junior research scientist

New York University Abu Dhabi

<div>
 The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) seeks to recruit a Junior Research Scientist to support innovative clinical and translational research on brain health and disease in diverse populations within the UAE and wider MENA region.
 
 
 The successful applicant will play a central role in the day-to-day execution of human-subjects research studies, working within a multidisciplinary team of faculty investigators, research assistants, clinicians, and students. The position involves coordinating clinical and observational research protocols that integrate advanced neuroimaging, neuromonitoring, and behavioural methods, with a strong emphasis on regulatory compliance, participant safety, and high-quality data collection.
 
 
 Key responsibilities include coordinating participant recruitment and workflow (pre-screening, informed consent, scheduling, and follow-up), maintaining regulatory and ethics documentation, liaising with clinical partners and imaging facilities, and overseeing clinical aspects of MRI, EEG, and MEG sessions. The Junior Research Scientist / Clinical Coordinator will also contribute to the development of standard operating procedures, support training of research assistants and students, track study progress and recruitment metrics, and assist with grant applications, ethics submissions, and progress reporting. The role works closely with dedicated neuroimaging and research assistants who focus on technical data acquisition, imaging pipelines, and analysis, while the Clinical Coordinator leads clinical governance and participant-facing workflows.
 
 
 Applicants must hold a Bachelor&rsquo;s degree in psychology, neuroscience, biomedical sciences, nursing, or a related field; a Master&rsquo;s degree or clinical qualification (e.g., nursing, allied health, clinical psychology) is strongly preferred. Candidates should have 2&ndash;3 years of experience coordinating human-subjects research or clinical trials, ideally in neurology, psychiatry, or related areas, and demonstrated familiarity with ethical and regulatory requirements for human research. Experience working with patient populations and/or in neuroimaging or neuromodulation environments (MRI, EEG, MEG, TMS) is highly advantageous. Fluency in English is required; knowledge of Arabic or other languages spoken in the UAE is an asset.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and three letters of reference, all in PDF format.
 
 
 If you have any questions, please email Dr. Kartik Sreenivasan at kks4@nyu.edu and Dr. Bas Rokers at br87@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Center for Brain and Health (CBH) – Dr. Kartik Sreenivasan and Dr. Bas Rokers

International Center for Biosaline Agriculture (ICBA)

<div>
 
 
 Job Summary
 
 
 
 ICBA is looking for a dynamic and results oriented Scientist &ndash; Integrated crop livestock systems , who will be a member of the Crop Diversification and Genetics (CDG) section and a team member of the Directorate of Program, leading integrated crop, forage, livestock and farming systems related research and development activities and projects across the directorate's two sections, CDG and Sustainable Natural Resources Management (SNRM).
 
 
 His/her major role will be to attract research support through external funding by developing attractive project proposals and liaising with donors to secure potential financial support. The farming systems scientist will conduct applied research to select conventional and alternative food and feed crops adapted to environments with excessive salt, heat, and drought stress to support integrated crop -livestock production systems, feed systems and range land management, and will help external projects as required. The systems scientist will participate in developing technology packages, including the best crop &ndash; forage management systems and operations that optimize nutrient use in arid and arid-saline soils and saline water resources. The incumbent will lead ICBA at various forums as needed to represent the center at national and international levels.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Strategic planning, designing and implementing advanced integrated crop -livestock, forage and range land farming systems strategies focused on optimizing crop, forage and livestock productivity in arid, saline, and stress-prone areas within the mandate of ICBA.
 </li>
 <li>
 Identify funding opportunities and lead the preparation of projects and proposals for submission including preparing the technical and financial components as well as identifying and liaising with potential national, regional and international partners.
 </li>
 <li>
 Leading systems research initiatives, conducting field and feed trials, and analyzing data to evaluate new food and fodder crop varieties and optimize crop- livestock interactions, and agronomic practices.
 </li>
 <li>
 Lead research on fodder and rangeland crops in arid and saline environments to support the livestock feed systems, climate resilient livestock production.
 </li>
 <li>
 Develop strategic partnerships with national, regional, and international organizations working on food, fodder and livestock systems
 </li>
 <li>
 Utilizing precision agriculture technologies and statistical methods to analyze field data, interpret results, and provide actionable insights and reports to program leaders, the Chief Scientist, and the management.
 </li>
 <li>
 Training, mentoring, and supporting junior field staff, students, and interns, fostering a culture of continuous improvement and knowledge sharing.
 </li>
 <li>
 Collaborating with cross-functional teams, farmers, and industry partners to translate research findings into practical applications and ensure compliance with environmental and safety standards.
 </li>
 <li>
 Interact and associate with other research programs for multidisciplinary research activities and participate as a team player in developing technical reports, extension materials, and publications in refereed journals.
 </li>
 <li>
 Assess the productivity, profitability, sustainability and environmental impacts of integrated crop-livestock systems using appropriate biophysical and socioeconomic indicators.
 </li>
 <li>
 Participate as needed and contribute to training programs, conferences, forums, media, ICBA publications and other appropriate fora as and when required to present ICBA innovations and increase its visibility.
 </li>
 <li>
 Perform other tasks assigned by the supervisor and management as per the requirements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 PhD in Agronomy, Agricultural Systems, Forage agronomy subject from a recognized University
 </li>
 <li>
 At least 5 years of post-PhD international work experience in integrated crop-livestock systems, cropping and farming systems, or related research Proven publication record in refereed journals
 </li>
 <li>
 Proven ability to initiate, conduct, and publish research and to obtain external grant funding
 </li>
 <li>
 Team player to work in a multi-cultural environment
 </li>
 <li>
 Fluency in written and spoken English, and well-developed presentation, negotiation and public speaking skills.
 </li>
 <li>
 Experience in statistics and database management
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Experience in crop, forage and farming systems modeling
 </li>
 <li>
 Experience on fodder, rangeland cropping and livestock feed system in water scarce environments
 </li>
 <li>
 Additional language skills like Arabic are highly desirable
 </li>
 <li>
 Experience in resource mobilization, project management or development projects.
 </li>
 <li>
 Experience working with national agricultural research systems or development agencies.
 </li>
 </ul>
 
 
 
</div>

Scientist – Integrated Crop and Livestock Systems

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Old Dominion University

<div>The Post Doctoral Research Associate position conducts research under the general oversight of a faculty supervisor who serves as a mentor, supporting the research in preparation for a career position in academe, industry, government, or the nonprofit sector. Following is a list of general responsibilities associated with the Post Doctoral Research Associate position:

A. Collaborate with other research and extension personnel affiliated with research activities involving computer vision, 3D imagery, machine learning, AI, and robotics. The research scientist is expected to engage in research activities and outreach activities, such as:
 1. Publications that acknowledge the research scientist's significant and meaningful contribution to the work.
 2. Active dissemination of information (beyond the boundaries of the campus) through informal instruction, presentations of research at regional/national meetings, publications on which the research scientist is an author, or other means stemming from the research scientist's research accomplishments.

B. Participate in appropriate professional/technical societies or groups and other educational and research organizations.

C. Review research or grant proposals, journal manuscripts, and publications related to the area of expertise.

D. May liaise with and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to the project or, with the approval of the PI supervisor, other activities aligned with the research scientist&rsquo;s area of expertise.
F. Participate in activities of committees within the department, college, campus and other University entities, as appropriate and with PI supervisory approval. 
 
Job Responsibilities:
<ul><li>Collaborate with other research and extension personnel affiliated with research activities involving computer vision, 3D imagery, machine learning, AI, and robotics. The research scientist is expected to engage in research activities and outreach activities. May liaise with and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to the project or, with the approval of the PI supervisor, other activities aligned with the research scientist&rsquo;s area of expertise.</li>
<li>Participate in appropriate professional/technical societies or groups and other educational and research organizations. Review research or grant proposals, journal manuscripts, and publications related to the area of expertise.</li>
<li>Participate in activities of committees within the department, college, campus and other University entities, as appropriate and with PI supervisory approval.</li>
</ul>
Education and/or training: Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, Robotics, or a closely related field.

Level and type of experience: recent PhD. graduate and demonstrate hands-on experience with vision foundation models, spatial reasoning, and physics-informed modeling or simulators

Specific knowledge, skills, and abilities: Proficiency in MATLAB, Python, and C++; 
 
To apply: click Job Browsing; and follow the link for position #26-035. Review of applications will begin immediately and will continue until the position is filled

This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.

The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions &mdash; including recruitment, hiring, training, compensation, and promotion &mdash; are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.

As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.

Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability. The anticipated salary range for this position is $60,000 &ndash; $70,000 annually.</div>

Post Doctoral Research Associate

University of California Los Angeles

<div>Job #JPF11224
<ul><li>Physiology / David Geffen School Of Medicine / UCLA</li></ul></div>
 <div><h3 class="jobSectionHeader">Position overview</h3>
<div>Salary range: $79,400-$92,200
</div><div><h3 class="jobSectionHeader">Application Window</h3>
</div><div>Open date: July 30, 2026
</div><div>Next review date: Sunday, Aug 30, 2026 at 11:59pm (Pacific Time)
 
Apply by this date to ensure full consideration by the committee.
</div><div>Final date: Sunday, Aug 30, 2026 at 11:59pm (Pacific Time)
 
Applications will continue to be accepted until this date.
</div><h3 class="jobSectionHeader">Position description</h3>
<div><div>The DeNardo lab is in the Department of Physiology at UCLA is recruiting for an Assistant Project Scientist position. This position is intended for research working on the neural circuit mechanisms of long-term memory. The DeNardo lab pioneered viral-genetic approaches for circuit mapping and activity-dependent neuronal tagging.
Job responsibilities include supporting the PI in the design and execution of funded projects, including investigating prefrontal circuit mechanisms of threat-induced behaviors and the impact of chronic stress. Responsibilities also include assisting the PI in study design, day-to-day tasks related to project management, data analysis, manuscript preparation and submission, and supervising graduate/undergraduate students/junior postdoctoral fellows working in this group.
The qualifications for this position are Ph.D. in neuroscience, neurobiology, neuroengineering, or a closely related field of study. Experience related to optogenetics, fiber photometry, rodent behavioral assays, miniscope imaging, viral circuit mapping, and tissue clearing are required.
</div></div><h3 class="jobSectionHeader">Qualifications</h3>
<div>Basic qualifications
<div>Ph.D. in neuroscience, neurobiology, neuroengineering, or a closely related field of study.
</div></div><div>Additional qualifications
<div>Experience related to optogenetics, fiber photometry, rodent behavioral assays, miniscope imaging, viral circuit mapping, and tissue clearing.
</div></div><h3 class="jobSectionHeader">Application Requirements</h3>
<div><div>Document requirements
<ul><li><div>Curriculum Vitae - Your most recently updated C.V.
</div></li><li><div>Cover Letter (Optional)
</div></li><li><div>Statement of Research (Optional)
</div></li><li><div>Statement of Teaching (Optional)
</div></li><li><div>Reference check authorization release form - Complete and upload the reference check authorization release form
</div></li><li><div>UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of the state of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
The UCLA campus has expressed these goals in its strategic plan as follows:
Deepen our engagement with Los Angeles
 
Expand our reach as a global university
 
Enhance our research and creative activities
 
Elevate how we teach
 
Become a more effective institution
Prompt for candidates for recruitment:
Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service
 
(Optional)
</div></li></ul></div><div><div>Reference requirements
</div><ul><li>2 required (contact information only)</li>
</ul><div>Faculty supervisor will request references if desired.
</div></div>Apply link: https://recruit.apo.ucla.edu/JPF11224
</div><div>Help contact: smleonard@mednet.ucla.edu
</div><h3 class="jobSectionHeader">About UCLA</h3>
<div><div>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy</li>
<li>UC Anti-Discrimination Policy for Employees, Students and Third Parties</li>
<li>APM - 035: Affirmative Action and Nondiscrimination in Employment</li>
</ul></div></div><h3 class="jobSectionHeader">Job location</h3>
<div>Los Angeles, CA</div></div>

Assistant Project Scientist

SportsBiz Group Inc

Lead AI &amp; Computer Vision Scientist<ul><li>Role: Lead AI &amp; Computer Vision Scientist</li><li>Location: 100% Remote (US / Canada/Europe/South America)</li><li>Current Company Valuation: $30M</li><li>Compensation Model: Day-1 Equity + Post-Funding Salary</li></ul>The OpportunityAre you a visionary interactive developer who thrives at the intersection of cutting-edge AI-native technology and early-stage startup grit?SportsBiz (SportsBiz.com) is disrupting the $100B sports sponsorship industry. Having already established a leadership foothold with our proprietary AI analytics platform, DeepSport Solutions, we are now expanding our ecosystem. We are seeking an elite AI expert to CV-based products from concept to production &mdash; not just research prototypes.architect and scale our from the ground up.This is not a corporate cog-in-the-wheel role. You will act as a player-coach, building and working on a team data scientists, establishing the technical blueprint, and directly shaping the future of sports sponsorship technology. Must have strong team leadership experience. Our clients span both major corporate sponsors (brands) and sports properties (teams, leagues, and events).The Reality of Early-Stage Building (Our Culture)Transparency is our baseline. We are a lean, high-octane team of 20+ co-founders and executives hailing from Fortune 500s and top-tier boutique firms.<ul><li>Current Company Valuation: $30M</li><li>The Phase: We are currently preparing to close our $5M second-round capital raise, which is anticipated by the end of Q3.</li><li>The Compensation: In alignment with our leadership team, this role operates on an equity (stock only) model prior to funding. You will receive meaningful equity ownership from day one, alongside routine cash stipends.</li><li>The Full-Time Transition: Upon the successful completion of our present $5M fundraise, you will transition immediately to a highly competitive, full-time base salary and performance bonuses. Base Salary: $120,000.</li></ul>If you are energized by the high-upside equity phase of a startup and want true, structural ownership of a product, this is your sandbox.What You'll Own<ul><li>Own the video processing pipelines. Be the directly responsible individual for the pipelines that detect broadcast exposure and assess its value &mdash; their technical roadmap, quality, and delivery, from research through production.</li><li>Scale to league level. Architect and deliver the systems that take these pipelines from single venues and teams to processing all games across major leagues (NFL, NHL, MLB) and major college football conferences, with the throughput, reliability, and cost profile that scale demands.</li><li>Own the computer-vision core. Lead detection and identification of sponsorship signage and branded assets in video. Continuously evaluate and prototype alternative approaches &mdash; models, architectures, tooling, and vendors &mdash; to keep the pipeline at the frontier of a rapidly advancing field.</li><li>Own the full valuation workflow. Take a system-level view of the entire pipeline: tracking signage into impressions, scoring those impressions, and translating them into a defensible dollar value of brand exposure. Ensure each stage is measurable, explainable, and defensible to clients.</li><li>Engineering rigor. Drive strong software practices across the team &mdash; clean, tested, maintainable Python; a disciplined SDLC; and robust CI/CD, so research reliably becomes production.</li><li>Lead and grow the team. Manage, mentor, and hire data scientists and ML engineers. Set technical standards, run reviews, and develop the people around you.</li><li>Cross-functional partnership. Work with product and commercial teams to translate client needs into technical requirements, and communicate methodology and results to non-technical stakeholders with credibility.</li></ul>What We're Looking For<ul><li>Delivered a computer-vision product. Proven experience taking a CV-based product from concept to production &mdash; not just research prototypes.</li><li>CV models on AWS. Hands-on experience developing and deploying computer-vision models on AWS infrastructure, such as SageMaker.</li><li>System-level thinker. Able to own a multi-stage workflow end to end &mdash; detection, tracking, scoring, and valuation &mdash; and reason about how choices in one stage affect the whole.</li><li>Deep Python and software-engineering depth. You are a strong software developer, not only a modeler. Fluent in Python with real command of the SDLC and CI/CD.</li><li>Scale experience. Track record building or operating data/ML systems that handle high volume reliably and cost-effectively.</li><li>Leadership. Experience leading and mentoring technical talent; comfortable owning outcomes and setting direction.</li><li>Stays current. Actively tracks the evolving CV and ML ecosystem and has a habit of evaluating and adopting better approaches.</li><li>Communication. Explains technical methodology and results clearly to both engineers and business stakeholders.</li></ul>Nice to Have<ul><li>AWS-based workflows. Experience implementing production data or ML workflows on AWS.</li><li>AI-forward practitioner. Hands-on adopter of AI in your own workflow &mdash; you use coding agents and AI-assisted development day to day.</li><li>AI-driven workflows. Experience designing or building AI-driven pipelines and automation.</li><li>Sports / media domain. Familiarity with sports broadcast, sponsorship measurement, or media valuation.</li><li>Video at scale. Experience with video ingestion, streaming, or large-scale media processing infrastructure.</li></ul>What Success Looks LikeWithin your first year, the video processing pipelines reliably run at league scale, the computer-vision core is measurably more accurate and more current than it is today, and the impression-to-dollar valuation is trusted by clients and defensible under scrutiny &mdash; backed by a strong team and engineering practices you&rsquo;ve helped build.SportsBiz is an equal opportunity employer. We welcome applicants from all backgrounds.Minimum Qualifications<ul><li>Experience: 8+ years of professional experience, with a minimum of 4-5+ years dedicated specifically to Computer Vision and alogorythmic modeling.</li><li>Technical Mastery: Flawless skills and a bulletproof understanding of rendering algorithms and data structures.</li><li>Leadership Toolkit: Proven history of leading engineering teams, managing agile pipelines, and mentoring junior/mid-level talent.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, or equivalent practical field.</li><li>Portfolio: A stellar portfolio demonstrating complex, production-ready work in AI engineering and computer vision.</li></ul>Nice-to-Haves<ul><li>A genuine passion for sports analytics, gaming, or data-driven visual experiences.</li><li>Experience integrating AI-assisted development tools (like Cursor or Claude Code) into your production workflows.</li></ul>Perks &amp; Benefits<ul><li>Founding Equity: Meaningful ownership (Employee Stock Ownership Plan) in a high-valuation startup.</li><li>Immediate Cash Stipends: Ongoing routine stipends provided prior to our major funding round.</li><li>100% Remote &amp; Flexible: Work from home with a schedule optimized for async, high-output productivity.</li><li>Uncapped Trajectory: As a foundational engineering leader, your career growth scales directly with the company's valuation.</li></ul>Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>Paid time off</li><li>Stock options</li></ul>Experience:<ul><li>Unreal Engine: 5 years (Required)</li></ul>Work Location: Remote

Lead AI & Computer Vision Scientist

New York State Psychiatry Institute

<div>Job Title: Assistant Research Scientist
Grade: 15
Salary: $57,900-$69,341
The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position
in our neuroscience laboratory, in which rodent preparations are used to model mechanisms and treatment targets in mental illness.
Circuit mechanisms of normal brain functions and how experiences change them are a focus.
Duties and Responsibilities:
The work focuses on neurobehavioral systems, using molecular genetic manipulations to probe neural cellular and circuit function and, ultimately, behavior depending on demands of a given experiment, research responsibilities will include varying combinations of the following:<ul><li>
Handling of research rodents, stereotaxic surgery and monitoring during recovery, behavioral testing, in vivo fiber
</li><li>photometry and electrophysiology, anatomic circuit tracing, neurohistology, microscopy, and data analysis.</li><li>
Experience with procedures and analysis of data utilizing genetically encoded biosensors and in vivo physiology is critical.</li><li>
Experience with vivo viral-mediated gene transfer and opto and chemo genetics is preferred. Familiarity with programming in</li><li>
Matlab and Python are important.</li></ul> 
The candidate should be able to work on a flexible schedule, including some weekends and evenings.
Minimum Qualifications:<ul><li>
Bachelor's degree and (1) year of professional research experience in an appropriate field, or 30 graduate credit hours leading to an advanced degree in an appropriate field may be substituted for the required experience</li></ul>
Preferred Qualifications:<ul><li>
Applicants will be expected to also have excellent organizational skills, keep detailed records, and aid others in the laboratory with data.</li></ul> 
Work Location: 1051 Riverside Drive, New York, NY 10032
To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.
The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.
The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.</div>

Assistant Research Scientist

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