Senior Principal Scientist jobs in North Bergen, NJ

Job Title: Associate Scientist--NJ Duration: 12 Months Qualifications: Education: BS / MS with minimum 1-3yrs of experience (academic or industry). The ideal candidate would possess: • Experience in modern liquid chromatography (Agilent UPLC preferably with Open Lab CDS) • Experience in preparing and analyzing samples for solubility determination • Experience with Microsoft office products, Excel • Ability to multi-task and be self-motivated • Ability to perform duties and responsibilities with minimal supervision. Preferred experience would include: • Experience with Excel Macro Programming • Experience with X-ray powder diffraction (Bruker AXS preferred) • Experience with Liquid Handling Robots (Tecan and/or Dynamic Devices, preferred) • Gravimetric and volumetric sample preparation and dilution experience is required. Responsibilities: Discovery Analytical Research - Automation Scientist responsibilities include, but are not limited to, the following: • Responsible for receiving and documenting samples that are submitted for screening assays • Tracking the preparation and analysis of hundreds of samples submissions per week using automation techniques and current assay guidelines • Setup, troubleshooting, and upkeep of automation equipment used for analysis which includes Tecan liquid handling robots and Agilent UPLC's • Preparing samples for UPLC analysis using automation tools • Data processing and interpretation • Calibration, repair, and maintenance of laboratory equipment • Execution of sample testing and analysis within specified time frames. • Routine physical testing of samples to support formulation development • Support routine laboratory activities including weekly eye-wash checks, shipping, and chemical inventory. • Gravimetric and volumetric sample preparation and dilution.

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you're working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The expected salary range for this position is: $315,000 - $340,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Other Useful URLs (e.g. Blog Posts) Are you open to working in-person in one of our offices 25% of the time? * Select... Of the locations listed on the job posting, which one are you most interested in working from for your 25% time in-person? * Select... When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select... While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) In one paragraph, provide an example of something meaningful that you have done in line with your values. Examples could include past work, volunteering, civic engagement, community organizing, donations, family support, etc. * Team Matching * Pre-training - The Pre-training team trains large language models that are used by our product, alignment, and interpretability teams. Some projects include figuring out the optimal dataset, architecture, hyper-parameters, and scaling and managing large training runs on our cluster. AI Alignment Research - the Alignment team works to train more aligned (helpful, honest, and harmless) models and does “alignment science” to understand how alignment techniques work and try to extrapolate to uncover and address new failure modes. Reinforcement Learning - Reinforcement Learning is used by a variety of different teams, both for alignment and to teach models to be more capable at specific tasks. Platform - The Platform team builds shared infrastructure used by Anthropic's research and product teams. Areas of ownership include: the inference service that generates predictions from language models; extensive continuous integration and testing infrastructure; several very large supercomputing clusters and the associated tooling. Interpretability - The Interpretability team investigates what's going on inside large language models - in a sense, they are trying to reverse engineer the concepts and mechanics from the inscrutable learned weights of these systems. Their goal is to ensure that AI systems are safe by being able to assess whether they're doing what we actually want, all the way down to the individual neurons. Societal Impacts - Our Societal Impacts team designs and executes experiments that evaluate the capabilities and harms of the technologies we build. They also support the policy team with empirical evidence. Product - The Product research team trains, evaluates, and improves upon Claude, integrating all of our research techniques to make our AI systems as safe and helpful as possible. Which teams or projects are you most interested in? (Note: if none of the teams you select are hiring, we won't proceed with your application at this time, although we may reach out if those teams open roles in the future.) What's your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding, reading papers, etc.? Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Do you require visa sponsorship? * Select... Additional Information * Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. 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Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. Where will you work? Our Clark, NJ location is part of our Beverage division and creates flavor ingredients and beverages for Kerry customers and brands. Using state-of-the-art analytical and sensory capabilities, we're able to create and process different flavor blends, extractions, distillations, emulsions, and essential oils for your favorite foods and beverages. With multiple functions under one roof, there are many opportunities to develop and continue growing! What will you do? Main Objective We are seeking a talented and dedicated Scientist to join our team. The successful candidate will be responsible for developing and preparing beverage formulations, syrups, and/or beverage concentrates at lab and pilot plant scale, following direct customer specifications. Key Responsibilities Develop and prepare beverage formulations, syrups, or beverage concentrates at lab and pilot plant scale. Test and establish beverage formulations according to specific taste profiles and regulatory requirements. Customize beverage ingredients independently or within a cross-functional team environment. Calculate calories and understand sweeteners and nutrients in formulations. Facilitate the shipment of samples for internal and external customers. Support beverage and taste development under proper GMPs and safety standards. Maintain flexibility to meet deadlines and handle multiple tasks with speed and high accuracy. Master beverage formulation for sparkling, still, juice and functional beverages. Exceptional sensory skills to define and discriminate flavor profiles in short timelines. Ability to work on RTD and RTM formats at different concentration levels. Deep understanding of beverage processing techniques and nutritional value calculations. Good communication skills to explain formulations at a commercial setting with customers. Good mathematical skills to work with dilutions, percentages and ppm on ingredients. Self-motivated to find a solution to complex problems. What will you need to be successful? Bachelor's Degree in Food Technology, Biology, Chemistry, or a related Applied Science. Minimum 5 years of experience in beverage development and formulation. Scientific and analytical aptitudes. Good mathematical skills. Proficiency with Microsoft Office. SAP is a plus. Compensation Data The typical hiring range for this role is $73,758 to $120,421 annually and is based on several factors including but not limited to education, work experience, certifications, location, etc. In addition to your pay, Kerry offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and retirement contribution (all benefits and incentives are subject to eligibility requirements. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at: Know Your Rights: WorkplaceDiscrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms(e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a “starter kit,” investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.

At Beacon Hill, we are dedicated to pushing the boundaries of scientific innovation in pharmaceutical development. Our collaborative, fast-paced environment supports discovery and growth. We are currently seeking an enthusiastic and detail-oriented Assistant Formulation Scientist to join our R&D team and contribute to the development of new and innovative formulations. Position Summary: As an Assistant Formulation Scientist, you will support the development, optimization, and scale-up of formulations from concept through commercialization. This hands-on lab-based role is ideal for someone with a passion for experimentation, scientific problem-solving, and contributing to cutting-edge product development. Key Responsibilities: Assist in the design, preparation, and testing of prototype formulations. Conduct stability studies, physical/chemical evaluations, and compatibility testing. Maintain accurate lab notebooks, records, and reports in accordance with company SOPs. Collaborate with cross-functional teams including Quality, Manufacturing, and Regulatory Affairs. Operate and maintain laboratory equipment and ensure lab safety compliance. Participate in the documentation process for regulatory submissions and product specifications. Qualifications: Bachelor's degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, or related field. 0-2 years of relevant laboratory experience; internships/co-op experience welcome. Strong understanding of formulation principles and basic analytical techniques. Excellent organizational and communication skills. Ability to work independently and in a team setting in a fast-paced environment. Proficiency in Microsoft Office and familiarity with laboratory software a plus. Preferred Skills: Experience with emulsions, suspensions, gels, or other complex formulation types. Familiarity with GMP/GLP environments. Exposure to process development or scale-up activities. What We Offer: Opportunities for professional development and advancement A collaborative and innovative workplace culture Access to cutting-edge facilities and technologies To Apply: Submit your resume and to this posting confirming your interest. Desired Skills and Experience At Beacon Hill, we are dedicated to pushing the boundaries of scientific innovation in pharmaceutical development. Our collaborative, fast-paced environment supports discovery and growth. We are currently seeking an enthusiastic and detail-oriented Assistant Formulation Scientist to join our R&D team and contribute to the development of new and innovative formulations. Position Summary: As an Assistant Formulation Scientist, you will support the development, optimization, and scale-up of formulations from concept through commercialization. This hands-on lab-based role is ideal for someone with a passion for experimentation, scientific problem-solving, and contributing to cutting-edge product development. Key Responsibilities: Assist in the design, preparation, and testing of prototype formulations. Conduct stability studies, physical/chemical evaluations, and compatibility testing. Maintain accurate lab notebooks, records, and reports in accordance with company SOPs. Collaborate with cross-functional teams including Quality, Manufacturing, and Regulatory Affairs. Operate and maintain laboratory equipment and ensure lab safety compliance. Participate in the documentation process for regulatory submissions and product specifications. Qualifications: Bachelor's degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, or related field. 0-2 years of relevant laboratory experience; internships/co-op experience welcome. Strong understanding of formulation principles and basic analytical techniques. Excellent organizational and communication skills. Ability to work independently and in a team setting in a fast-paced environment. Proficiency in Microsoft Office and familiarity with laboratory software a plus. Preferred Skills: Experience with emulsions, suspensions, gels, or other complex formulation types. Familiarity with GMP/GLP environments. Exposure to process development or scale-up activities. What We Offer: Opportunities for professional development and advancement A collaborative and innovative workplace culture Access to cutting-edge facilities and technologies To Apply: Submit your resume and to this posting confirming your interest. Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: ***************************************** Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Founded by industry leaders to set a new standard in search, career placement and flexible staffing, we deliver coordinated staffing solutions with unparalleled service, a commitment to project completion and success and a passion for innovation, creativity and continuous improvement. Our niche brands offer a complete suite of staffing services to emerging growth companies and the Fortune 500 across market sectors, career specialties/disciplines and industries. Over time, office locations, specialty practice areas and service offerings will be added to address ever changing constituent needs. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting ************* Benefits Information: Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings. We look forward to working with you! Beacon Hill. Employing the Future™

Compensation: $180,000 - $220,000 base salary + Equity About the Company: We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there's a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it's now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy. THE ROLE As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation. Key Responsibilities: AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets. Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems. Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization. Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals. Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation. Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers. YOUR SKILLS AND EXPERIENCE We're seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development: 2-8 years of professional experience in applied NLP or LLM-based system development. Strong foundation in building and deploying NLP models in production settings. Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spa Cy, etc.). Demonstrated experience scaling models across large, unstructured datasets. Applied research background with a proven track record of translating research into real-world tools and platforms. Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). Excellent communication skills and comfort working in agile, high-ownership environments. PhD or Master's degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred). Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable. THE BENEFITS Competitive Compensation: Base salary of $180,000 - $220,000 + performance bonus Innovation Ownership: Drive the development of novel NLP applications and contribute to IP Remote Flexibility: Work from anywhere in the U.S. Full Benefits: Health, dental, vision, 401(k), generous PTO, and more HOW TO APPLY To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page Desired Skills and Experience AI Applied Scientist, LLM

67 West Street, Suite #415, Brooklyn, NY 11222 *********************** JAIDEVELOPMENT.COM Job Description: Research and Development Food and Beverage Scientist Reports To: Director of Operations About Us: JAI Development is a leading food and beverage innovation lab based in Brooklyn, NY. We specialize in product formulation and production operations management, supporting a wide range of food and beverage categories. Our strength lies in helping emerging CPG brands develop and commercialize high-quality, scalable products through a mix of technical expertise, creative thinking, and strategic execution. Backed by a robust network of industry professionals, we serve as a collaborative partner from concept through commercialization. What we are looking for We are seeking a full-time Food Scientist to join our innovation team in Brooklyn. This is a hands-on, lab-based role focused on research, formulation, and client-facing development. You'll be responsible for bringing new food and beverage concepts to life, conducting bench-scale experiments and prototyping, managing project timelines and documentation, and working closely with both internal teams and external clients to deliver high-impact products that meet technical, sensory, and business goals. Key Responsibilities Conduct ingredient research, ideation, and formulation of new products based on scientific principles, nutritional targets, and client briefs. Translate product requirements into actionable development plans; refine formulations based on feedback and testing. The majority of the role will be dedicated to bench-scale experiments and development of prototypes for assigned projects, with attention to ingredient functionality, stability, scalability, and sensory performance. Engage directly with clients to define product goals, communicate technical progress, present exploratory pathways, and incorporate feedback for final formulation approval. Manage and update project management software, all relevant project documentation, including formulation records, batch notes, and technical briefs. Collaborate with lab leadership to prioritize tasks and manage workload in alignment with broader project timelines. Lead or support technical research initiatives to identify new ingredients, technologies, and methodologies to inform and enhance formulation work. Train and mentor junior lab staff and assistants, providing hands-on guidance in formulation execution and lab practices. Maintain a clean, safe, and well-organized lab environment, including routine equipment cleaning and maintenance. Qualifications Bachelor's degree in Food Science, Product Development, or a related field and 5+ years of hands-on formulation experience in a food and beverage product development role. Strong understanding of food technology, ingredient interactions, and functional systems across a variety of product categories. Demonstrated R&D and formulation experience with beverages, powders, functional ingredients and protein. Excellent client management and communication skills - able to translate technical work into clear, actionable updates. Ability to work effectively both independently and collaboratively within a cross-functional team. Highly organized with strong analytical and documentation skills. Comfortable managing multiple active projects in a deadline-driven setting. Bonus Qualifications Experience in low sugar, low calorie, functional and plant-based product development Familiarity with claim substantiation, regulatory compliance, and nutritional labeling Experience working with co-manufacturers or supporting pilot/scale-up runs What We Offer A mission driven company to help good people create great products and offering consumers more meaningful choices A dedicated, supportive and collaborative team culture A dynamic environment where science, creativity, and strategy converge The opportunity to work on and contribute to a diverse range of client projects with real-world impact Exposure to emerging brands and forward-thinking product concepts Competitive compensation and opportunities for career growth within a growing company

Job Description Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted and fine-tuned large language model (LLM) with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records (EMR). Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate the process of manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, and deploys medical logic with temporal sensitivity to match dynamically changing patient characteristics with complex clinical trial criteria during the exact window of time that a given EMR may qualify for study protocol criteria. Dyania Health is looking for Senior NLP Applied Scientists to help us transform the way in which machines process biomedical information and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, significant industry experience and a proven track record of delivery under tight deadlines. Individuals will be required to be in the office at least 3 days per week. Key Responsibilities: Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources Work closely with product, UX, and clinical teams to prototype and test new functionality Analyze performance results and convey your analyses to relevant stakeholders Conduct research, publish and present your findings at relevant scientific venues Requirements Required Qualifications: Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering) 4+ years of industry experience in designing, building, and deploying NLP models (note: internships and school work do not count) Experience in applying transformer-based deep-learning techniques to challenging NLP problems Fluency in Python and experience with Python-based ML frameworks such as PyTorch and HuggingFace Outstanding communication skills Preferred Qualifications: Publications in top-tier NLP conferences Experience with distributed ML frameworks such as DeepSpeed and FSDP Background in computational linguistics Team Culture: We lead with empathy for patients and our teammates We value small egos, self-awareness, and humility in our teammates We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.

Job Description Ordaos Bio is seeking a Scientist II to join our Drug Development team. This role is critical to expanding our in vitro screening, characterization, and validation capabilities across multiple therapeutic programs. You’ll play a key role in our NYC lab operations and will help advance our internal asset programs and pharmaceutical partnership projects through preclinical development. This is a hands-on position best suited for someone who thrives in fast-paced, dynamic startup environments and enjoys tackling new challenges at the edge of scientific innovation. The work is primarily on-site at our lab in SoHo, NYC (JLABS). The day-to-day for this role will include: Performing routine cell culture and primary cell isolation (e.g., PBMCs) Executing in vitro assays including flow cytometry, ELISA, Luminex, SDS-PAGE, Western blot, PCR, and others Supporting screening and QC of protein therapeutics using DSF, BLI, SEC, LC/MS Contributing to mammalian protein production Documenting all work using ELNs (preferably Benchling) and communicating results effectively to cross-functional teams Troubleshooting technical and methodological issues independently Collaborating closely with other scientists to meet shared goals across diverse therapeutic programs Requirements Bachelor’s or Master’s in a relevant biological science (e.g., Cell Biology, Immunology, Molecular Biology) 2-4 years of hands-on lab experience in industry or academic research settings Experience maintaining cultured cell lines and working with primary cells such as human PBMCs Demonstrated ability to troubleshoot methodological and technical issues independently ( Comfortable in a fast-paced, ambiguity-rich startup environment with shifting priorities Eager to learn, take on diverse challenges, and contribute across programs with varying goals and timelines Experience with both immortalized and primary cell culture Familiarity with protein characterization and in vitro assay development Strong attention to detail and ability to work independently Proficient in ELNs; Benchling experience is a plus Benefits Opportunity for ISO grants upon offer and milestones Competitive healthcare coverage through Blue Cross Blue Shield, dental and vision through Guardian Healthcare HSA (health savings account) program with maximum employer annual contribution 401k (traditional and Roth offered) with 100% match up to first 4% of pay 15 days paid vacation, in addition to 12 company paid holidays or floating holidays Free annual corporate membership to Citibike Monthly commuter benefits up to $130 4 weeks of paid "Compassionate Leave" for unforeseen or events that cause trauma or burden Salary Range: 90,000-110,000 annual base salary Ordaos is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Ordaos will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Job Description Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Research Scientist, you'll work alongside our founders and team members bridging biology and AI to develop AI systems capable of complex biological reasoning across multiple scales and data modalities. You will train and scale innovative multimodal AI models on large, diverse biological datasets across distributed GPU clusters You will innovate on cutting-edge machine learning algorithms to enhance model performance and biological understanding You will design and conduct experiments to validate the model's capabilities across a wide range of biological phenomena, from molecular interactions to complex cellular processes and beyond You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods Your work will span various advanced generative AI architectures, including transformers, diffusion models and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics or a relevant technical field You have a PhD with 2 years of research experience or equivalent experience with 4 years of research or industry experience in Deep Learning, Artificial Intelligence or other relevant fields You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR) You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) You have researched and developed deep learning and generative AI methods Who You Are: You have excellent problem-solving skills and the ability to quickly adapt to new challenges You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty You have excellent communication skills and can clearly articulate complex technical concepts You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points You have experience applying machine learning to biological or chemical problems You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, or cheminformatics or related fields You have experience with multi-modal learning You have contributed to open-source machine learning projects You have experience in developing efficient code in C/C++ Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking. You own your day-to-day management. What we care about is that we all hit our milestones. Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark! Compensation Range: $120K - $250K

Job Description Title: Machine Learning Applied Scientist (Founding Team) About the Company Our client is a well funded, research-driven private equity firm focused on transforming the financing of natural resource projects—starting with mining. With $2.2M raised from Village Global at the idea stage, the team is pioneering a new model that combines deep domain expertise in Earth sciences with cutting-edge AI/ML capabilities. The opportunity is massive: the natural resources market lacks institutional risk capital and digital innovation. This company is poised to become the KKR or Blackstone for physical asset investing—leveraging AI, satellite imagery, economic models, and geological data to identify and underwrite high-value opportunities globally. The Role As the first Machine Learning Applied Scientist on the founding team, you'll serve as the technical backbone for our data and modeling capabilities. You'll work closely with geoscientists, investment professionals, and software engineers to architect, prototype, and deploy models that help us evaluate natural resource projects at a global scale. This role blends frontier machine learning with practical implementation—solving high-impact real-world problems in areas ranging from remote sensing and geology to environmental sustainability and asset underwriting. Responsibilities Build and deploy machine learning models that power decision-making in asset evaluation, risk assessment, and project optimization Design and own data pipelines that ingest, process, and analyze multi-modal datasets including satellite imagery, geospatial data, sensor streams, and third-party reports Collaborate closely with geologists and investment analysts to translate raw scientific and commercial inputs into structured, predictive outputs Develop experimental models for reserve estimation, cost forecasting, environmental impact, and other economic or scientific factors Evaluate the feasibility of custom LLMs, agentic workflows, or reinforcement learning in support of key business goals Lay the foundations for scalable ML infrastructure and reproducible research frameworks Qualifications PhD or MS in Machine Learning, Computer Science, Applied Math, Physics, or related field 3–7 years of experience in applied ML, ideally with exposure to complex unstructured data problems with geospatial analysis, simulation, remote sensing, healthcare data or industrial AI being a plus. Experience building production-grade models using tools like Python, PyTorch, TensorFlow, XGBoost, or similar Strong grasp of statistics, probabilistic modeling, and experimental design Comfort working in ambiguous, fast-moving environments with limited supervision Interest in natural resources, climate resilience, or emerging markets is a strong plus Why Join Be a Co-Founder: This is a rare opportunity to join at inception and build technology that shapes investment outcomes in real-world economies. Incredible Team: You'll work alongside leaders who’ve run high-impact global orgs (World Economic Forum, Saudi PIF) and made billion-dollar discoveries in geology. True Impact: Your models won't just live in notebooks—they’ll directly influence how capital is allocated to critical infrastructure and emerging economies. Adventurous Mission: Work between NYC, London, and field sites across LATAM, Africa, and Central Asia, tackling problems no one else is solving. Ownership: The team is offering equity in the fund for this particular position.

Job Title: Scientist - Gatorade Sports Science Institute Duration: 12 months (07/07/2025 - 07/06/2026) Schedule: Monday-Friday, 7AM-5PM (Flexible) Support clinical research studies related to hydration and nutrition at Client's Gatorade Sports Science Institute. Responsible for handling and analyzing biological fluid samples, maintaining lab equipment, and ensuring high research standards. Key Requirements: Master's degree in Biochemistry or related field 2+ years lab experience (including M.S. research) Strong skills in wet lab techniques (e.g., pipetting, ELISA, ion chromatography) Organized, self-motivated, and flexible with working hours

About Us: At the Center for Food as Medicine, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $242,000.00 - $283,000.00 What's the role? As a Staff Applied Scientist II on Etsy's Search Ranking Team, you will play a pivotal role in developing and optimizing algorithms that determine the relevance and ranking of listings in our search engine. You will leverage advanced machine learning techniques to analyze user behavior, item attributes, and contextual data to ensure that buyers find the most relevant products and have delightful shopping experience. This role involves collaborating closely with fellow applied scientists, machine learning engineers, product managers, and analytics partners to drive data-driven decisions and implement scalable solutions that enhance the search experience. This is a full-time position reporting to the Engineering Manager. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy? Search Ranking Team is a dynamic and collaborative group of passionate individuals dedicated to improving how buyers discover unique items on Etsy. We own the systems that power Etsy Search Ranking-responsible for how listings are ranked, evaluated, and optimized across the marketplace. Our responsibilities include: Designing, building and maintaining the ranking systems that power Etsy Search operating at massive scale across diverse buyer intents. Evolving ranking stacks using state-of-the-art ML models, including neural architectures, learn to rank models, representation learning, natural language understanding, and multimodal modeling, to drive more personalized and relevant search results. Applying multi-objective optimization to balance key business and user outcomes such as relevance, engagement, seller diversity, and long-term marketplace health. Monitoring marketplace signals to ensure search innovations align with Etsy's mission and support sustainable growth. What does the day-to-day look like? You will conduct applied ML research to leverage the latest advancements to innovate and improve Etsy's search system. You will prototype, optimize, and productionize scalable ML models in the production framework. You will design and execute both offline evaluations and online A/B experiments to ensure model effectiveness and impact. You will work with cross-functional teams and partner with product and stakeholders to prioritize and lead projects that align technical solutions with company goals and product objectives. You will mentor and support junior team members to help them produce high-quality machine learning solutions. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: Deep ML Expertise: Significant industry experience in Applied Science or Machine Learning, with a proven track record of delivering impactful solutions in eCommerce or in related areas such as search, recommendation, or advertising. Search & Ranking Specialization: Proven success designing, implementing, and optimizing large-scale systems using techniques such as learning-to-rank (LTR), representation learning, and relevance optimization modeling. Production-ready ML Engineering: Strong hands-on experience deploying ML models at scale, including model serving, monitoring, end-to-end feature development and experimentation pipelines. Collaboration & Technical Leadership: Track record of driving cross-functional projects, mentoring junior team members, and aligning technical work with strategic product goals. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Meta's products give people the power to build community and bring the world closer together. The Meta Health team supports this mission in the discovery, development, and delivery of clinically validated health products that have the potential to improve both individual and public health outcomes- at Meta scale. We are seeking a Sleep Health Scientist to join our team to develop and execute digital health projects aimed at empowering people to live healthy lives throughout the world. In this role, you will work in interdisciplinary teams of clinical researchers, product managers, engineers, analysts, to plan and execute research and validation of novel digital approaches for measuring and improving sleep health. You will deliver high quality work in a fast-paced, product-minded environment. **Required Skills:** Sleep Health Scientist Responsibilities: 1. Design and implement studies for primary data collection, with the goal of building and validating machine learning models 2. Engage directly with data collection to develop and implement best practice data quality methods, including site visits as needed 3. Ensure that data quality meets the requirements needed for robust product development 4. Oversee scoring and interpretation of sleep-related study results, such as PSG 5. Collaborate with quantitative scientists and machine learning engineers to extract insights from complex data sets 6. Work closely with cross-functional teams across the entire product lifecycle to drive development 7. Prioritize tasks in a fast-paced environment with time-sensitive deadlines **Minimum Qualifications:** Minimum Qualifications: 8. MD and/or PhD board certified in sleep medicine, with 10+ years experience 9. Experience in data review for quality assurance and sleep study interpretation, including tasks such as manual review, annotation, and labeling 10. Experience in health optimization for sleep wellness and in the diagnosis and management of sleep disorders (e.g. sleep disordered breathing, insomnia, circadian rhythm disturbances) 11. Expertise in sleep study design and methodology (e.g. polysomnography) for digital product development 12. Proficient in interpreting complex data analysis results in order to build products that help users understand and improve their sleep health 13. Relevant clinical and/or research and/or product experience in sleep health / sleep outcomes 14. Proven understanding of study design and methodology, including experimental design and observational studies 15. Collaboration experience with cross-functional teams 16. Familiarity with digital health and/or consumer health sleep technologies 17. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience **Preferred Qualifications:** Preferred Qualifications: 18. Understanding of lifestyle and behaviors on human physiology 19. Experience with human subjects research IRBs and/or regulatory submissions for digital health technologies and/or innovative medical or health devices 20. Prior experience in health technology, digital medicine, consumer health and/or innovative sleep technologies **Public Compensation:** $177,000/year to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders exploring the boundaries of how artificial intelligence can benefit humanity. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we're rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we're just getting started. How you will contribute: As a Machine Learning Scientist at Arena, your responsibilities will include developing ML systems that power closed loop automated decision making for large enterprises. Our technology encompasses large transformer based models that feed multi-modal data in addition to Reinforcement learning based smart exploration/exploitation systems. Your work will span the spectrum from quick exploratory/experimental models to scaled, production processes. Your work may start from simple models, but the ultimate goal is to push the boundaries of what is scientifically and technically possible, and share those advances with the greater scientific community via publication and/or open source. Required qualifications: Working full time in our office in NYC Model training, deployment and maintenance experience in a production environment Strong skills in deep learning and related frameworks (ie. Pytorch, Tensorflow, DeepSpeed, Ray, Pytorch Lightning) Experience in dealing with high performance, large scale ML systems Strong high-level programming skills and passionate about good engineering, clean code, scalability Deep passion for AI and building machine learning systems Interested in the full ML stack from initial R&D through deploying models into production Strong written and verbal communication skills to operate in a cross functional team environment It would be great if you have: Experience with active learning, reinforcement learning, causal inference and/or online learning approaches Expertise in experimental design and Bayesian uncertainty estimation Benefits: 99% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Laptop and monitor provided The base salary range for this position is $135,000 - $200,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

The Company You'll JoinAt Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. Our cutting-edge Taste AI™ technology analyzes vast amounts of data-over half a billion records spanning public figures, places, and cultural entities-to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts through the noise to reveal the signals that matter. And we do it without relying on personally identifiable information. Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information. Following our Series C funding, we're growing our team to expand our reach and continue redefining what's possible with Taste AI. This role will be instrumental in driving that next stage of growth. Read more about our Series C funding here. What it's like to work at QlooAt Qloo, we're building AI solutions that power personalization for some of the world's greatest companies, but we're just as committed to fostering an exceptional workplace. Here, curiosity is key. We thrive on tackling tough challenges, continuously pushing the boundaries of what's possible. We value autonomy and ownership, empowering team members to take initiative and drive impact. Our team is small but mighty, meaning every role here matters. Collaboration is at our core, and we believe that diverse perspectives make for better solutions. We also know that great work comes from people who feel supported-whether that's through professional growth opportunities, a flexible and inclusive environment, or simply sharing ideas over our Thursday team lunches in Soho. But don't just take our word for it:“The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued.” - Sreekant, VP of API Engineering The team you'll work with:Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have:As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely with software engineers, data engineers, and other teams to integrate ML models into production systems, aligning with business requirements. Model Performance Monitoring & Improvement: Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines. Experimentation & Innovation: Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions. Continuous Learning: Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques. To be a successful match you must have: 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning principles, including model evaluation, optimization, and deployment best practices. Self-motivated, collaborative, and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment. Excellent communication and interpersonal skills, capable of bridging technical work with business applications. Experience with model monitoring frameworks and A/B testing. Familiarity with cloud environments (e.g., AWS, Google Cloud) and deployment of ML models at scale. Exposure to startup or high-growth company environments. What we offer: Potential equity package Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee 4% 401K matching 20 paid time off days 5 paid sick days 12 weeks of paid parental leave 10+ annual company holidays Opportunities for professional development and growth within a dynamic environment A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired $130,000 - $160,000 a year We are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level. Join us At Qloo, we're building the future of consumer intelligence. If you're excited about AI, passionate about helping businesses understand their audiences, and ready to make an impact, we'd love to hear from you.

JobID: 210629713 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $164,350.00-$260,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities * Conduct end-to-end research typically within Natural Language Processing (NLP) * Collaborate with internal and external researchers and with applied engineering teams * Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research * Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals * Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science or related field or a MS with at least 3 years of experience in the field * Research publications in prominent NLP venues; e.g., conferences, journals * Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding * Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. * Proficiency with rapid prototyping and disciplined software development processes * Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills * Extensive programming skills in Python, Java or C++ * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

- Under the supervision of a project leader or a senior scientist, perform laboratory work to support scientific discovery programs related to skin biology - Conduct in vitro experiments on 2D cells, 3D reconstructed skin or ex vivo human skin - Micro-dissection of human skin biopsies - Conduct immunohistochemistry experiments and biological assays - Work cross functionally with analytical teams and formulators in order to design and run experiments. - Manage, collect, analyze, summarize, upload to internal databases and report high quality data in a timely manner - Manage laboratory operations in terms of ordering, organizing and supply managements Job Qualifications - MS degree in Biology, Biotechnology, Biomedical Sciences or related fields with a minimum of 2 year hands-on experience in a laboratory setting - Required to have experience in culturing and setting up test systems using human keratinocytes and fibroblasts - Required to have excellent tissue culture and sterile technique. Experience with handling human tissue samples is a plus - Required to have experience conducting multiplex ELISA as well as general ELISA assays - Required to have 2 year experience in immunofluorescence, IHC and PCR methods - Ability to design antibody panels for multi-color flow cytometry - Experience in microscopy imaging techniques is required - Understanding of skin and skin appendage morphologies is a plus - Knowledge of skin wound healing biology is a plus - Basic understanding of next-generation sequencing technologies is a plus - Proficient in writing function SOPs/Working Practices - Strong communication, presentation and project management skills - Must be self motivated and collaborativ

The Formulation Scientist plays a pivotal role in researching, generating, and directing new product formulations from conceptualization through development and manufacture. This position requires collaboration with sales, operations, and quality assurance teams to create innovative products that meet customer needs. Responsibilities * Research and develop new product formulations. * Collaborate with sales to create new formulations and assist in product development. * Work with operations teams to troubleshoot technical and processing issues. * Develop proper documentation for new formulas in collaboration with the Quality Assurance department. * Utilize knowledge of production equipment to solve product performance issues. * Address challenges with tablet and capsule production, ensuring processes like coating and packaging are successful. * Initiate label copy for supplement facts and regulatory requirements. * Drive, manage, and evaluate all aspects of product development. * Integrate consumer insights into product innovations. * Collaborate with sales and marketing to develop product quotes. * Source and identify new concepts, ingredients, and product forms. * Maintain competitive knowledge of new technologies and product forms. * Prepare and present materials for new product launches at sales meetings. * Participate in product and package configurations. * Develop recipes and prototypes to advance new concepts. * Follow all company standard operating procedures (SOPs). * Adhere to quality control protocols to prevent cross-contamination and ensure product quality. * Communicate technical information effectively to non-technical audiences. * Engage in PR, media interviews, and trade shows with management approval. * Prioritize and manage multiple customer products. * Perform other duties as assigned. Essential Skills * Bachelor's Degree in Chemistry, Engineering, Food Science, Nutrition/Dietetics or related field. * Minimum of three years' hands-on experience as a Formulator in a manufacturing environment. * Strong working knowledge of lab techniques and cGMP standards. * Experience in product and formula development and evaluation. * Knowledge of ingredient costing and technology. * Ability to interpret safety rules, operating instructions, and procedure manuals. * Proficient in basic arithmetic and statistical methods. * Strong documentation skills for manufacturing activities. * Effective communication skills, both oral and written. * Presentation skills to communicate product ideas persuasively. * Ability to work in a cross-functional team environment. Additional Skills & Qualifications * Familiarity with computer software, including word processors and spreadsheets (e.g., Microsoft Word). * Strong leadership skills and sound judgment. * Attention to detail and thoroughness in documentation. * Ability to prioritize effectively and manage tasks. Work Environment The role requires the ability to lift up to 50 pounds unassisted, or up to 100 pounds with mechanical assistance. It involves standing, walking, bending, and stooping for periods of five hours or more, and requires normal visual acuity. The position demands strong organizational skills and the ability to prioritize tasks effectively. Pay and Benefits The pay range for this position is $30.00 - $40.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Fairfield,NJ. Application Deadline This position is anticipated to close on Jul 11, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.