Machine learning researcher jobs in Jersey City, New JerseyCreate job alerts

Role Title: UX Researcher Duration: 06+ months Work Location: Hybrid, New York, NY Role Overview We are looking for a highly proactive, senior-level UX Researcher to step in. In this role, you will support a core foundational team focused on high-visibility Consumer Desktop Products, partnering closely with a matrixed, cross-functional organization. This position requires a seasoned mixed-methods researcher who leans heavily into qualitative methodologies but is comfortable utilizing quantitative data to drive product strategy. You will operate with high autonomy, owning your research roadmap end-to-end and collaborating daily with a fast-paced network of Product Managers, Product Designers, and Software Engineers to directly impact millions of daily consumer users. Key Responsibilities • End-to-End Ownership: Independently scope, design, scale, and execute research studies from initial question formulation through to data gathering, synthesis, final reporting, and strategic presentation., • Roadmap Management: Balance 2 to 3 major strategic workstreams ("big rocks") while efficiently managing a steady, rolling monthly pipeline of tactical, evaluative, and foundational/exploratory projects., • Cross-Functional Collaboration: Partner closely with Design, Product Management, and Engineering to ensure user insights actively shape product timelines and execution. (Collaboration with Data Science teams is a plus)., • Methodology Balance: Execute a healthy split of research methodologies, indexing roughly 65–70% on Qualitative work and 30% on Quantitative frameworks. Minimum Qualifications & Experience Level • Seniority & Autonomy: Proven experience operating as an independent, Senior-level UX Researcher. Must have a track record of architecting entire research frameworks from scratch, rather than merely executing pre-defined rapid research templates or supporting a lead researcher's scope., • Product Experience: Strong background delivering insights explicitly for desktop applications and consumer-facing products (a blend of enterprise and consumer is acceptable, but consumer focus is paramount)., • Technical Environment: Prior experience conducting research within mid-to-large-scale global technology companies (e.g., tier-1 tech firms or hyper-growth AI environments)., • Tooling Proficiency: Deep familiarity with external standard user research platforms, specifically UserTesting, Qualtrics, and dscout. Preferred Qualifications (Nice-to-Haves) • AI Product Research: Direct experience executing user research for Artificial Intelligence, Machine Learning, or LLM-driven consumer products is highly prioritized., • Advanced Education: Master’s degree or PhD in Human-Computer Interaction (HCI), Psychology, Anthropology, Cognitive Science, or a related field.

Job title: • Quantitative Researcher (Systematic Equities). Salary: • Up to £350,000 starting base + industry-leading guaranteed bonus and package., • TC of up to £1M+ GBP in annual compensation. Location: • Chicago/New York/London., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

Job Title: Senior UX Researcher (Mixed Methods) Location: New York, NY (Hybrid – Tuesday through Thursday onsite, Monday and Friday remote) Duration: 7+ Month Contract About the Role We are seeking a highly experienced Senior UX Researcher to lead strategic research initiatives for innovative, AI-powered consumer products. This role requires a seasoned mixed-methods researcher who can independently drive complex research programs, influence product strategy, and deliver actionable insights that shape user experiences and business outcomes. The ideal candidate has extensive experience conducting both qualitative and quantitative research, partnering closely with Product, Design, Data Science, and Engineering teams to create user-centered solutions. Experience researching AI-driven products and desktop/web user experiences is highly preferred. Key Responsibilities • Lead end-to-end UX research programs for complex product initiatives with minimal oversight., • Design and execute mixed-methods research studies, including interviews, usability testing, surveys, diary studies, and quantitative analysis., • Generate actionable insights that influence product strategy, roadmap planning, and user experience design decisions., • Synthesize research findings into clear recommendations for cross-functional stakeholders and leadership teams., • Collaborate with Product Managers, Designers, Engineers, and Data Scientists to identify opportunities and solve user problems., • Develop research frameworks, measurement strategies, and success metrics to evaluate product impact., • Advocate for user-centered and inclusive design practices across product teams., • Identify emerging user needs, market trends, and business opportunities through proactive research initiatives., • Present research findings and strategic recommendations to stakeholders at multiple organizational levels., • Drive alignment and consensus among cross-functional teams through evidence-based decision-making. Required Qualifications • 5–7+ years of UX Research experience in consumer-facing digital products., • Strong expertise in both qualitative and quantitative research methodologies., • Proven experience leading large-scale, complex research programs from planning through execution and synthesis., • Demonstrated ability to influence product strategy through research-driven insights., • Experience partnering with Product, Design, Engineering, and Analytics teams., • Excellent communication, storytelling, stakeholder management, and presentation skills., • Experience working independently in fast-paced, highly collaborative environments. Preferred Qualifications • Experience researching AI-powered, machine learning, or generative AI products., • Experience supporting search, discovery, recommendation, or intelligent assistant experiences., • Experience conducting research for desktop and web-based user experiences., • Background working within large-scale technology product organizations., • Familiarity with strategic research, behavioral analytics, and product ecosystem research.

The Mount Sinai Health System (MSHS) is one of the largest healthcare systems in the United States and is at the forefront of leveraging clinical excellence and cutting-edge technology to advance patient care, research, and innovation through data-driven insights. MSHS is home to Minerva, the world’s fastest supercomputer based in an academic medical center, and the Artificial Intelligence Ready Mount Sinai (AIR·MS) research platform. Both are part of a computational and data ecosystem that includes cohort query tools, AI agents, and thousands of applications. Several multi-modal data sources, such as electronic health record (EHR) data from our system-wide Epic instance, and millions of digital pathology slides are linked together and available for analytics, research, and quality improvement initiatives. AIR·MS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS. We are seeking an engaged physician informaticist with expertise in computation, data analytics, AI, and U.S. healthcare data. The Lead Physician Informaticist partners with researchers and clinicians to ensure effective use of AIR·MS and the broader data ecosystem. In this collaborative, clinically driven role, you will bridge clinical, operational, and research needs across MSHS. Responsibilities include engaging with stakeholders to understand needs, identifying barriers, developing roadmaps, and supporting the deployment of new AIR·MS capabilities. You will also help translate complex research questions into actionable data queries and develop Python/R scripts to generate insights from the OMOP CDM warehouse. Responsibilities: • Leads researcher and clinician engagement, including needs assessment, communication planning, roadmap development, and user experience optimization., • Partners 1:1 with clinicians, researchers, and analysts to refine questions and deliver tailored data solutions., • Communicates complex data concepts clearly across varying levels of expertise., • Designs, writes, and optimizes SQL queries and Python/R scripts against the OMOP CDM to extract and analyze clinical, revenue and research data., • Educates, trains and mentors users on EHR data structures, OMOP CDM concepts, data limitations, cohort definition, cohort query tools, analytical tools and best practices for self-service analytics., • Helps to support researchers to address various challenges associated with data use and analysis across the translational spectrum (T0 to T4)., • Oversees a user ticketing system and develops training sessions on health care data and data warehouses including the use of query tools and direct SQL., • Validates data outputs for accuracy, completeness, and appropriateness., • Identifies and communicates potential biases or limitations in EHR-derived data., • Collaborates with technical, clinical, and compliance teams to improve functionality, data quality, and governance., • Ensures compliance with regulations, institutional policies, and ethical standards in all data handling and dissemination., • Contributes to documentation, standard query libraries, and training materials to enhance organizational data literacy., • Has familiarity with modern artificial intelligence and machine-learning methodologies, including the use of supervised and unsupervised methods, large language models, and transformers., • May manage a small number of staff as required. Requirements: • Bachelors degree in a technical discipline; Masters degree preferred, • 12-15 years preferred of related experience, including 8 years of demonstrated ability in technology area (clinical informatics at a healthcare system and/or in biomedical research), • At least seven years of experience in clinical informatics at a healthcare system and/or in biomedical research., • Understands and has expertise in a broad spectrum of clinical data types, transformations, concept mappings, and standards (such as OMOP Common Data Model, SNOMED, ICD, RxNorm, LOINC, and ontologies) used at academic medical centers., • Demonstrated proficiency in SQL (including complex joins, stored procedures, window functions, and performance optimization) with experience querying large healthcare datasets, as well as using Python and R programming languages., • Understands how to perform quality assurance and quality control assessments of queries, data, and data warehouses., • Must have experience with HIPAA, Compliance and Cybersecurity requirements., • Strong understanding of EHR data, including clinical workflows, documentation practices, and common data quality issues in EHR derived data., • Familiarity with Epic Clarity and Caboodle data models is preferred., • Experience preferred with a variety of multi-modal data including but not limited to: Radiology DICOM tags, Pathology metadata, genomic/WES, return of genetic results., • Understands best practices for software development lifecycles., • Experience working with students, residents, fellows, staff, faculty, administrators with different levels of technological and medical expertise in a large academic medical system., • Effective communication and collaboration skills. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. _

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Travel regularly as required to work with participants, clinicians, and collaborators. Required Qualifications • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Ability to travel frequently to the participants for research sessions. Preferred Qualifications • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications., • In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) *Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics. Responsibilities • Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis. Requirements • BS/MS/PhD degree in a STEM field., • 2+ years of experience in quantitative research, preferably within futures markets., • Passion for machine learning., • Proficiency in programming languages like Python and statistical modeling., • Strong problem-solving skills., • Ability to work effectively both independently and as part of a team. Benefits • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. As a Quantitative Researcher you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research. Responsibilities • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading., • Investigate and implement state-of-the-art academic research in the field of quantitative finance., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis. Requirements • BS/MS/PhD degree in any stem field, • 2+ years in a systematic trading environment, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player Benefits • Competitive salary plus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

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

Job DescriptionImmediate Start - Quant Researcher – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team. This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. Key Responsibilities • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods., • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests., • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing)., • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods., • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution., • Collaborate with developers to transition research into production-ready strategies., • Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library. Requirements • Masters or PhD in either Statistics, Economics, Computer Science., • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML)., • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow)., • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias., • Academic experience in research and proven ability to translate academic work to production code., • Prior exposure to systematic trading or financial modelling., • Ability to design experiments, interpret results, and iterate quickly in a research environment. Bonus points for: • Knowledge of commodities (agriculture, energy, metals) or macro markets., • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite)., • Experience collaborating in version control environments., • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging., • Publications, Kaggle competitions, or research track record demonstrating applied ML excellence. Benefits • Direct impact: Your alphas will go live into production portfolios, with real capital behind them., • Research-first culture: We value deep thinking, novel approaches, and systematic rigor., • Close collaboration across a global team., • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines., • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment.

Schonfeld Strategic Advisors LLC has an opening for a Quantitative Researcher (Equity Derivatives) in New York, NY. The position duties are as follows: Providing quantitative research support the equity derivative portfolio. Responsible for integrating different risk management systems, data feeds and alpha generation. Utilize strong technology skills and advanced programming languages, such as Python or C++, and experience with software solutions to carry out the following day-to-day duties: • Working on ad hoc risks scenarios and metrics specific to Volatility strategies;, • Building & cleaning database of volatilities using external data providers;, • Improving & creating new volatility metric screeners;, • Building custom backtester for volatility strategies and statistical analysis of trades;, • Helping Alpha generation ideas through semi systematic volatility strategies. The position requires a Master’s Degree in Physics, Quantitative Finance, Computer Science, or Mathematics or a related quantitative field or foreign equivalent, plus 2 years of experience as a Quantitative Researcher or Quantitative Developer, or a similar role working in equity derivatives. Experience must include: • 2 years of experience utilizing advanced programming languages, such as Python, C++, and Java., • 2 years of experience with Cluster/Scheduler software solutions., • 2 years of experience in leveraging financial analysis to create mathematical models to develop improved tools or advanced financial instruments., • 2 years of experience in designing, developing, and improving financial models and analytics for execution research and quantitative trading., • 2 years of experience in building and calibrating market impact models, • 2 years of experience in equity derivatives pricing and risk computing., • 2 years of experience in volatility financial models, including equity derivatives., • 2 years of experience in the optimization of collecting, filtering, and analyzing market data using databases, • 2 years of professional or academic experience in machine learning algorithms regressions and classifications algorithms. Part-time telecommuting permitted. Offered Wage: $200,000/year CV to Dylan Katz (dkatz@schonfeld.com), Ref. ZS25 Schonfeld Strategic Advisors LLC is an Equal Opportunity Employer #LI-DNI

Protege is looking for a Machine Learning Researcher to improve AI systems by focusing on data quality and evaluation frameworks.

Your work helps shape how AI is deployed, evaluated, and trusted; from enterprises shipping to production, to researchers pushing new capabilities, to organizations responsible for safety at scale. The Role As a Machine Learning Researcher at Gray Swan AI, you will work at the boundary between resea

Quant Blueprint LLC in Stamford, CT, is seeking an Early Career Quantitative Researcher to develop machine learning strategies predicting liquid financial assets.You will design and optimize models, analyze data, and work with a collaborative team.The ideal candidate holds a BS/MS/PhD in a STEM fiel

A pioneering technology firm is seeking a Quantitative Researcher to contribute to their trading and forecasting systems.This role involves designing and deploying models that drive live trading, requiring expertise in quantitative modeling, machine learning, and time-series forecasting.Candidates s

Machine Learning Research Scientist / Engineer, Reasoning About Scale At Scale AI, our mission is to accelerate the development of AI applications. About This Role We’re looking for a researcher/engineer who can turn research ideas into working prototypes and solve complex ML challenges in LLM cap

A leading educational foundation in Brooklyn, NY, is seeking a Postdoctoral Researcher to enhance machine learning modeling in climate science.Python programming skills, and experience with statistical modeling.This full-time role offers a starting salary of $75,000-$82,000 and opportunities for pro

A research institution in New York is seeking a talented researcher in Machine Learning to conduct innovative research, implement algorithms, and collaborate with a multidisciplinary team.The ideal candidate will hold a PhD in a relevant field and have experience in various aspects of Machine Learni

Quant Blueprint LLC in Stamford, CT, is seeking an Early Career Quantitative Researcher to develop machine learning strategies predicting liquid financial assets.

About the job Mercor connects elite creative and technical talent with leading AI research labs.Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey.Position: Computer Science Content Author/Reviewer Type:

Motivation & Learning Passion for applying machine learning to quantitative finance. Role Overview We are seeking an experienced Machine Learning Researcher to join our research team. Requirements Background in machine learning or quantitative research, preferably related to financial markets.

Strong theoretical foundation in machine learning, proficient in Python and mainstream deep learning frameworks; capable of end-to-end data processing and independent modeling. Qualifications Bachelor’s degree or above from top domestic and international universities, majoring in Computer Science

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing mach

Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis.

At least 3 years' experience with machine learning. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unloc

A leading consulting firm is seeking an experienced Data Scientist to contribute to a cutting-edge data science initiative focused on optimization and predictive modeling.This remote role involves designing advanced models, working with large datasets, and using Python tools like Gurobi.Candidates s

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing mach

If you’re excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role As a Senior Machine Learning Engineer on the AI Image Generation (Imagine) team, you’ll design, implement, fine‑tune, improve and debug the image AI mo

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people sa

Staff Machine Learning Engineer, Listings and Host Tools Data and AI Join Airbnb as a Staff Machine Learning Engineer in the ULM‑ML team, where you will build end‑to‑end machine learning solutions to improve host and guest experience.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people sa

Expertise in machine learning and causal inference Proficiency in R programming (preferred) Industry experience in pharma/biotech strongly preferred Ability to translate complex analyses into actionable insights *Must also have experience with: Familiarity with real‑world evidence (RWE) methodolog

At least 5 years of experience with machine learning. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unl

Must Have 1-3 years of experience in developing applications in search, personalized ranking, or recommender systems Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day) Strong programming skills i

Join to apply for the Senior Machine Learning Engineer role at Williams Lea This range is provided by Williams Lea. Base pay range Direct message the job poster from Williams Lea Job Title Senior Machine Learning Engineer Salary Up to £80,000 per annum depending on experience, plus company benefits

We are looking for a Senior/Staff Machine Learning Engineer to build and own machine learning-driven systems that power automation and decision-making across onboarding, risk, compliance, and operations. What you will be doing Design, build, and iterate on machine learning models and LLM-based syste

Schedule: Remote and asynchronous—set your own hours Commitment: ~20 hours/week Duration: Through December 22nd, with potential extension into 2026 What You’ll Do Draft detailed natural‑language plans and code implementations for machine learning tasks Convert novel machine learning proble

Lime is hiring a Principal Machine Learning Engineer to join the Data Science & Analytics team and build our Machine Learning Center of Excellence. What you’ll do: Drive alignment across teams on ML strategy, standards, and long‑term technical direction by serving as a technical leader for Lime�

Serve as a subject matter expert for machine learning systems owned by the team. Job Overview We are looking for a Senior Machine Learning Engineer to drive the design and development of scalable AI systems that deliver meaningful impact across the organization.

A leading financial technology firm seeks a Senior Data Scientist to influence card-linked offers through advanced machine learning and experimentation systems.

Senior – Staff Machine Learning Engineer $220,000 - $300,000 + Benefits + Holidays & PTO United States (Remote) Are you an experienced machine learning engineer looking to utilize your expertise and take full ownership of projects at a well-funded, fast-paced and innovative startup? On offer is th

About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis

This range is provided by Doghouse Recruitment.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Direct message the job poster from Doghouse Recruitment Senior HFT & Trading Tech Recruiter | C++ · Rust · Core Linux · Low Latency · Network Engi

Build and optimize machine learning models including regression, classification, ranking, and recommender systems. Have experience building and operating production machine learning systems rather than only training models. Have experience with machine learning frameworks such as PyTorch, TensorFlow

Responsibilities Design and write detailed evaluation suites for machine learning engineering tasks. Requirements Strong experience in machine learning engineering or applied ML research.

An innovative trading technology firm is seeking an experienced algorithmic trader with over 3 years of experience to join their international team.This role allows for remote work from anywhere and involves monitoring trading systems, adjusting parameters, and suggesting improvements.A proven track

The Role We are looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM‑compatible chains are slow and bandwidth‑constrained.