machine learning researcher

New York University

<div><p>The postdoctoral associate will be conducting research on topics in machine learning and computational materials science..
</p><p><b>In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $62,500.00. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
</b></p><p><b>This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.
</b></p><p><b>We welcome applications from international candidates; however, please note that NYU is not an E-Verify employer and therefore unable to support STEM OPT extensions.</b></p></div>
<br><div><p>PhD</p></div>
<br><div><p>CV</p></div>
<br><div><p><b>For people in the EU, click here for information on your privacy rights under GDPR: </b><b>www.nyu.edu/it/gdpr
</b></p><p>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.
</p><p><b>Sustainability Statement
</b></p><p>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</p></div>

Postdoctoral Associate (Martiniani)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Here's the job description with causal ML woven in:<br>
<br>
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning modeling and architecture expertise &mdash; particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. Equally important is deep expertise in causal machine learning &mdash; including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) &mdash; to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit.<br>
<br>
We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.<br>
<br>
Key job responsibilities<br>
See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale.<br>
<br>
Build strong collaborations. Partner with product, engineering, and science teams within Pricing &amp; Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures &mdash; including sequence models and transformers &mdash; for large-scale price prediction and optimization.<br>
<br>
Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems.<br>
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Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. Leverage statistical rigor and modern deep learning approaches to validate hypotheses and drive measurable pricing improvements.<br>
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Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise &mdash; including deep neural networks, attention-based models, and applied statistical analysis &mdash; to incrementally move the needle on some of our hardest pricing problems.<br>
<br>
A day in the life<br>
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through:<br>
<br>
<ul><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.</li><li>Error detection and price quality guardrails at scale.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into Stores architectures; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
<br>
About the team<br>
The Pricing Optimization science group builds and refines Amazon's algorithmic pricing and promotion models at scale. Our team combines expertise in deep learning, transformer architectures, applied statistics, and probabilistic forecasting to develop price prediction systems that directly impact the customer experience. The team also brings hands-on experience with causal modeling and inference &mdash; including uplift modeling and treatment effect estimation &mdash; to rigorously measure the impact of pricing decisions on customer behavior and business outcomes. We partner closely with product, engineering, and business teams to take solutions from research through production deployment.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Pricing Science

Shariq Enterprises Proprietor

<p><b>Abou US:</b><br/><b>Shariq Enterprises</b> is a digital solutions company helping brands grow through E commerce, Marketing, Web Development and AI Automation. We build smart, scalable systems that boost business efficiency and results<b>.</b></p><p><b>Job description:</b><br/><b>Shariq Enterprises</b> is seeking askilled and analytical Amazon Product Researcher to discover high potential products for Online Arbitrage (OA), and Wholesale FBA models.</p><p><b>Key Responsibilities:</b></p><ul><li>Conduct detailed product research across Amazon/ walmart marketplaces.</li><li>Identify profitable products for OA and Wholesale models.</li><li>Analyze product trends, competition, sales rank and pricing history.</li><li>Evaluate profit margins, ROI, and sourcing options.</li><li>Prepare detailed product sheets and reports.</li><li>Coordinate with sourcing, listing, and operations teams.</li></ul><p><b>Requirements:</b></p><ul><li>Minimum 6 Month of experience in Amazon product research.</li><li>Strong understanding of Amazon business models (OA, FBA, Wholesale).</li><li>Proficient in research tools.</li></ul><p><b>Details</b></p><ul><li>Basic Salary + Allowance.</li><li>Career growth opportunities within a growing e-commerce team.</li><li>Location: DHA Phase 5</li></ul><p>Write &quot;Product Researcher&quot; in your email subject line.</p><p>Drop your resume at: careers@shariqenterprises.com</p><p>Pay: Rs30,000.00 - Rs50,000.00 per month</p><p>Work Location: In person</p>

Amazon Product Researcher

Pixel Minds

<p>LinkedIn Lead Scraper / Lead Researcher Pixel Minds is looking for an experienced LinkedIn Lead Scraper / Lead Researcher to join our team. The ideal candidate should have hands-on experience in finding, researching, and collecting targeted leads from LinkedIn and other online platforms. Responsibilities: - Conduct detailed research to identify potential clients and businesses. - Find targeted leads and decision-makers based on specific criteria. - Collect and organize accurate lead information. - Research companies, industries, and relevant contact details. - Build and maintain high-quality lead databases. - Verify and ensure the accuracy of collected data. - Use LinkedIn and other online research tools to find relevant prospects. - Meet daily and monthly lead research targets. Requirements: - Previous experience in LinkedIn lead scraping or lead research is required. - Strong web research and data collection skills. - Experience with LinkedIn Sales Navigator is a plus. - Knowledge of lead generation tools is a plus. - Good command of Google Sheets and Microsoft Excel. - Strong attention to detail and accuracy. - Ability to work independently and meet deadlines. Job Type: Full-Time Location: Karachi, Pakistan</p><p>Pay: From Rs65,000.00 per month</p><p>Work Location: In person</p>

Linkedin Lead Scrapper

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div><div><p>Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
</p></div><p></p><div><p>As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
</p></div><p></p><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li>Architect and develop GenAI and agentic solutions to automate complex operational processes
</li></ul></div><div><ul><li>Assist Lines of Business and teams to directly solve priority use cases within the domain
</li></ul></div><div><ul><li>Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
</li></ul></div><div><ul><li>Design and build services and libraries that AI teams want to use
</li></ul></div><div><ul><li>Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li></ul></div><div><ul><li>Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
</li></ul></div><div><ul><li>Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
</li></ul></div></div><p></p><div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or<b> </b>MS in Computer Science or a related field with 12+ years of relevant experience
</li></ul></div><div><ul><li>Research experience or work in a top commercial AI research lab
</li></ul></div><div><ul><li>Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
</li></ul></div><div><ul><li>Proven track record of deploying AI/ML applications in a production environment at scale
</li></ul></div><div><ul><li>Familiarity with distributed computing patterns for training, serving, and persistence of state
</li></ul></div><div><ul><li>Experience integrating user feedback to establish agentic refinement and self-improving AI applications
</li></ul></div><div><ul><li>Experience in building and leading high-performing AI teams
</li></ul></div><p></p><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
</li></ul><p></p><p>FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.</p>
<p>#LI-RB1</p>
<p>#CIBAppliedAI</p>
</div></div><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Researcher Director

Mount Sinai Health System

<div><p>The Associate Researcher is an entry laboratory research position, responsible for conduct of routine and standardized experiments using techniques specific to the assigned research project under the supervision of the Principal Investigator or a senior researcher. This individual assists in the interpretation of research outcomes and may be responsible for lab and clerical support. S/he analyzes and assists in interpreting research outcomes.</p><p><b>
What You&rsquo;ll Do:</b> Under the supervision of Dr. Mera at the Icahn School of Medicine at Mount Sinai the research technician will play a key role in advancing CRISPR-based functional genomics programs. This position will support the development, execution, optimization, and standardization of CRISPR screening workflows across multiple research projects, while serving as a technical expert in molecular biology methodologies.</p><ul><li><p>
Execute CRISPR screening experiments in mammalian cell systems.</p></li><li><p>
Establish, optimize, and standardize laboratory protocols and best practices for CRISPR screening workflows, ensuring reproducibility across projects.</p></li><li><p>
Design, clone, validate and maintain CRISPR libraries, guide RNA constructs, and associated molecular biology reagents.</p></li><li><p>
Perform advanced molecular biology techniques including PCR, qPCR, DNA/RNA extraction, cloning, lentiviral production, library preparation.</p></li><li><p>
Collaborate with computational scientists and research teams to support screen design, data interpretation, and follow-up validation studies.</p></li><li><p>
Analyze experimental results and maintain detailed laboratory records to support publications, presentations, and regulatory documentation.</p></li><li><p>
Ensure all work is conducted in compliance with approved protocols, institutional policies, biosafety regulations, and applicable regulatory requirements.</p></li><li><p>
Assist with laboratory organization, inventory and general laboratory operations.</p></li><li><p>
Proficient use of excel, word, power point and computational software is necessary.</p></li></ul><ul><li>
Bachelors degree in science or related field preferred, or combination of relevant research experience and education</li><li>
0-2 years of research/laboratory experience</li></ul><p></p><p><b><br>
Strength through Unity and Inclusion</b></p>
<p>
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&rsquo;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.</p>
<p>
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.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
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 &mdash; 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&rsquo; 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 &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; 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 &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;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&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; 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.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
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.</p></div>

Associate Researcher- Immunology and Immunotherapy

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
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 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
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 <strong>
  Job Category
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  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

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