{"comments":"13/03/2026: The API has been updated to include the companySlug field in the response.","updatedAt":1781802345,"offset":0,"limit":20,"totalCount":96465,"jobs":[{"title":"High School Tutor","excerpt":"Tutor Me Education is reshaping how students learn.","companyName":"Tutor Me Education","companySlug":"tutor-me-education","companyLogo":"https://cdn-images.himalayas.app/puxfup882jo3l7a7is80lxnval48","employmentType":"Contractor","minSalary":null,"maxSalary":null,"salaryPeriod":"hourly","seniority":["Entry-level"],"currency":"USD","locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["High-School-Tutoring","Remote-Teaching","Secondary-Education","Tutoring","Education","High-School-Tutor","High-School-Math-Tutor","Remote-High-School-English-Tutor","Secondary-Math-Tutor","Math-Tutor","K-12-Tutor"],"parentCategories":[],"description":"<p><a href=\"https://himalayas.app/companies/tutor-me-education\">Tutor Me Education</a> is reshaping how students learn. We are looking for teachers and tutors with virtual tutoring experience to provide 1:1 or group instruction to students all across the country!</p><h3>Here are the details:</h3><ul><li>Virtual instruction from your home computer, on your schedule! This is a remote job!</li><li>Set your own availability and change it at any time</li><li>Set your own hourly rate and negotiate on a per job basis</li><li>We will ask you to share the subjects you can teach the best, and systematically send jobs to your email based on those subjects</li></ul><h3>About <a href=\"https://himalayas.app/companies/tutor-me-education\">Tutor Me Education</a>:</h3><ul><li>We are a tutoring and test-preparation platform that connects tutors with clients and school districts</li><li>Tutors set their own hourly rate and decide which tutoring jobs to accept based on their availability</li><li>At <a href=\"https://himalayas.app/companies/tutor-me-education\">Tutor Me Education</a>, there are always new job opportunities with hundreds of new students signing up every day!</li></ul><h3>Requirements</h3><h3>Job requirements:</h3><ul><li><strong>Previous tutoring/teaching experience highly preferred</strong></li><li><strong>Teachers/Tutors who can commit to a long-term schedule HIGHLY PREFERRED</strong></li><li>At least a Bachelor's degree</li><li>Ability to make learning fun and interactive, with the focus of the tutoring often determined by student questions and comments</li><li>Ability to pass a background check (if required)</li></ul><h3>Benefits</h3><h3>Flexible schedule!</h3><p>Work from home on your personal computer!</p><h3>Set your own hourly rate!</h3><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781802345,"expiryDate":1786986342,"applicationLink":"https://himalayas.app/companies/tutor-me-education/jobs/high-school-tutor","guid":"https://himalayas.app/companies/tutor-me-education/jobs/high-school-tutor"},{"title":"Marketing Executive","excerpt":"Job Title: Marketing Executive (Remote – USA, W2) Company: PureLogics Location: Fully Remote (United States) Employment Type: Full-Time (W2) About PureLogics:PureLogics is a leading custom software development company delivering scalable, high-quality technology solutions to global clients.","companyName":"PureLogics","companySlug":"purelogics","companyLogo":"https://cdn-images.himalayas.app/8f3esd98zsc6hy58pky3t9wobvzy","employmentType":"Full Time","minSalary":null,"maxSalary":null,"salaryPeriod":"annual","seniority":["Executive"],"currency":null,"locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["Marketing-Executive","B2B-Marketing","Digital-Marketing","Lead-Generation","Tech-Marketing","Senior-Marketing-Executive","Sales-and-Marketing-Executive","Digital-Marketing-Executive","Product-Marketing-Executive","Marketing-Account-Executive","Field-Marketing-Executive","Email-Marketing-Executive","Marketing-&-Growth-Executive"],"parentCategories":["Sales","Marketing"],"description":"<p><strong>Job Title:</strong> Marketing Executive (Remote – USA, W2)</p><p><strong>Company:</strong> <a href=\"https://himalayas.app/companies/purelogics\">PureLogics</a></p><p><strong>Location:</strong> Fully Remote (United States)</p><p><strong>Employment Type:</strong> Full-Time (W2)</p><h3>About <a href=\"https://himalayas.app/companies/purelogics\">PureLogics</a>:</h3><p><a href=\"https://himalayas.app/companies/purelogics\">PureLogics</a> is a leading custom software development company delivering scalable, high-quality technology solutions to global clients. With a strong focus on innovation and client success, we partner with startups, enterprises, and Fortune 100 companies to build impactful digital products.</p><h3>Role Overview:</h3><p>We are seeking a results-driven Marketing Executive with experience in the tech industry, specifically within custom software development. This role is fully remote within the USA and will work closely with and report directly to the CTO. The ideal candidate will be responsible for driving marketing initiatives, generating qualified leads, and enhancing brand visibility in competitive markets.</p><h3>Key Responsibilities:</h3><ul><li>Plan and execute B2B marketing strategies targeting custom software development services</li><li>Drive lead generation campaigns through digital channels, including LinkedIn, email marketing, and paid campaigns</li><li>Collaborate with the CTO to align marketing efforts with business and technical goals</li><li>Manage and optimize content strategy, including case studies, whitepapers, and website content</li><li>Conduct market research to identify target audiences, trends, and competitive positioning</li><li>Track, analyze, and report on campaign performance, KPIs, and ROI</li><li>Work closely with sales and recruitment teams to support business growth initiatives</li><li>Maintain consistent brand messaging across all channels</li></ul><h3>Requirements:</h3><ul><li>Proven experience as a Marketing Executive or similar role in the tech industry</li><li>Strong background in custom software development or IT services marketing</li><li>Experience with B2B marketing and lead generation in the US market</li><li>Hands-on experience with marketing tools (CRM, email automation, analytics platforms)</li><li>Excellent communication and reporting skills</li><li>Ability to work independently in a remote environment</li><li>Strong understanding of digital marketing channels and strategies</li></ul><h3>Preferred Qualifications:</h3><ul><li>Experience working with offshore development companies</li><li>Familiarity with SaaS, enterprise software, or digital transformation services</li><li>Prior experience reporting to senior leadership or C-level executives</li></ul><h3>What We Offer:</h3><ul><li>Fully remote work environment within the USA</li><li>Competitive W2 employment structure.</li><li>Paid Time Off (PTO)</li><li>Opportunity to work directly with executive leadership</li><li>Growth-oriented and collaborative work culture.</li></ul><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781802275,"expiryDate":1786986273,"applicationLink":"https://himalayas.app/companies/purelogics/jobs/marketing-executive","guid":"https://himalayas.app/companies/purelogics/jobs/marketing-executive"},{"title":"(Honduras) Bilingual SSDI Attorney  (U.S. Bar Licensed)","excerpt":"This is a remote position. About the RoleWe are seeking a qualified U.","companyName":"Staff Outsource Solutions","companySlug":"staff-outsource-solutions","companyLogo":"","employmentType":"Part Time","minSalary":null,"maxSalary":null,"salaryPeriod":"annual","seniority":["Mid-level"],"currency":null,"locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["Legal","Attorney","SSDI-Law","Disability-Law","Contract-Attorney","Legal-Document-Review","SSDI-Attorney","SSDI-SSDI-Attorney","Social-Security-Disability-Attorney","SSDI-Hearing-Advocate","SSDI-Advocate","Social-Security-Disability-Advocate","Bilingual-Attorney","Social-Security-Disability-Specialist"],"parentCategories":["Legal"],"description":"<h3>This is a remote position.</h3><h3><b>About the Role</b><p>We are seeking a qualified <b>U.S.-licensed attorney</b> to join our team in a <b>remote, part-time capacity</b>. The ideal candidate will either:</p><ul><li><p>Be <b>bilingual in Spanish</b>, <i>or</i></p></li><li><p>Have <b>experience practicing in SSDI law</b>.</p></li></ul><p>You’ll work closely with our client's legal team to <b>review and edit case documents, legal briefs, and supporting materials prior to submission</b>. This position offers flexible hours, a steady workload, and the potential to expand to full-time (40 hours/week) based on caseload and performance.</p><div><h3><b>Key Responsibilities</b><ul><li><p>Review, edit, and finalize legal documents and briefs for submission.</p></li><li><p>Ensure compliance with applicable legal standards and court requirements.</p></li><li><p>Collaborate with other attorneys and staff to maintain consistency and quality in filings.</p></li><li><p>Provide insights and recommendations for case improvement where applicable.</p></li></ul><br></h3><h3>Requirements</h3><h3><b>Qualifications</b><ul><li><p><b>Active U.S. Bar Membership</b> in at least one state (required).</p></li><li><p><b>Experience in SSDI law</b> or <b>fluency in Spanish</b> (required — either qualification acceptable).</p></li><li><p>Strong legal writing, editing, and analytical skills.</p></li><li><p>Ability to manage workload independently while meeting deadlines.</p></li><li><p>Must reside <b>outside the U.S.</b> (overseas candidates preferred).</p></li></ul><div><h3><b>Details</b><ul><li><p><b>Hours:</b> 30 hours per week (option to increase to 40 based on caseload)</p></li><li><p><b>Location:</b> Fully remote (international/overseas candidates encouraged)</p></li><li><p><b>Compensation:</b> Competitive, commensurate with experience</p></li></ul><br></h3></div></h3></div></h3><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781802002,"expiryDate":1786986001,"applicationLink":"https://himalayas.app/companies/staff-outsource-solutions/jobs/honduras-bilingual-ssdi-attorney-u-s-bar-licensed-3178347563","guid":"https://himalayas.app/companies/staff-outsource-solutions/jobs/honduras-bilingual-ssdi-attorney-u-s-bar-licensed-3178347563"},{"title":"Software Engineer","excerpt":"RockX is a digital asset services platform that aims to unlock the total value of digital assets and decentralised governance mechanisms for token holders and those seeking to enter the digital asset market.","companyName":"RockX","companySlug":"rockx","companyLogo":"","employmentType":"Full Time","minSalary":null,"maxSalary":null,"salaryPeriod":"annual","seniority":["Mid-level"],"currency":null,"locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["Software-Engineering","Blockchain-Development","Backend-Engineering","Software-Engineer","Software-Development-Engineer","Software-Engineer-Jobs","Software-Engineering-Jobs","Product-Software-Engineer","Developer"],"parentCategories":["Developer"],"description":"<p><a href=\"https://himalayas.app/companies/rockx\">RockX</a> is a digital asset services platform that aims to unlock the total value of digital assets and decentralised governance mechanisms for token holders and those seeking to enter the digital asset market. <a href=\"https://himalayas.app/companies/rockx\">RockX</a> will drive the mass adoption of digital assets by providing sophisticated services for cryptocurrency markets while accelerating public blockchains' development and ecosystems. Initially launching with a secure Staking-as-a-Service platform, <a href=\"https://himalayas.app/companies/rockx\">RockX</a> plans to roll out additional services and products to serve as a trusted one-stop platform for all market participants.</p><p>It was founded by entrepreneurs with diverse economics, finance, and technology background and years of experience in the blockchain ecosystem. The company is looking for a highly motivated blockchain engineer to participate in the project to build a world-class blockchain staking platform.</p><p>We provide competitive salaries and benefits, a flexible, creative, and agile working environment, and exposure to the latest technologies. The role is a full-time remote position</p><h3><strong>Duties &amp; Responsibilities</strong></h3><ul><li><p>Work with other team members to develop internal applications as well as external products</p></li><li><p>Work on projects on top of various blockchain technologies</p></li></ul><h3><strong>Qualifications</strong></h3><ul><li><p>Bachelor’s degree (or higher) in computer science, computer engineering, electrical engineering, or other relevant disciplines</p></li><li><h3>Preferably 2 ~ 5 years of experience</h3></li><li><h3>Solid computer science fundamentals</h3></li><li><p>Solid skills with at least one programming language such as Golang, Rust, Java, Python, C++, C#, Scala, Haskell, etc</p></li><li><p>Solid understanding of computer engineering / system design principles</p></li><li><p>Familiar with SDLC and agile methodologies</p></li><li><p>Interest in blockchain technology and quick learner</p></li><li><p>Knowledge of blockchain, networking, cryptography will be a plus</p></li><li><p>Can-do mindset, critical thinking and pursuit of engineering excellence</p></li></ul><ul><li><p>Being both a great individual programmer and a great team player</p></li></ul><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781802002,"expiryDate":1786986001,"applicationLink":"https://himalayas.app/companies/rockx/jobs/software-engineer","guid":"https://himalayas.app/companies/rockx/jobs/software-engineer"},{"title":"Remote | Kannada-English AI Safety Red Team Evaluator — $20–$30/hour","excerpt":"We are sharing a specialised part-time consulting opportunity for Kannada-English bilingual professionals experienced in AI safety evaluation, red team testing, adversarial review, vulnerability classification, and structured feedback on sensitive text-based AI outputs.","companyName":"24-MAG","companySlug":"24-mag","companyLogo":"https://cdn-images.himalayas.app/db3pmyv6awe4fkwvx9du7mnrvi4n","employmentType":"Contractor","minSalary":20,"maxSalary":30,"salaryPeriod":"hourly","seniority":["Mid-level"],"currency":"USD","locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["AI-Safety-Engineering","Red-Team-Testing","AI-Evaluation","Trust-and-Safety","Bilingual-AI-Testing","Remote-AI-Evaluator","Freelance-AI-Red-Team-Specialist"],"parentCategories":[],"description":"<p><strong>We are sharing a specialised part-time consulting opportunity for Kannada-English bilingual professionals experienced in AI safety evaluation, red team testing, adversarial review, vulnerability classification, and structured feedback on sensitive text-based AI outputs.</strong></p><p>This role supports current and upcoming remote consulting opportunities focused on AI safety evaluation, bilingual red team testing, conversational model assessment, misuse-risk review, vulnerability annotation, and high-quality project execution. Selected professionals will test AI systems using structured adversarial scenarios, identify safety weaknesses, classify risks, and produce clear English-language evaluation artifacts across English and Kannada contexts.</p><h3>Key Responsibilities</h3><h3>Professionals in this role may contribute to:</h3><h3>Bilingual AI Safety &amp; Red Team Testing</h3><ul><li>Review English and Kannada AI outputs for safety, reliability, bias, misinformation, and harmful-behavior risks</li><li>Stress-test conversational AI models and agents using structured adversarial scenarios</li><li>Evaluate model behavior across multi-turn conversations, sensitive topics, and edge-case prompts</li><li>Identify vulnerabilities that require stronger safety controls, clearer refusals, or improved response quality</li></ul><h3>Vulnerability Classification &amp; Risk Review</h3><ul><li>Annotate failures, classify vulnerabilities, and flag recurring safety patterns</li><li>Apply taxonomies, benchmarks, and project-specific playbooks to keep testing consistent</li><li>Assess misuse cases, bias exploitation, prompt-injection scenarios, and socio-technical risk patterns at a high level</li><li>Generate high-quality human evaluation data through careful review and structured judgment</li></ul><h3>Reproducible Documentation &amp; Evaluation Artifacts</h3><ul><li>Produce clear reports, datasets, test cases, and written summaries that support model improvement</li><li>Document findings reproducibly so results can be reviewed, compared, and acted upon</li><li>Explain risks clearly for both technical and non-technical audiences</li><li>Maintain accuracy, consistency, and strong attention to detail across submitted evaluations</li></ul><h3>Ideal Profile</h3><h3>Strong candidates may have:</h3><ul><li>Native-level fluency in both English and Kannada</li><li>Prior experience in AI red teaming, adversarial testing, cybersecurity, trust and safety, socio-technical risk review, or conversational AI evaluation</li><li>Ability to think adversarially while staying structured, careful, and methodical</li><li>Experience using frameworks, benchmarks, or rubrics rather than unstructured testing alone</li><li>Strong written communication skills and ability to explain safety findings clearly</li><li>Comfort reviewing text-based content involving sensitive topics under clear guidelines</li><li>Adaptability across project types, safety categories, and evaluation workflows</li></ul><h3>Educational Background</h3><ul><li>Formal degree requirements may vary based on project needs</li><li>Backgrounds in AI safety, cybersecurity, linguistics, policy, trust and safety, social science, psychology, writing, data evaluation, or technical analysis may be highly relevant</li><li>Practical experience in red team testing, model evaluation, content risk analysis, or structured review work may also be valuable</li></ul><h3>Nice to Have</h3><ul><li>Experience with adversarial ML concepts, jailbreak datasets, prompt injection, RLHF/DPO attack patterns, or model behavior testing</li><li>Cybersecurity experience such as penetration testing, exploit analysis, reverse engineering, or security assessment</li><li>Socio-technical risk experience involving harassment, misinformation, abuse analysis, bias testing, or conversational AI safety</li><li>Creative probing background, including psychology, acting, writing, role-play design, or unconventional adversarial thinking</li><li>Experience producing reproducible reports, labeled datasets, structured risk notes, or benchmark-style evaluation artifacts</li></ul><h3>Why This Opportunity</h3><ul><li>Apply Kannada-English bilingual expertise to structured AI safety and red team evaluation work</li><li>Contribute to stronger, safer, and more reliable AI systems through careful adversarial testing</li><li>Work on flexible assignments aligned with language skills, safety judgment, and structured analysis</li><li>Build experience in human data-driven AI safety evaluation and bilingual risk review</li><li>Remote structure with competitive hourly compensation</li></ul><h3>Contract Details</h3><ul><li>Independent contractor role</li><li>Fully remote with flexible scheduling</li><li>Eligible professionals may be based in approved project locations depending on project needs</li><li>Native-level English and Kannada fluency are required for project work</li><li>Work is text-based and may involve sensitive topics such as bias, misinformation, harassment, or harmful-behavior risks</li><li>Topic areas will be communicated before exposure to content, and participation in higher-sensitivity projects may depend on candidate comfort and project fit</li><li>Part-time commitment depending on project availability</li><li>Competitive rates between $20–$30 per hour depending on expertise and project scope</li><li>Weekly payments via Stripe or Wise</li><li>Projects may be extended, shortened, or adjusted depending on scope and performance</li><li>Work will not involve access to confidential or proprietary information from any employer, client, or institution</li></ul><h3>About the Platform</h3><p>This opportunity is available through <a href=\"https://himalayas.app/companies/24-mag\">24-MAG</a> LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.</p><p>By submitting this application, you acknowledge that your information may be processed by <a href=\"https://himalayas.app/companies/24-mag\">24-MAG</a> LLC for recruitment and opportunity matching in accordance with our Privacy Policy: <a href=\"https://www.24-mag.com/privacy-policy\" rel=\"nofollow ugc noopener noreferrer\" target=\"_blank\">https://www.24-mag.com/privacy-policy</a>.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781801986,"expiryDate":1786985985,"applicationLink":"https://himalayas.app/companies/24-mag/jobs/remote-kannada-english-ai-safety-red-team-evaluator-20-30-hour","guid":"https://himalayas.app/companies/24-mag/jobs/remote-kannada-english-ai-safety-red-team-evaluator-20-30-hour"},{"title":"Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)","excerpt":"The pay range is $132,000. 00 - $286,000. 00Pay is based on several factors which vary based on position.","companyName":"Target","companySlug":"target","companyLogo":"https://cdn-images.himalayas.app/zzjr8h46gt6nagc1w6pzypos1ico","employmentType":"Full Time","minSalary":132000,"maxSalary":286000,"salaryPeriod":"annual","seniority":["Senior"],"currency":"USD","locationRestrictions":["United States"],"timezoneRestrictions":[-10,-9,-8,-7,-6,-5,14],"categories":["Applied-Data-Science","Machine-Learning-Engineering","Deep-Learning","Recommendation-Systems","Data-Science","Lead-AI-ML-Scientist","Applied-AI-ML-Scientist","Lead-Data-Scientist","Senior-Applied-ML-Engineer","Senior-Machine-Learning-Data-Scientist","Lead-AI-ML-Engineer","Applied-Machine-Learning-Scientist","Data-Science-Lead","Senior-Applied-AI-Engineer"],"parentCategories":["Data Science"],"description":"The pay range is $132,000.00 - $286,000.00<p style=\"text-align:left\">Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, <a href=\"https://himalayas.app/companies/target\">Target</a> cares about and invests in you as a team member, so that you can take care of yourself and your family. <a href=\"https://himalayas.app/companies/target\">Target</a> offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at <a href=\"https://corporate.target.com/careers/benefits\" rel=\"nofollow ugc noopener noreferrer\" target=\"_blank\">https://corporate.target.com/careers/benefits</a>.</p><p><b>JOIN TARGET AS A LEAD DATA SCIENTIST – DIGITAL ITEM RECOMMENDATIONS (RECSYS)</b></p><h3>About Us:</h3><p>Working at <a href=\"https://himalayas.app/companies/target\">Target</a> means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. <a href=\"https://corporate.target.com/about\" rel=\"nofollow ugc noopener noreferrer\" target=\"_blank\">Learn more about </a><a href=\"https://himalayas.app/companies/target\">Target</a> here. </p><p>A role with <a href=\"https://himalayas.app/companies/target\">Target</a> Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you’ll be challenged to harness <a href=\"https://himalayas.app/companies/target\">Target</a>’s impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on.  </p><p>As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power <a href=\"https://himalayas.app/companies/target\">Target</a>'s digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at massive scale.</p><p>You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across <a href=\"https://himalayas.app/companies/target\">Target</a>'s digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of <a href=\"https://himalayas.app/companies/target\">Target</a>'s recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.</p><p>Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of <a href=\"https://himalayas.app/companies/target\">Target</a>'s data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.</p><p>Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.</p><h3>About you:</h3><ul><li>MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant industry experience</li><li>5 plus years of experience leading the development, evaluation and deployment of machine learning (ML) solutions while partnering with engineering teams to deliver scalable production systems</li><li>Demonstrated experience building and scaling recommendation, personalization, ranking, retrieval, or search machine learning systems</li><li>Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX</li><li>Experience leveraging modern AI and Generative AI tools to accelerate development, experimentation and model delivery</li><li>Experience working with large-scale data processing and analytics platforms such as Spark or equivalent</li><li>Deep understanding of machine learning, deep learning, optimization, statistics, probability and experimental design</li><li>Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions</li><li>Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions</li><li>Ability to influence technical direction and drive alignment across product, engineering and business stakeholders</li><li>Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences</li><li>Ability to mentor applied data scientist and help establish best practices for AI/ML and cloud-native development</li><li>Self-driven, results-oriented and able to meet tight deadlines </li><li>Motivated team player who thrives in a collaborative and global environment</li></ul>This position may be considered for a Remote or Hybrid (known internally at <a href=\"https://himalayas.app/companies/target\">Target</a> as \"Flex for Your Day\") work arrangement based on <a href=\"https://himalayas.app/companies/target\">Target</a>'s needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a <a href=\"https://himalayas.app/companies/target\">Target</a> location, does not have a desk at a <a href=\"https://himalayas.app/companies/target\">Target</a> location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a <a href=\"https://himalayas.app/companies/target\">Target</a> location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by <a href=\"https://himalayas.app/companies/target\">Target</a>.<h3>Benefits Eligibility</h3>Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E<h3>Americans with Disabilities Act (ADA)</h3><p>In compliance with state and federal laws, <a href=\"https://himalayas.app/companies/target\">Target</a> will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.<a href=\"https://himalayas.app/companies/target\">Target</a>.com.Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.  </p>Application deadline is :   07/09/2026<p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>","pubDate":1781801986,"expiryDate":1786985985,"applicationLink":"https://himalayas.app/companies/target/jobs/lead-applied-data-scientist-digital-item-recsys-applied-ml-deep-learning","guid":"https://himalayas.app/companies/target/jobs/lead-applied-data-scientist-digital-item-recsys-applied-ml-deep-learning"}]}