. * Lead development efforts for cloud-based applications using AWS services, notably Lambda, API Gateway, and ECS. * Collaborate with technical and business stakeholders to integrate technical objectives into the agile development processes, enhancing product delivery timelines and quality. * Prototype and develop scalable APIs with a focus on cloud integration and security. * Implement best practices for DevOps and automation, using tools like AWS CloudFormation, GitHub, and Docker. * Identify improvements and enhancements in existing systems to maintain optimal performance and security. * Mentor junior engineers and collaborate with cross-disciplinary teams to enhance innovation and technical excellence. Qualifications • Bachelor's Degree in Computer Science, Software Engineering, or a related field with 9 years experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience., • Extensive experience in software engineering, with a focus on cloud technologies and infrastructure., • Proven track record of delivering complex software solutions that impact productivity., • Strong proficiency in programming languages such as Python, Java, or Node.js., • Expertise in AWS cloud services, including EC2, S3, Lambda, and DynamoDB., • Knowledge of DevOps methodologies and tools, with experience in CI/CD pipeline setup., • Excellent communication skills and the ability to navigate complex technical challenges., • Demonstrated leadership experience in a technical role, with the ability to influence and guide teams. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. Why Join us? At Voyant, you’ll be part of a team turning cutting-edge research into real-world products. As a growing startup, we offer interns the chance to make a meaningful impact, work closely with senior engineers, and learn what it takes to build disruptive sensing technology. This is more than an internship — it’s a chance to grow your technical skills and career in one of the most exciting fields of hardware innovation. You will learn: * Hands-on experience with FMCW LiDAR technology and silicon photonics. * Best practices in sensor calibration, validation, and characterization. * How startups execute quickly and bring advanced hardware from lab to product. * Cross-disciplinary collaboration with engineers in optics, firmware, and systems integration. * Exposure to advanced tools in signal processing, photonics testing, and data science. Position Overview We are seeking a motivated and hands-on Intern to join our team and contribute directly to the characterization and improvement of our FMCW LiDAR systems. This is a unique opportunity to gain real-world experience in a fast-growing startup, working with disruptive sensing technology at the cutting edge of photonics, hardware, and software integration. As an intern, you will primarily be responsible for data collection and analysis to characterize our sensors, but your role will expand to include calibration, experimental setup, and broader contributions to engineering validation. You’ll work closely with engineers across disciplines (optics, electronics, firmware, and software) and gain insight into how breakthrough hardware is developed and productized. Location: NYC Duration: 4 months Hours: 12+ hours per week Responsibilities: * Collect and analyze data from FMCW LiDAR experiments to characterize system performance (range, velocity, reflectivity, SNR, etc.). * Perform calibration of sensors, ensuring repeatability and accuracy across test campaigns. * Assist in designing and executing test setups for laboratory and field measurements. * Support automation of data collection pipelines, including scripting and data processing. * Document test procedures, results, and insights to feed back into product improvements. * Contribute to debugging sensor issues by collaborating with hardware and software teams. * Perform literature and competitive research to benchmark performance against industry standards. * Present findings in team reviews and recommend improvements to measurement methods or sensor design. Qualifications * Pursuing a BS, MS, or PhD in Electrical Engineering, Physics, Computer Engineering, Optics, or a related field. * Strong analytical skills with experience in Python, MATLAB, or similar tools for data analysis. * Hands-on lab experience with instrumentation (oscilloscopes, spectrum analyzers, photodetectors, etc.) preferred. * Familiarity with signal processing, sensing systems, or optics a plus. * Eagerness to learn, experiment, and contribute in a fast-paced startup environment. What We Offer * Team events and company meetups * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.