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applied scientist, artificial general intelligence, agi data services Jobs in Boston

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artificial intelligence (ai) engineer

data scientist - data-driven global investment firm Jobs in Boston

machine learning scientist

Wayfair

<div><div><div>Salary Range: $176,000 - $184,250 per year. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the annual base salary only and do not include equity.<br>
<br>
<b>Who We Are:</b></div><div></div><div><br>
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this, Wayfair builds and leverages cutting-edge Machine Learning and AI products. Within the broader Science Org, the Supply Chain and Retail Technology (SCRT) Science team drives growth by tackling fundamental challenges pertaining to supply chain and post-order customer experience; for example, building end-to-end systems to predict delivery dates at different points in the shopping funnel, optimizing for customer trust and key operational KPIs, while accounting for dynamic changes in the delivery network.<br>
</div><div></div><br>
<div>Some of the other key projects our team works on include:</div>
<ul>
<li><div>Graph Neural Network based Policy Abuse detection: GNN model that is robust to sophisticated identity manipulation (Blog)</div></li>
<li><div>
Personalization: Uplift model for predicting the effectiveness of different customer service policy</div></li>
</ul>
<ul><li><div>Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund</div></li></ul><div></div><div><br>
We are looking for a strong Machine Learning Scientist with deep technical expertise and a proactive, action-oriented mindset. In this role, you will be instrumental in developing and refining the advanced models and systems that power our core mission. You will work in close collaboration with a highly capable, cross-functional team to tackle complex, high-impact challenges and help pioneer innovative solutions.</div><div></div><div><b><br>
What You&rsquo;ll Do:</b></div><br>
<div></div><ul>
<li><div>
Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value</div></li>
<li><div>
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.</div></li>
<li><div>
Work cross-functionally with product managers and commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI</div></li>
<li><div>
Collaborate closely with cross-functional engineering partners</div></li>
<li><div>
Develop key success metrics and build evaluation frameworks to regularly assess model output quality</div></li></ul><br>
<div></div>
<div><b>
We Are a Match Because You Have:</b></div><br>
<div></div><ul>
<li><div>
PhD with 0-1+ years of experience or Master&rsquo;s in a STEM field (Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative field) with 2+ years of full-time industry experience in applied research</div></li>
<li><div>
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.</div></li>
<li><div>
Professional coding expertise in Python, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and version control best practices.</div></li>
<li><div>
Strong written and verbal communication skills with an ability to articulate complex technical concepts to technical and non-technical audiences while collaborating within and across teams.</div></li></ul><br>
<div></div>
<div><b>
Nice to Have:</b></div><br>
<div></div><ul>
<li><div>
Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow)</div></li>
<li><div>
Experience with containerization tools (Docker)</div></li>
<li><div>
Familiarity with causal inference, multi-armed bandits, personalisation</div></li>
<li><div>
Hands-on experience with LLMs</div></li></ul><br>
<div></div>
<div><b>
Why You will Love Working With Us</b></div>
<div></div>
<ul><li><div>Fun team outings like kayaking the Charles and Boda Borg,</div></li>
<li><div>
Early adopters of new technology within Wayfair</div></li>
<li><div>
Hackathons to explore new ideas</div></li>
<li><div>
Time Off:</div></li>
<li><ul>
<li><div>Paid Holidays</div></li>
<li><div>
Paid Time Off (PTO)</div></li>
</ul></li>
<li><div>Health &amp; Wellness:</div></li>
<li><ul>
<li><div>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</div></li>
<li><div>
Life Insurance</div></li>
<li><div>
Disability Protection (Short Term &amp; Long Term Disability)</div></li>
<li><div>
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</div></li>
<li><div>
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</div></li>
<li><div>
Caregiver Services</div></li>
</ul></li>
<li><div>Financial Growth &amp; Security:</div></li>
<li><ul>
<li><div>401K Matching (Employee Matching Program)</div></li>
<li><div>
Tuition Reimbursement</div></li>
<li><div>
Financial Health Education (Knowledge of Financial Education - KOFE)</div></li>
<li><div>
Tax Advantaged Accounts</div></li>
</ul></li>
<li><div>Family Support:</div></li>
<li><ul>
<li><div>Family Planning Support</div></li>
<li><div>
Parental Leave</div></li>
<li><div>
Global Surrogacy &amp; Adoption Policy</div></li>
</ul></li>
<li><div>Professional Development &amp; Recognition:</div></li>
<li><ul>
<li><div>Rewards &amp; Recognition</div></li>
<li><div>
Global Employee Anniversary Awards</div></li>
<li><div>
Paid Volunteer Work</div></li>
</ul></li>
<li><div>Unique Perks:</div></li>
<li><ul>
<li><div>Employee Discount</div></li>
<li><div>
U.S. Bluebikes Membership</div></li>
<li><div>
Global Pod Outings</div></li></ul></li></ul><br>
<div><br>
</div><div>This is a hybrid position based in Boston, MA. Our teams are in-office Tuesday-Thursday and remote on Monday and Friday.</div>
</div><div>
<p><b>Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist II - Supply Chain AI

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have 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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Analog Devices

<div><p><b>About Analog Devices
</b></p><p>Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible&trade;. Learn more at www.analog.com and on LinkedIn and Twitter (X) .</p><br>
<p></p><p><b>Employer: </b>Analog Devices, Inc.</p>
<p><b>Job Title: </b>Senior Research Scientist, Machine Learning</p>
<p><b>Job Requisition: </b>1010.292.5 / R262485
</p><p><b>Job Location: </b>Boston, Massachusetts</p>
<p><b>Job Type: </b>Full Time</p>
<p><b>Rate of Pay:</b> $170,445 - $216,000 per year</p>
<p><b>Duties: </b>Design, implement, and optimize novel Machine Learning (&ldquo;ML&rdquo;) algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments. Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.</p>
<p></p><p>Partial telecommute benefit (up to 2 days/week work from home).</p>
<p></p><p><b>Requirements: </b>Must have a Master&rsquo;s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.</p>
<p></p><p>Must also possess the following (quantitative experience requirements not applicable to this section):</p>
<ul><li>Demonstrated Expertise (&quot;DE&quot;) in machine learning (&quot;ML&quot;) algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax;</li>
<li>DE developing and applying neural networks, deep learning, transformers, and Large Language ML models; and</li>
<li>DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.</li>
</ul><p></p><p><b>Contact: </b>Eligible for employee referral program. Apply online at https://www.analog.com/en/about-adi/careers.html and Reference Position Number: R262485 .</p>
<p></p><p><i>For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position &ndash; except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) &ndash; may have to go through an export licensing review process.
</i></p><p></p><p><i>Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
</i></p><p></p><p><i>EEO is the Law: </i><i>Notice of Applicant Rights Under the Law </i><i>.
</i></p>Job Req Type: Experienced<br>
<p></p>Required Travel: No<br>
<p></p>Shift Type: 1st Shift/Days
<p></p><ul><li><p>Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.</p>
</li><li><p>This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.</p>
</li><li><p>This position includes medical, vision and dental coverage, 401k, paid vacation, <b>holidays, and sick time </b>, and other benefits.</p></li></ul></div><p></p>

Senior Research Scientist, Machine Learning

Andiamo

<div>
 Data Scientist
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Independently research and develop hypotheses based on diverse real-world datasets.
  </li>
  <li>
   Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
  </li>
  <li>
   Partner with engineers and stakeholders to rigorously explore and test your theories.
  </li>
  <li>
   Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
  </li>
  <li>
   Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
  </li>
  <li>
   Proficiency in Python and SQL.
  </li>
  <li>
   Experience conducting in-depth research projects involving real-world data.
  </li>
  <li>
   Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
  </li>
  <li>
   Background in finance is not required&mdash;strong research skills are most important.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
  </li>
  <li>
   Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
  </li>
  <li>
   Learning: Tuition reimbursement, conference and training sponsorship.
  </li>
  <li>
   Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
  </li>
  <li>
   Hybrid Work Policy: Flexible in-office days with budget for home office setup.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The base pay for this role will be between
 <strong>
  $165,000 and $300,000
 </strong>
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - Data-Driven Global Investment Firm

Chewy

<div><p>Job Description:</p><p></p><p><b>
Data Scientist III</b></p><p><b>
Boston, MA &ndash; </b>Customer Service <b>&ndash; Full time &ndash; </b><b>R29580</b></p><p></p><p><b>
Job Description:</b></p><p></p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Develop machine learning infrastructure and data pipelines that improve data quality.
</li><li>Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies.
</li><li>Identify opportunities for data science to improve current products and practices for business engineering teams.
</li><li>Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
</li><li>Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.
</li><li>Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
</li><li>Establish collaborative working relationships at all levels across various functional teams.</li></ul><p></p><p><b>
What you&rsquo;ll need:</b></p><ul><li>
Minimum Requirements: Master&rsquo;s degree in Data Science, Analytics, Engineering, or related field of study and 4 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Alternate Education and Experience: PhD in Data Science, Analytics, Engineering, or related field of study and 2 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Full term of experience must include:<ul><li>
Manage the entire data science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering;</li><li>
Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms;</li><li>
R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker;</li><li>
Object-oriented programming with Python; and</li><li>
Data visualization tools and packages (Tableau or similar).</li></ul></li></ul><p></p><p><b>
Employer:</b> Chewy, Inc.</p><p><b>
Office Address:</b> 343 Congress Street, Floor 5, Boston, MA 02210</p><p><b>
Req:</b> R29580</p><p></p><p><b>
The </b><b>base salary range for this role is</b> $161,803 to $229,000 per year</p><p></p><ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul><p><br>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p><br>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><ul><li><p><br>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Data Scientist III

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br>
<br>
Key job responsibilities<br>
The successful candidate will:<br>
<br>
<ul><li>Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.</li><li>Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.</li><li>Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.</li><li>Develop strategic plans to identify fundamentally new solutions for business problems.</li><li>Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.</li></ul><br>
A day in the life<br>
This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br>
<br>
About the team<br>
Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.<br>
<br>
Why Amazon Automated Reasoning?<br>
<br>
At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br>
<br>
Inclusive Team Culture<br>
<br>
In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br>
<br>
Training &amp; Career Growth<br>
<br>
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Ph.D. in computer science, computer engineering, or related field</li><li>4+ years of applied research experience</li><li>Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually<br>
USA, MA, Boston - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AWS Automated Reasoning

Spotify

<div><div><div><div><div><div>Support &amp; Operations</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York or Boston</div></div><div><div><p>
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.</p>
<p>
Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust &amp; Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&amp;D teams to confidently expand into new products, markets, and technologies.</p>
<p>
PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.</p>
<p>
We aim to keep safety upstream of moderation by shaping product design before launch and measuring how features perform once they reach users.</p></div></div></div><div><div><p>
What You'll Do</p><ul><div>
<ul>
<li>Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations</li>
<li>Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences</li>
<li>Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time</li>
<li>Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences</li>
<li>Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, &ldquo;no regrets&rdquo; design</li>
<li>Build and improve evaluation methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers</li>
<li>You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership.</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain</li>
<li>You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence</li>
<li>You have hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design</li>
<li>You are comfortable scoping ambiguous problems, including early-stage or zero-to-one research areas, and prioritizing them in a fast-moving environment</li>
<li>You communicate clearly with both technical and non-technical audiences, including explaining methodological choices to policy partners and leadership</li>
<li>You care about turning research into practice and are comfortable making concrete, evidence-based recommendations</li>
<li>You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be</p><ul><div>
<ul>
<li>This role is based in New York or Boston</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
<li>This team operates within the Eastern Standard time zone for collaboration</li>
</ul>
</div></ul></div></div><div><div><p>Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $117,000 &ndash; $167,000 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist II, Trust & Safety

Explore 90+ Machine learning scientist in Boston this May. Find roles across top companies and apply now to boost your career.