ai/ml specialist

Snowflake

<div><div><p>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.</p><p><b>
Position Overview:</b> We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.</p><p></p><div>
KEY RESPONSIBILITIES:</div><ul><li><p><b>
Solution Selling:</b></p><ul><li><p>
The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.</p></li></ul></li><li><p><b>
Strategic Leadership:</b></p><ul><li><p>
Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.</p></li><li><p>
Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.</p></li></ul></li><li><p><b>
Technical Expertise:</b></p><ul><li><p>
Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.</p></li><li><p>
Provide hands-on technical guidance to AI/ML teams during critical projects.</p></li><li><p>
Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.</p></li></ul></li><li><p><b>
Customer Engagement:</b></p><ul><li><p>
Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.</p></li><li><p>
Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.</p></li></ul></li><li><p><b>
Team Collaboration:</b></p><ul><li><p>
Collaborate with product teams, fostering a culture of innovation, learning, and excellence.</p></li><li><p>
Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.</p></li><li><p>
Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.</p></li></ul></li></ul><p></p><div>
TECHNICAL REQUIREMENTS:</div><ul><li><p><b>
Essential</b></p><ul><li><p><b>
Generative AI: </b>Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents</p></li><li><p><b>
Machine Learning: </b>Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.</p></li><li><p><b>
Programming</b>: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)</p></li><li><p><b>
Solution Design:</b> Demonstrated ability to architect complex, scalable solutions across diverse industries</p></li></ul></li><p></p><li><p><b>
Highly Desirable</b></p><ul><li><p><b>
Snowflake Experience:</b> experience with the Snowflake AI/ML ecosystem</p></li><li><p><b>
Data Engineering: </b>while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial</p></li><li><p><b>
ML Ops</b>: Experience in ML Ops including feature stores, model registries, observability</p></li><li><p><b>
DevOps and CI/CD:</b> Experience of DevOps practices and CI/CD pipelines</p></li></ul></li></ul><p></p><div>
PERSONAL ATTRIBUTES:</div><ul><li><p><b>
Visionary Thinking:</b> Ability to anticipate industry trends and align technical sales strategies accordingly.</p></li><li><p><b>
Exceptional Communication:</b> Skilled at translating complex technical concepts into accessible language for diverse audiences.</p></li><li><p><b>
Customer-Centric:</b> Deeply invested in understanding and addressing customer needs.</p></li><li><p><b>
Collaborative Leadership:</b> Proven ability to inspire, mentor, and unify cross-functional teams.</p></li><li><p><b>
Resilience:</b> Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.</p></li><li><p><b>
Integrity and Empathy:</b> Embodying transparency, honesty, and understanding in all professional interactions.</p></li><li><p><b>
Internal Motivation:</b> Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.</p></li></ul><p></p><p><b>
Why Join Us?</b> This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.</p><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</p></div></div>

AI Specialist

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.</p><p>
As a Machine Learning Engineer &ndash; Document Digitization (LLMs)- Senior Associate in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.</p><p><b>
Job responsibilities</b></p><ul><li>
Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.</li><li>
Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.</li><li>
Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.</li><li>
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.</li><li>
Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).</li><li>
Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.</li><li>
Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.</li><li>
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.</li><li>
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.</li><li>
Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.</li><li>
Contribute to communities of practice and explore new and emerging technologies.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.</li><li>
Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).</li><li>
Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.</li><li>
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).</li><li>
Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.</li><li>
Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).</li><li>
Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).</li><li>
Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.</li><li>
Strong understanding of SDLC, CI/CD, resiliency, and security practices.</li><li>
Demonstrated ability to accelerate development using AI technologies.</li><li>
Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience in financial services, especially investment banking or credit risk operations</li><li>
Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs</li><li>
Familiarity with distributed computing, data sharing, and DDP training</li><li>
Experience in design/code reviews and mentoring teams</li><li>
AWS Generative AI Developer Professional certification or equivalent</li></ul>
<b>ABOUT US</b><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&rsquo;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&rsquo; and employees&rsquo; 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>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

The Associated Press

<div><p>The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day.</p><div><div><p>
The Associated Press&rsquo; Metadata and Data Science Team seeks a Data Scientist based in New York, NY.<br>
</p></div><p></p><div><p><b>Why this role matters:
</b></p></div><div><p>The Data Scientist will design and implement data science and applied machine learning solutions supporting new product development, search and discovery on platform, content enrichment and metadata generation. As a member of cross-functional project teams, the Data Scientist will perform data analysis, evaluate commercial and open-source models, and deliver solutions with real-world impact.</p></div><div><p>
The team works closely with various departments and functions across the organization to design, implement and manage end-to-end content metadata, to maintain the integrity of schema standards, and to build solutions with data, analytics and machine learning methods.</p></div><div><p><br>
</p></div><div><p><b>What you will do:
</b></p></div><div><ul><li><p>Evaluate, fine-tune, and maintain statistical and machine learning models used in run-time production environments, measuring and communicating performance improvements to stakeholders</p></li></ul></div><div><ul><li><p>
Partner with cross-functional teams to design and optimize AI/ML solutions that deliver new product capabilities and internal workflow improvements, using news articles, photos, videos, election results, and other news data</p></li></ul></div><div><ul><li><p>
Research, evaluate, and recommend models and methodologies across the AI/ML landscape, presenting recommended solutions to technical and non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Identify and address gaps in model quality and performance metrics, synthesizing findings into clear, actionable recommendations</p></li></ul></div><div><ul><li><p>
Contribute to the design and enhancement of data and ML pipelines, including multimodal embedding generation and knowledge extraction, with a focus on accuracy, efficiency, and scalability</p></li></ul></div><div><ul><li><p>
Design user-centered solutions and search algorithms focused on quality and performance</p></li></ul></div><div><ul><li><p>
Stay current with emerging technologies and advances in NLP, machine learning, and data science, proactively surfacing opportunities for improvement</p></li></ul></div><div><ul><li><p>
Support the full model development lifecycle, from problem definition and prototyping through integration, deployment, monitoring, and iteration</p></li></ul></div><div><ul><li><p>
Communicate analysis and present findings clearly, adapting to a range of technical and business audiences</p></li></ul></div></div><p></p><div><div><p><b><br>
Who you are:</b></p></div><div><ul><li><p>
3+ years of relevant data science experience, with strong proficiency in Python including NumPy, Pandas, and large-scale semi-structured JSON data</p></li></ul></div><div><ul><li><p>
Bachelor's degree in Data Science or Computer Science
</p></li></ul></div><div><ul><li><p>Experienced applying core machine learning methods including classification, clustering, regression, and ranking</p></li></ul></div><div><ul><li><p>
Hands-on experience with NLP techniques such as entity recognition, disambiguation, semantic similarity, and embedding-based retrieval</p></li></ul></div><div><ul><li><p>
Experience with transformer models for structured extraction, classification, summarization, and generation</p></li></ul></div><div><ul><li><p>
Experience with hybrid search algorithms, retrieval pipelines, intent detection, query expansion, and relevance tuning in Elasticsearch or OpenSearch</p></li></ul></div><div><ul><li><p>
Experience working with both language and multimodal models</p></li></ul></div><div><ul><li><p>
Experience and comfort working with real-world data, including text and visuals, at scale
</p></li></ul></div><div><ul><li><p>Familiar with ML engineering and ML Ops practices, with a track record of delivering runtime solutions</p></li></ul></div><div><ul><li><p>
Familiarity with cohort analysis, session segmentation, A/B testing, and confidence calibration</p></li></ul></div><div><ul><li><p>
Analytical and curious, with strong problem-solving skills and a practical focus on high-impact, cost-aware solutions</p></li></ul></div><div><ul><li><p>
Able to effectively manage multiple project deliverables simultaneously
</p></li></ul></div><div><ul><li><p>Comfortable being accountable for deliverables across the full product development lifecycle, from problem definition through launch and iteration</p></li></ul></div><div><ul><li><p>
An effective communicator who can tailor analysis and presentations to both technical and non-technical audiences</p></li></ul></div><div><ul><li><p>
Collaborative and empathetic, with a genuine focus on user impact and a desire to grow data literacy across the organization</p></li></ul></div><div><ul><li><p>
Advanced-level professional competency in written and spoken English</p></li></ul></div><div><ul><li><p>
Authorization to work in the United States for any employer</p></li></ul></div><div><p><br>
</p></div></div><div><div><p><b>What will set you apart:</b></p></div><div><ul><li><p>
Experience in news media or working with news as data strongly preferred</p></li></ul></div><div><ul><li><p>
Master's degree in Data Science or a related field</p></li></ul></div><div><ul><li><p>
Familiarity with graph data models and designing entity-relationship schemas</p></li></ul></div><div><ul><li><p>
Eagerness to learn the technical nuances of large-scale media operations and identify opportunities within evolving systems</p></li></ul></div><p></p><div><p><b><br>
Location:
</b></p><p>This role is based in New York City with a hybrid work schedule. AP employees are onsite three days a week, Tuesday, Wednesday and Thursday. Local candidates are preferred, but all qualified applicants are encouraged to apply.</p></div><p></p><div><div><p><b><br>
Why join us:
</b></p></div><div><ul><li><p>A mission-driven, inclusive environment focused on both individual and collective success.
</p></li></ul></div><div><ul><li><p>Opportunities for professional development to help you reach your career goals.
</p></li></ul></div><div><ul><li><p>Access to tools, mentorship, and resources tailored to elevate your proficiency and contributions.</p></li></ul><p><br>
</p></div></div><div><p><b>Salary &amp; Benefits:</b>
</p></div><div><p>The anticipated salary range for this position is <b>$116,000 &ndash; $130,000</b>, based on a candidate&rsquo;s skills, qualifications, and location. The Associated Press offers comprehensive benefits, which include:
</p></div><div><ul><li><p>Competitive medical, dental and vision coverage
</p></li></ul></div><div><ul><li><p>Retirement benefits
</p></li></ul></div><div><ul><li><p>Company paid life insurance
</p></li></ul></div><div><ul><li><p>Paid vacation and sick days
</p></li></ul></div><div><ul><li><p>Paid parental leave for any new parent
</p></li></ul></div><div><ul><li><p>Mental well-being resources<br>
</p></li></ul></div></div><p></p><p>AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.</p></div><p></p>

Data Scientist

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit SBSEG Data Science has an exciting opportunity to be part of the fast-growing Sales and Mid-market Data Science Capabilities team that plays a critical role in driving growth in Sales with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit&rsquo;s Big Bet initiatives.</div><br>
<div></div>
<div>
The Sales Data Science Capabilities team is responsible for (1) Building AI/ML Native Capabilities such as product recommendation and lead scoring models for the Sales teams to maximize conversions, and enhance Seller productivity and Efficiency; 2) Providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing;</div><br>
<div></div>
<div>
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.</div><p><b><br>
Responsibilities</b></p><ul>
<li>
Develop ML models and LLM applications to address business problems.</li>
<li>Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.</li>
<li>Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.</li>
<li>Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.</li>
<li>Proactive explore and identify new business opportunities to help business partners to achieve business goals.</li>
<li>Communicate data and insights effectively to business partners of all levels including the senior leadership team.</li>
<li>Coach and develop junior data scientists on the team.</li></ul><p><b><br>
Qualifications</b></p><ul>
<li>
10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.</li>
<li>Highly proficient in SQL, Python and data story telling.</li>
<li>Multiple years of Hands On experience in developing and deploying AI/ML models, LLMs, etc.</li>
<li>Ability to create analytical framework for solving complex business problems with proven track record.</li>
<li>Ability to manage multiple projects simultaneously to meet objectives.</li>
<li>Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.</li>
<li>Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Senior Staff Data Scientist (Global Business Solutions Group)

Starbucks

<div><p><b>Now Brewing &ndash; Lead Data Scientist, Data &amp; Analytics! #tobeapartner</b></p><p>
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.</p><p>
Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world&rsquo;s leading coffeehouse brand?</p><p>
As a Lead Data Scientist on the Digital Data Science team, you will lead the development of advanced AI/ML models powering personalization &amp; recommendations for Starbucks digital surfaces such as the mobile app, web, digital menu boards and digital drive thru screens. You will drive the evolution of existing models and apply rigorous statistical methods to help achieve 1:1 personalization at the customer level, contextual personalization based on external signals and operational personalization that aligns with our ecosystem of stores. Your work will directly impact millions of Starbucks customers and coffee occasions at scale.</p><p>
The D&amp;A organization spans four key pillars: Customer, Retail Operations, Supply Chain, and Enterprise. Each domain is focused on solving unique and complex challenges through data science. Whether personalizing marketing campaigns, optimizing store operations, improving inventory flow, or unlocking enterprise-wide initiatives, our data scientists apply advanced analytics, experimentation, and modeling to elevate the Starbucks experience. This centralized recruiting approach allows us to match candidates with the most relevant opportunities based on their skills and interests, ensuring alignment with business needs and personal growth. Join a team where data meets purpose to shape what&rsquo;s next for Starbucks.</p><p></p><p><b><i><br>
As a lead data scientist, you will&hellip;</i></b></p><p></p><ul><li><br>
 Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.</li><li> Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs</li><li> Mentor data analysts &amp; data scientists on best practices, processes, frameworks, and KPIs</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li></ul><p></p><p><b><i><br>
We&rsquo;d love to hear from people with:</i></b></p><ul><li> Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Master&rsquo;s and/or PhD preferred</li><li> Minimum of 8+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference</li><li> Demonstrated track record of delivering AI/ML models into production with measurable business impact, including expertise in evaluation techniques (A/B testing, lift analysis) and model governance</li><li> Strong problem-solving skills with the ability to influence leadership teams at different levels</li><li> Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.</li><li> Advanced competency and expertise in Python, R, or some combination</li><li> Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala</li><li> Strong collaboration instincts &ndash; desire &amp; ability to work with partners to achieve the best outcome for the business.</li><li> Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds.</li><li> Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.</li></ul><p></p><p><b><i><br>
Preferred skills:</i></b></p><ul><li> Experience building personalization and recommendation systems (e.g., collaborative filtering, content-based, or hybrid approaches) for digital platforms or mobile apps.</li><li> Familiarity with ranking algorithms, reinforcement learning, and contextual bandits for optimizing customer experiences.</li><li> Hands-on experience with model deployment in production environments, including monitoring, retraining, and performance optimization at scale.</li><li> Strong understanding of offline and online evaluation techniques for recommendation systems (e.g., precision/recall, NDCG, A/B testing).</li><li> Knowledge of feature engineering for behavioral and transactional data, and experience leveraging real-time data streams for model updates.</li></ul><p></p><p><br>
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.</p><ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul><p></p><p><br>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.</p><p></p><p><br>
We believe we do our best work when we're together, which is why we're onsite four days a week.</p><p></p><p><b><br>
Join us and inspire with every cup. Apply today!</b></p><p><i>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.</i></p><p><i>
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.</i></p><p><i>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at </i><i>applicantaccommodation@starbucks.com</i><i>.</i></p></div>

lead data scientist - Seattle, WA

RELX Group

<p></p><div><div><b>About our Team:</b></div><div><p><br>
LexisNexis Legal &amp; Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today&rsquo;s top model creators for each individual legal use case.</p><p></p><p><b>
About the Role:</b></p><p></p><p><b>
Are you looking to develop your Data Scientist career?</b></p><p><b>
Do you enjoy coaching others to achieve high standards?</b></p><p></p><p>
We are seeking a <b>Senior Data Scientist III </b>to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining <i>what to build and why</i>&mdash;leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.</p><p></p><p>
You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Lead experimentation and model development for AI/ML solutions in legal products.</p></li><li><p>
Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</p></li><li><p>
Define agentic workflows and reasoning strategies for multi-step legal tasks.</p></li><li><p>
Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</p></li><li><p>
Analyze large-scale legal datasets to extract insights and improve model performance.</p></li><li><p>
Establish best practices for model evaluation, validation, and benchmarking.</p></li><li><p>
Translate experimental results into clear product recommendations and business impact.</p></li><li><p>
Collaborate with product, legal experts, and engineers to align solutions with user needs.</p></li><li><p>
Mentor team members and provide technical leadership in data science and AI.</p></li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</p></li><li><p>
Strong experience in machine learning, NLP, and LLM-based modeling.</p></li><li><p>
Proven experience designing and running experiments, including model evaluation and iteration.</p></li><li><p>
Experience with generative AI techniques (e.g., prompt engineering, RAG).</p></li><li><p>
Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</p></li><li><p>
Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</p></li><li><p>
Proficiency in Python and data analysis tools.</p></li><li><p>
Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</p></li><li><p>
Able to analyze large-scale legal datasets to extract insights and improve model performance.</p></li></ul></div><p></p><p>
#AIFluent</p>
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here</b><b> to access benefits specific to your location.</b></p><p></p><p>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.</p><p></p><p><b>
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</p><p></p><p><b><i>
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EEO Know Your Rights.</p></div>

Senior Data Scientist III - Agentic AI

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about Machine Learning, Deep Learning, and Artificial Intelligence? Join AWS as a Generative AI and Machine Learning Specialist Solutions Architect in the MENAT region, where you'll drive cutting-edge AI initiatives and business transformation. As a Subject Matter Expert for designing machine learning solutions, you'll leverage AWS services to automate solutions and reduce costs for customers.
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You'll partner closely with GenAI/ML specialist sales teams along with field teams to enable large-scale customer use cases and drive adoption of AWS GenAI/ML solutions. Your expertise will shape machine learning architectures, develop technical assets, and create field enablement materials that help other Solutions Architects integrate AWS GenAI/ML solutions into customer environments. This role offers an exciting opportunity to be at the forefront of GenAI innovation in a region implementing numerous transformative AI initiatives.<br>
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Key job responsibilities<br>
<ul><li>Design and architect scalable, secure, and innovative GenAI solutions that leverage AWS services to solve complex customer challenges and drive business transformation.</li><li>Build and maintain technical trusted advisor relationships with influential technical decision makers for successful adoption and deployment of AWS GenAI/ML services and technologies.</li><li>Evangelize current and future AWS GenAI and ML services through white papers, blogs, reference implementations, and presentations to enable customers and partners.</li><li>Capture and share best-practice knowledge amongst the AWS solutions architect community, creating field enablement materials for the broader SA population.</li><li>Work collaboratively with sales teams to create and execute business plans that accelerate AWS adoption, exceed revenue goals, and drive customer satisfaction with GenAI/ML solutions.</li></ul><br>
A day in the life<br>
Your day begins with a technical deep dive with a customer's AI team to understand their GenAI requirements and propose architecture solutions using Amazon Bedrock and SageMaker. Later, you'll collaborate with sales colleagues on business plans for driving AI adoption, then spend time developing a reference architecture for a RAG solution that addresses common customer needs. You might finish by drafting a technical blog on implementing ML solutions or conducting a workshop to demonstrate AI capabilities to potential customers.<br>
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About the team<br>
You'll join AWS's innovative team in the MENAT region where numerous AI initiatives are being driven. As part of the AGS MENAT Specialist organization, you'll work alongside talented technical professionals who are transforming how businesses leverage AI technologies. The team fosters an inclusive culture that values continuous learning and professional growth, providing opportunities to collaborate on groundbreaking projects that shape the future of AI adoption across diverse industries in the region.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
- - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 5+ years of professional or military experience<br>
- - 10+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience<br>
- - Experience building services using AWS products<br>
- - Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows.<br>
- - Proficiency in Python and experience with GenAI frameworks (LangChain, LlamaIndex, etc.) and model APIs.<br>
- - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions.<br>
- - Experience in leading executive briefings and customer workshops focused on GenAI strategy, use case development, and prototype demonstrations.</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
- - Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD<br>
- - Experience prioritizing competing demands, scoping large efforts, and negotiating timelines<br>
- - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry<br>
- - Experience conveying complex technical concepts to both technical and business audiences<br>
- - Publications or presentations in recognized GenAI, NLP, or ML journals or conferences.<br>
- - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments.<br>
- - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude, Llama, Titan models), Amazon SageMaker JumpStart, Amazon Q, and related AWS services (Lambda, Step Functions, ECS/EKS, API Gateway).<br>
- - Experience with GenAI security patterns, responsible AI practices, and model governance.<br>
- - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts.<br>
- - Ability to think strategically about business, product, and technical problems in the GenAI space and develop strategic, data-driven approaches.<br>
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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></div>

Solutions Architect III, AGS MENAT Specialist Team

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