machine learning scientist

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p>
Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?</p><p></p><p>
Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex computational problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power various aspects of highly complex travel searches, recommendations and advertising.</p><p></p><div><p>
This is your opportunity to build the core algorithms that drive Expedia Group's advertising marketplace. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive a global ecosystem of advertising partners and millions of travelers across Expedia Group&rsquo;s B2C and B2B platforms.
</p></div><p></p><div><p><b>What You'll Do</b><b>
</b></p></div><div><ul><li><p><b>Design &amp; Implement ML Solutions</b>: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
</p></li></ul></div><div><ul><li><p><b>Test, Learn, and Iterate</b>: Design and analyze tests to validate your models and quantify their business impact and design future iterations.
</p></li></ul></div><div><ul><li><p><b>Collaborate and Communicate</b>: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.
</p></li></ul></div><p></p><div><p><b>Who you are</b><b>
</b></p></div><div><p>Experience &amp; Education
</p></div><div><ul><li><p><b>PhD or MS</b> in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
</p></li></ul></div><div><ul><li><p><b>3</b><b>+ y</b><b>ears</b> of hands-on industry experience building and deploying machine learning models to solve real-world problems.
</p></li></ul></div><p></p><div><p>Functional &amp; Technical Skills
</p></div><div><ul><li><p><b>Expertise</b><b> in applied ML:</b> Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
</p></li></ul></div><div><ul><li><p><b>Technical Fluency:</b> Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.
</p></li></ul></div><div><ul><li><p><b>First-Principles Problem Solver:</b> Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.
</p></li></ul></div><p></p><div><p>Highly Desired Experience
</p></div><div><ul><li><p>Domain knowledge in online advertising or e-commerce.
</p></li></ul></div><div><ul><li><p>Experience building and deploying models using GenAI/LLM technologies.
</p></li></ul></div><p></p><p><b>Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist

Scale AI

<div><p><b>About Scale</b></p>
<p>
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.</p>
<p><b>
About This Role</b></p>
<p>
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. <b>You will contribute to impactful research on language model reasoning</b>, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>
<p><b>
Ideally, you'd have:</b></p>
<ul>
<li><p>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.</p>
</li>
<li><p>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).</p>
</li>
<li><p>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.</p>
</li>
<li><p>Strong written and verbal communication skills, along with the ability to work effectively across teams.</p>
</li>
</ul><p><b>Nice to have:</b></p>
<ul>
<li><p>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.</p>
</li>
<li><p>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.</p>
</li>
<li><p>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.</p>
</li>
<li><p>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.</p>
</li>
<li><p>Proficiency in cloud-based ML development, with experience in AWS or GCP environments.</p>
</li>
</ul><p>Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. <b>We do not conduct LeetCode-style problem-solving assessments.</b></p><div><p><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></p>
<p><b>
About Us:</b></p>
<p><i>
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</i></p>
<p><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></p>
<p><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></p>
<p><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></p>
<p><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></p></div></div>

Machine Learning Research Scientist / Engineer, Reasoning

Nykaa

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  Nykaa is a digitally native, consumer-tech company that offers a wide range of beauty, personal care and fashion products. Since its inception in 2012, Nykaa has disrupted the beauty retail market in India and captured the hearts of millions of customers. Besides offering engaging and educational content, we have diversified our offerings through other online platforms like Nykaa Fashion, Nykaa Man, and Superstore.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role:
  </strong>
 </p>
 <p>
  This is a full-time on-site role for a Machine Learning Engineer/Scientist in Bengaluru. As a Machine Learning Engineer/Scientist, you will design and deploy machine learning models to solve complex business problems. You will be responsible for developing and implementing statistical and machine learning algorithms, managing large datasets, and working collaboratively with cross-functional teams. You will be working on the interesting problem areas such as Personalization, Customer Growth, Demand Forecasting &amp; Inventory Management and other DS problems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills
  </strong>
 </p>
 <ul>
  <li>
   Minimum 3 years experience
  </li>
  <li>
   Strong background in statistics, machine learning and deep learning
  </li>
  <li>
   Expertise in pattern recognition, neural networks, and ML algorithms
  </li>
  <li>
   Proficiency in statistical tools, Python programming language along with ML libraries (Scikit-Learning, XGBoost and LightGBM etc)
  </li>
  <li>
   Exposure to DL frameworks such as Keras, Tensorflow and Pytorch
  </li>
  <li>
   Have a sound understanding of modeling pipelines, ML architecture and MLOps
  </li>
  <li>
   Excellent problem-solving skills and attention to detail
  </li>
  <li>
   Ability to work collaboratively in a fast-paced environment
  </li>
  <li>
   Experience with Causal Inference and Experimentation would be an advantage
  </li>
  <li>
   Experience in Consumer tech experience would be a plus
  </li>
  <li>
   Experience on
   <strong>
    Search, Ranking, Relevance, Recommendations
   </strong>
   is highly preferred
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

Mobile Programming

<p><b>Job Title: Senior Data Scientist (ML/GenAI)</b></p><p><b>Location:</b> Pune<br/>Notice Period: Immediate joiner<br/><b>Experience:</b> 6+ Years Overall | 4+ Years in ML/GenAI<br/>Required Skills</p><p>&#61623; Independent, curious, and willing to share your perspective and ideas.</p><p>&#61623; Degree in a quantitative field (e.g., computer science, mathematics, physics)</p><p>&#61623; 6+ years of experience in data science</p><p>&#61623; 4+ Years of experience machine learning</p><p>&#61623; Experience building machine learning models end to end from research to</p><p>production.</p><p>&#61623; Experience working with deep learning algorithms, and familiar with GenAI</p><p>models, techniques, and main libraries (e.g., Transformers, Langchain).</p><p>&#61623; Experience in machine learning agile development from &ldquo;low hanging fruits&rdquo; to MVP</p><p>and full product.</p><p>&#61623; 4+ Years of experience with Python programming</p><p>Interested candidates, kindly share your CV at <b>pradnya.bhalerao@programming.com</b></p><p>Job Type: Full-time</p><p>Pay: &#8377;744,459.48 - &#8377;1,474,247.43 per year</p><p>Application Question(s):</p><ul><li>How many days NP? Last working date?</li><li>CTC? ECTC?</li></ul><p>Experience:</p><ul><li>Data science: 5 years (Preferred)</li><li>Python: 3 years (Preferred)</li><li>Machine learning: 4 years (Preferred)</li><li>Deep learning: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

Entytle

<div><div><div><div>Submit Your Resume Here</div>
</div>
<p>jobs-pune@entytle.com</p>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3>
<ul><li>Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions that leverage the latest statistical and machine learning techniques.</li>
<li>Work collaboratively with the rest of the data science team, data engineers, developers, and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques.</li>
<li>Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges.</li>
<li>Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain.</li>
<li>Use best practices in applying and deploying data science at scale..</li>
</ul><h3 class="jobSectionHeader"><b>Competencies:</b></h3>
<ul><li>Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers.</li>
<li>Proficiency in data analysis and programming languages such as SQL, Python, and R.</li>
<li>5+ years of hands-on experience in machine learning, statistics, or experiment design.</li>
<li>Master&rsquo;s Degree required in Statistics, Mathematics, Econometrics, Operations Research,</li>
<li>Computer Science, Physics, or a related field with a focus on data analysis.</li>
<li>Expertise in machine learning, statistics, and data analysis. Must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of problems.</li>
<li>Solid grasp of probability, statistical or mathematical modeling, with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus.</li>
<li>Demonstrated experience in applying machine learning to real-world problems.</li>
<li>Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS.</li>
<li>Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus</li>
</ul><h3 class="jobSectionHeader"><b>Must Have Skills</b></h3>
<ul><li>Machine Learning, Master&rsquo;s degree required in statistics, Mathematics, econometrics</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3>
<ul><li>Cloud computing platform</li>
</ul> <h3 class="jobSectionHeader"><b>About Entytle:</b></h3>
<p>Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India.</p>
<div><div>Submit Your Resume Here</div>
</div>
</div><p></p><div><div><div><div><b>Job Category: </b>Data Scientist
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Pune,India</div></div></div></div></div>

Data Scientist

Tiger Analytics

<div>
 <p>
  <strong>
   Job Title : Data Scientist /Senior Data Scientist-BFS
  </strong>
 </p>
 <p>
  <strong>
   Location
  </strong>
  <strong>
   :
  </strong>
  Chennai, Bangalore, Hyderabad
 </p>
 <p>
  Skills : Data Science, Model Building, Python, Regression, Classification
 </p>
 <p>
  Domain : BFS
 </p>
 <p>
  NP :Immediate to 15 Days
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are
  </strong>
 </p>
 <p>
  Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 </p>
 <p>
  Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 </p>
 <p>
  We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo; analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Curious about the role? What your typical day would look like?
  </strong>
 </p>
 <p>
  As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:
 </p>
 <ul>
  <li>
   <strong>
    Analytical Translation:
   </strong>
   Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
  </li>
  <li>
   <strong>
    Problem Solving:
   </strong>
   While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
  </li>
  <li>
   <strong>
    Client Engagement:
   </strong>
   Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
  </li>
  <li>
   <strong>
    Algorithmic Expertise:
   </strong>
   Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
  </li>
  <li>
   <strong>
    Quantitative Mastery:
   </strong>
   Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
  </li>
  <li>
   <strong>
    Cross-Functional Collaboration:
   </strong>
   Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
  </li>
 </ul>
 <p>
  <strong>
   What do we expect?
  </strong>
 </p>
 <ul>
  <li>
   4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
  </li>
  <li>
   <strong>
    Mandatory
   </strong>
   : Minimum 2+ years of experience in the Banking and Financial services industry
  </li>
  <li>
   Good communication skills, both verbal and written.
  </li>
  <li>
   Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
  </li>
  <li>
   Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.
  </li>
  <li>
   Experience in production engineering best practices (e.g. Git versioning, Docker).
  </li>
  <li>
   Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
  </li>
  <li>
   Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
  </li>
  <li>
   Excitement to collaborate with diverse stakeholders across the organisation.
  </li>
  <li>
   In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
  </li>
  <li>
   Hunger to learn new technologies and embrace the change.
  </li>
  <li>
   Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
  </li>
  <li>
   Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
  </li>
 </ul>
 <p>
  <strong>
   You are important to us, let&rsquo;s stay connected!
  </strong>
 </p>
 <p>
  Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Note:
  </strong>
  The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 </p>
 <p>
  Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities
 </p>
 <p>
 </p>
</div>


Data Scientist / Senior Data Scientist- BFS

Amazon.com

<p></p><div><div><p>DESCRIPTION</p><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art algorithms and models for pretraining and supervised fine-tuning, with a focus across image and video modalities.<br>
<br>
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li><li>Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team</li></ul></div></div><div><p>
BASIC QUALIFICATIONS</p><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>4+ years of building machine learning models for business application experience</li><li>Experience with neural deep learning methods and machine learning</li><li>Experience programming in Java, C++, Python or related language</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>PhD in Computer Science, Machine Learning, or a related field; with a focus on GenAI in Computer Vision</li><li>Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains</li><li>Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Bellevue</div></p></div><div><p><div>
Machine Learning Science</div></p></div></ul></div>

Senior Applied Scientist, Artificial General Intelligence

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