Senior scientist jobs in North Hempstead, NY

Reality Labs at Meta is seeking a Research Scientist with experience in machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us. **Required Skills:** Machine Learning Research Scientist - IC7 - Neuromotor Interfaces Responsibilities: 1. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface products 2. Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences 3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda 4. Develop research-grade code for deployment in research prototypes 5. Work across organizational boundaries to solve our biggest problems **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in one of the following fields: artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields 8. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas) 9. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly **Preferred Qualifications:** Preferred Qualifications: 10. 8+ years of experience in designing, executing, interpreting, and presenting ML research 11. Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people 12. 4+ years of experience as technical lead for a project of 4 or more individuals 13. Experience bringing machine learning-based products from research to production 14. Experience with interdisciplinary collaboration 15. Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities 16. Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics 17. Experience with real-time signal processing 18. Experience with large scale cluster computing for machine learning modeling 19. Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration 20. Experience in software engineering in industry 21. Experience with scientific communication tools (Jupyter, Matplotlib) **Public Compensation:** $213,000/year to $293,000/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.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: This position offers an opportunity to work in a highly-collaborative environment with world-leading scientists developing and applying state-of-the art profiling technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing advanced molecular analyses on a diverse set of clinical and experimental samples. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills. Location: New York City (On-site role) What will you do? * Augment efforts of teams using a wide range of techniques including, but not limited to immune cell isolation and processing from human specimens, cell cultures and in vitro model systems * Domain expert with single cell genomics methods, and proven experience of innovation in this field (sample optimization, protocol development). * Operation, calibration and maintenance of flow cytometers, cell sorters and related equipment and associated computational hardware * Maintenance of a complete, accurate, and timely electronic record of all experiments using an informatics management system. * Active participation in cross-functional team meetings and effective communication with other members of the lab, computational biology, and software team * Expected to deliver impactful presentations to other colleagues including senior leadership Requirements Required qualifications: * 4-6 years of experience in Molecular Biology or Immunology; * MS with 2-4 years relevant experience, PhD with 1+ years of post-PhD experience is preferred. * Experience with protocols for sample and library preparation for single cell multiomics and familiarity with NGS processes. Additionally, familiarity with high-throughput, automated single cell profiling workflows is preferred. * Experience working with tissue samples, including single cell dissociation. * Experience with sectioning, staining (immunohistochemistry, fluorescence microscopy, in situ hybridization), imaging and basic image analysis is a distinct advantage * Familiarity with high throughput lab data management (e.g. Benchling) * Strong analytical skills, problem solving ability, and innovation aptitude required * Must be willing to discover and learn new software and technology applications quickly * Must have strong attention to detail and an ability to multitask * Ability to collaborate closely with interdisciplinary individuals from a broad range of backgrounds * Ability to work independently with minimal supervision * Ability to work successfully in a fast-paced environment * Excellent interpersonal skills and ability to effectively work as part of a team are essential * Excellent organization and time management skills Desired personal traits: * You want to make an impact on humankind * You prioritize "We" over "I" * You enjoy getting things done and striving for excellence * You collaborate effectively with people of diverse backgrounds and cultures * You have a growth mindset * You are candid, authentic, and transparent Compensation: This position offers a salary typically between $105,000 - $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills. * Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform SparkHire. You can read more about how we process personal data here: ***************************************

Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for Research 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, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering) 2+ years experience in building and deploying ML models 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 Outstanding communication skills Preferred Qualifications: Publications in top-tier NLP conferences Background in classical computational linguistics Experience with Java (or Kotlin/Scala) and/or a functional programming language 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 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.

Associate Scientist - Chemical & Process Sciences Join us as an Associate Scientist, Chemical & Process Sciences, where you'll independently conduct and analyze lab experiments, collaborate on process scale-up, and drive innovation in a safety-focused, growth-oriented environment. Ideal for hands-on chemists passionate about process improvement and teamwork in a sustainable, leading-edge company. **Your Key Responsibilities:** + Plan and design experiments in alignment with supervisor guidance. + Set up and operate laboratory equipment-including glassware and high-pressure reactors-largely independently to conduct experimental procedures. + Analyze samples using gas chromatography (GC) and wet chemistry analytical techniques. + Compile, interpret, and present experimental data to the supervisor. + Interact with production personnel (operators, shift leaders) as needed during process industrialization and troubleshooting. + Maintain overall laboratory housekeeping, ensuring a safe and organized work environment. + Manage timely ordering and proper handling of laboratory supplies. **We Bring:** + A rich history and a promising future of bold scientific innovation and passionate creation with our customers; + A space to grow by encouraging and supporting curiosity and an open mindset; + A culture that prioritizes safety and well-being, both physically and mentally; + The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose; + An eagerness to be one team and learn from each other to bring progress to life and create a better future; + We offer competitive pay, career growth opportunities, and outstanding benefit programs. **You Bring:** + M.S. in Organic Chemistry or a closely related field with at least 1 year of industrial experience, B.S. degree in Chemistry with at least 3-5 years of industrial experience will be considered. + Exceptionally qualified new graduates will also be considered. + Hands-on experience in synthetic chemistry and separation operations, such as fractional distillation, is required. + Curious and open-minded, with excellent communication skills and a team-player spirit + Ability to work largely independently, with strong organizational skills, the ability to set priorities, and a results-oriented approach + Passion for process improvement and precision + Background in industrially relevant organic chemistry + Good written and oral presentation skills + Strong interpersonal skills and a collaborative attitude The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000-$139K. **About dsm-firmenich** At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we **go beyond, together** . **The application process** Interested in this position? Please apply online by uploading your resume in English by December 15, 2025. **Inclusion, belonging and equal opportunity statement** At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. **Agency statement** We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

& Sons: Schweid & Sons is a family-owned and operated premium ground beef company with a proud heritage spanning four generations. We supply top-quality beef to Retail, Foodservice, and National Account customers across the U.S. and are committed to quality, customer service, and innovation in protein manufacturing. Summary: Are you a creative and driven professional with a passion for developing innovative premium protein products? Schweid and Sons is looking for a Food Scientist to add to our team. Reporting to the Director of Innovation, you will lead innovation and product development projects and initiatives, formulation, process improvement, ingredient, recipe and nutritional development, and provide food science strategy and guidance to take the company into the future. This role focuses on developing, improving, and ensuring the safety and quality of premium protein products, from fresh cuts to processed meats. The ideal candidate will have an understanding of meat science, food safety regulations, and product development processes within the beef and other protein industries. To be successful in this role, you must have strong food science, product development experience in protein, ability to improve and build repeatable processes, experience in meat operations, and knowledge of regulatory requirements. You should be comfortable leading key projects, working independently to ensure deadlines are met while balancing priorities. This is an incredible opportunity to join a well-established food manufacturing company that prides itself on putting its team members first by providing an incredible culture, amazing benefits, and commitment to innovation. Job Functions /Responsibilities: * Manage innovation projects, communicate, and coordinate with internal stakeholders as well as customers. Research and develop new products, including raw, fresh, cooked, cured, and value-added items. * Improve existing products in terms of taste, texture, shelf life, yield, and nutritional profile. * Design and conduct experiments on meat formulations, marination, cooking processes, and preservation techniques. * Organize sensory panels and conduct rigorous product testing to ensure we deliver a great tasting product. * Ensure all products comply with USDA, FDA, HACCP, and company food safety standards. * Conduct shelf-life testing and sensory evaluations of beef products. * Analyze raw materials and finished products for microbial, chemical, and physical properties. * Collaborate with procurement, QA, production, and marketing teams to bring new products to market. * Monitor trends in meat science, consumer preferences and processing technologies. * Prepare responses to customer inquiries with adequate scientific and technical evidence and provide solutions. * Complete the verification of the implementation of standard operating procedures for the laboratory or kitchen facilities. * Responsible for maintaining accurate records of formulations, procedures, and processes in appropriate software systems and platforms. Qualifications / Experience: * Bachelor's degree in Food Science or related field or equivalent experience. * USDA, FDA, HACCP and SQF experience. * 3 - 5 + years of Food Science in the protein category required. * 2 + years related protein experience required, preference for beef experience. * Food/nutrition manufacturing experience required. * Fundamental understanding of regulatory compliance and nutritional calculation software. * Understanding of daily lab and production processes. Expertise in raw material handling and stability. * Ability to independently formulate products based on consumer and customer requirements, identifying potential issues and promptly alerting managers or customers. Experience in food concept development and prototype improvement. * Some culinary and recipe development experience is a plus. * Able to effectively analyze data to develop presentations and reports. * Must be proficient in the use of Microsoft Office (Excel, Outlook, Word, and PowerPoint). What We Offer * The expected compensation for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process. * Time Off: PTO, Safe & Sick Time, and Paid Holidays. * Health Benefits: Medical, vision, dental, HRA and voluntary disability benefits. * Financial Benefits: 401(k) + employer match and life insurance. * Location: This is an on-site role located in either East Rutherford, NJ or College Park, GA. * Environment: Office environment.

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)

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity As an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission Lead and develop our generative foundation models in materials discovery. Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team. Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production. Develop rigorous benchmarks to validate and test the performance of our models. Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. Tackle challenging problems with new and different ideas, creativity and contrarian thinking. Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation. About you Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on deep learning and generative models. At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science. Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching. Demonstrated experience in designing and running large-scale experiments in AI and machine learning. Passionate about leveraging ML for science related problems and a commitment to doing world-class research. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Strong publication record in top-tier AI/ML conferences or journals. Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively. Pluses Prior experience in transitioning AI research into production environments. Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences. What we offer A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. $100,000 - $300,000 a year + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Research Scientist, ML Systems (HPC & Systems Optimization) New York, NY (Hybrid, 3 days in office) Highly competitive compensation package Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex problems in any industry. Their teams are composed of passionate, first-principles thinkers who operate in one of the world's most demanding high-performance computing environments. We are seeking a visionary systems specialist to join them and re-engineer the fundamental building blocks of their machine learning models, enabling the next generation of quantitative research. The Role We are seeking a specialist with a Ph.D. for a unique role that sits at the deep intersection of ML algorithms and high-performance hardware, much in the vein of researchers like Tri Dao. This is not a typical ML position. It's a role for a true systems builder who can optimize the core computational mechanics of complex models through low-level, hardware-aware development. You will have the autonomy and resources to dive deep into the stack, profile performance bottlenecks, and write highly optimized code to push the boundaries of what's possible on the latest hardware. Responsibilities Re-engineer the fundamental building blocks of complex machine learning models to achieve massive performance gains. Design and implement novel numerical algorithms in C++ and CUDA to accelerate model training and inference. Profile and analyze deep learning workloads to identify and solve non-obvious performance bottlenecks across the entire system, from the CPU to the GPU and interconnect. Collaborate with world-class quantitative researchers and engineers to co-design and implement the next generation of ML systems and infrastructure. Stay at the cutting edge of academic and industry research in HPC, computer architecture, and ML systems. Who we're looking for A Ph.D. in Computer Science, Electrical & Computer Engineering, Physics, or a related technical field with a strong publication record. Deep, hands-on expertise in high-performance computing (HPC) and parallel programming models (e.g. CUDA, MPI, OpenMP). Expert-level proficiency in C++ for performance-critical development. Demonstrable experience in low-level systems optimization, performance profiling, and identifying hardware bottlenecks (e.g. memory bandwidth, latency). A background in optimizing numerical algorithms, computational mechanics, or compiler technologies is a significant plus.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • The individual will perform complex synthesis and purification of biomolecules and derivatives as well as conduct characterization assays. • The individual is also expected to participate in team meetings, provide update and contribute to planning activities to achieve program deliverables. • Interaction with other groups/departments is expected. • Bench level experience with protein purification, synthetic organic chemistry and/or protein isolation, purification is expected. Qualifications BS Additional Information For more information, please contact Akriti Gupta ************** Morristown, NJ 07960

Biophysical Assoc Scientist needs 2+ years experience Biophysical Assoc Scientist requires: College degree in science related field or equivalent laboratory experience. Proficient MS Excel, Word, PowerPoint and File Explorer Ability to learn and develop comfort with various instrumentation software. Careful adherence to established procedures and proposed experimental design. Detail oriented and manual dexterity when working with instruments and samples. Demonstrating integrity in performing tasks to produce repeatable data. Excellent organizational and communication skills. Biophysical Assoc Scientist duties: Collects samples and prepares hair swatches to perform methods adhering to a set procedure. Performs technical procedures to measure product performance on hair with variety of lab equipment. Analyzes data, performs statistical calculations, and draws conclusions to substantiate claims.

The qualified candidate will join the Analytical R&D organization and will contribute to the development of biological therapeutics. Within Analytical R&D, the candidate will provide the analytical testing support for the Conjugation Process group. The qualified candidate will be responsible for general laboratory support. A knowledge and awareness of mechanism of action and the impact of structure on function for bio therapeutic products is desirable. Some experience in colorimetric assays and protein analytical and applying a broad range of analytical techniques (HPLC, CE, Spectroscopy, etc.) is required. A good understanding of chemistry/biochemistry and macromolecule analytics is required. Good communication and writing skills is required. Responsible for general laboratory and operational support. Including providing logistical support for samples and compounds management, ordering supplies and carrying out general bench work activities. Qualifications Only BS degree in Chemistry or Biochemistry Additional Information

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts. You can expect to: Design and implement state-of-the-art machine learning techniques to advance Layer Health's research agenda (in areas such as information extraction, multimodal reasoning, and summarization). Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. Collaborate with the broader engineering team to ship performant products that meet user needs. Cultivate and foster a robust and thoughtful R&D culture that drives the company forward. We look for: Exceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. High-impact, early-author publications at top peer-reviewed ML journals/conferences. Demonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations. Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax). Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques). A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Past experience in healthcare of life sciences is a plus, but not required. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Join us and help us transform healthcare with AI.

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generating ideas for new molecules Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry Build and optimize scalable infrastructure for model training, deployment, and monitoring Engage directly with our scientific users, incorporating their feedback into the product Contribute meaningfully to product strategy and company direction Who you are: You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud You are excited to dive deep into the science and practice of drug discovery You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

Scientist II, Immuno-Oncology FUNCTIONAL AREA: REPORTS TO: Team Leader EXEMPT/NON-EXEMPT In the Immuno-Oncology team, we are looking for an enthusiastic, inventive and team-oriented scientist to join us in the creation cutting-edge cellular treatments for cancer and other serious diseases. We are looking for colleagues with a strong background in one or multiple areas including: Immuno-Oncology, Oncology or Immunology, and who possess strong expertise in T-cell biology, intricate multicolor flow cytometry, and in vivo mouse models. The ideal candidate would have a remarkable scientific record, excellent communication and interpersonal abilities, be passionate about scientific research, and excel at pushing boundaries for innovation. We value candidates who are adept at problem-solving and approach difficulties with optimism. The chosen individual will join a dynamic, creative and goal-oriented atmosphere dedicated to making impactful advances in the way we treat disease. Responsibilities Responsibilities include, but are not limited to: Develop innovative adoptive cell therapies to treat cancer or other serious diseases. Design, execute, and analyze in vitro experiments (some examples include engineering of CAR T-cells, cytotox, ELISA, proliferation assays, flow cytometry analysis, cell culture). Design, execute and analyze in vivo preclinical studies (some examples of procedures include tumor implantation, adoptive cell therapy administration, mice dosing through different administration routes, tumor monitoring, blood collection and multiple tissue analysis). Efficiently and clearly present and communicate scientific data to the team, cross-functionally and at external meetings. Pro-actively suggest and evaluate innovative cell engineering solutions and develop new assays to enhance the company's intellectual portfolio and contribute to peer-reviewed publications. Stay up to date with external scientific research from academic and industry institutions. Keep timely detailed documentation of experiments. Effectively plan and manage projects and deliverables to meet deadlines. Foster cross-functional collaborations and train other colleagues. Prioritize company objectives and work towards shared success. Other duties as necessary to ensure the daily operations of the lab and support the team. Core Competencies Keen eye for detail, exceptional problem-solving abilities, and a commitment to producing robust and high-quality scientific data for internal/external reports, publications and IND-enabling studies Strong scientific creativity and analytical thinking skills. Curiosity and drive to initiate and advance programs to treat diverse important diseases. Excellent written, oral and interpersonal communication skills. Capable of adhering to SOP and develop new protocols. Works well autonomously and collaboratively with other team members and cross-functionally. Flexibility and ability to adapt positively to a dynamic environment with changing priorities. Pro-active, transparent and adaptable team-player with a professional demeanor who works well under pressure. Comfortable operating in a fast-paced, small-midsized company environment. Requirements PhD in oncology, immunology, or equivalent (minimum of 3 years of experience after PhD in related role). Experience in human T-cell biology, immuno-oncology and knowledge in cell engineering technologies. Hands on experience and troubleshooting proficiency in immunology assays including immune cell isolation, multicolor flow cytometry, immune cell and cytokine profiling assays using conventional and next-generation analytical methods. Demonstrated experience designing and executing mouse tumor model experiments including mouse handling (injections- IV, SC, IP- and organ dissection). Excellent abilities to analyze and synthesize data for different audiences and report types while supporting decision-making processes. Proficiency in molecular biology as well as analyzing and manipulating DNA/protein sequences using bioinformatics software is desired. Basic knowledge of gene editing and next-generation sequencing technologies is a plus. Experience in working in matrixed environments and in project management is desired. Strong record of scientific publications and demonstrated scientific curiosity. Willingness to quickly adapt, innovate, discover new approaches, collaborate and support the team towards shared company goals. Candidates should be authorized to work in the U.S., preferably without the need for current, or future, sponsorship. Role is onsite and based in New York, NY Physical Requirements Sedentary - primarily involves sitting and/or standing. Laboratory work performed within a BSL1 and BSL2 environments. Communicates with others daily to exchange information. Salary Range (105,000 to 115,000 USD), dependent on skills and experience

Job DescriptionCareer Renew is recruiting for one of its clients an ML Scientist - Crypto - this is a fully onsite role for New York or London based candidates. Salary range: 250-300K USD yearly plus benefits. What You'll Do As a Machine Learning Scientist, you'll be instrumental in leveraging AI and machine learning techniques to shape the future of our platforms and beyond. You'll work alongside world-class engineers and product teams to drive the development of sophisticated algorithms that power features like personalization, recommendations, search, and real-time decision-making. Design and develop machine learning models to improve the platform's user experience, enhance predictive capabilities, and drive smarter interactions. Help building scalable data pipelines and leverage large datasets to create actionable insights that inform product development. Help developing and optimising machine learning infrastructure, ensuring our systems are scalable, efficient, and ready for production-level data and model deployment. Work closely with product teams to integrate machine learning models into the platform, ensuring seamless performance and real-time data processing. Monitor, optimise, and iterate on deployed models, ensuring they perform effectively in a live environment and adapt to evolving user needs. Collaborate with engineers and data scientists to tackle unique challenges, ensuring our platform can handle large-scale, decentralised data processing. Stay at the forefront of machine learning research and development, continuously bringing new insights and techniques to the table. Who You Are An experienced Machine Learning Scientist with a strong foundation in algorithms, data structures, or statistical modelling. Proficient in Python Hands-on experience in deploying models in production is desirable. Experience in maintaining machine learning infrastructure, including model deployment pipelines, model monitoring, and scaling systems for large datasets is a plus. Familiar with working in a high-performance, fast-paced environment, ideally with experience in high-growth startups or scaling tech companies. Passionate about leveraging machine learning to create real-world impact, with a keen interest in blockchain, crypto, and SocialFi technologies A problem solver who thrives on tackling complex challenges, willing to dive into new technologies and contribute to the future of decentralised applications. Highly collaborative, with the ability to communicate technical concepts to both engineers and non-technical stakeholders effectively. High-agency and ownership-driven, capable of leading projects end-to-end with minimal guidance. Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection, ship now, iterate later Ownership over bureaucracy -every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we Compensation & Package Base Salary + Tokens/Equity

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • ********************************************************************************************************************************** • **************************************************************************** • ************************************************************************************************************************ Key job responsibilities As an Applied Scientist, your day-to-day responsibilities will include: Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team. Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the team Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs). - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Teleskope is building the future of data security. Despite enormous growth in awareness and investment in data security, most companies still don't know where they are storing sensitive information and how to secure it. At Teleskope, we're building a modern and developer-friendly data security platform to automate data security and privacy at scale, from detection to remediation. About the role Teleskope is looking for an Applied NLP Scientist to play a critical role in the evolution of our remediation engine, which powers our data security and privacy platform. In this role, you will lead the development of agentic NLP systems that don't just detect risks in unstructured data but take proactive remediation and compliance actions directly within the Teleskope platform. You will design and build intelligent agents that operate across diverse enterprise data modalities (e.g., unstructured text, documents, tables, images), unifying extraction, prediction, and decision-making into action-oriented pipelines. This role involves working with massive datasets and building production-grade ML infrastructure that supports fast, reliable, and scalable inference for real-time remediation. This is a high-impact, in-office role based in NYC where you'll collaborate across engineering, product, and customer-facing teams to bring remediation-focused AI agents to life. What you'll do Own and evolve the Teleskope remediation and classification pipeline across multiple data modalities (e.g., text, documents, tables, images). Build and maintain agentic systems that unify information extraction with automated action-taking workflows. Apply modern NLP and LLM-based techniques for classification, clustering, summarization, and agent-driven decision-making. Define and build processes for evaluation, validation, and continuous monitoring of models and agents. Collaborate with product and engineering teams to integrate AI-driven remediation agents into customer-facing workflows. Stay on top of research and best practices in applied NLP, LLMs, and agentic architectures, contributing to the evolution of our ML stack. What you bring 4+ years of experience in applied NLP. Demonstrated success building and deploying LLM pipelines, agentic systems, or applied NLP models in production. Experience across the ML lifecycle: data preprocessing, model training, evaluation, and deployment. Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, or related field-or equivalent experience. Excellent communication and collaboration skills. Must be based in New York City-this is an in-office role. What you'll get An opportunity to join an early stage startup in one of today's fastest growing markets Space to build impactful features and own projects from start to finish Room to learn, grow, and rapidly advance in your data scientist career A beautiful, well-stocked office in NYC's Financial District Competitive salary and meaningful equity Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope What we value At Teleskope, we value technical excellence, practical execution, and a strong sense of ownership. We're looking for team members who bring domain expertise and a passion for shipping impactful ML solutions that meet real-world privacy and security needs.