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data scientist

Nasdaq

<div>
 
 Data Scientist
 
 
 
 At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.
 
 
 You don't need to know everything on day one &mdash; we'll help you build the skills, confidence, and network to grow your career.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design, research &amp; architect AI/ML solutions across the enterprise.
 </li>
 <li>
 Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
 </li>
 <li>
 Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
 </li>
 <li>
 Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.
 
 
 </li>
 </ul>
 
 What we expect:
 
 
 
 <ul>
 <li>
 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
 </li>
 <li>
 Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
 </li>
 <li>
 Understanding of the fundamentals of Statistics &amp; Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
 </li>
 <li>
 Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
 </li>
 <li>
 Fluency in Python and SQL or other similar relational database management systems.
 </li>
 <li>
 Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Work experience in a corporate environment or finance/fintech industry
 </li>
 <li>
 Demonstrated interest in finance and/or market microstructure
 </li>
 <li>
 Industry experience with Deep Learning models and methods (Deep Learning Life cycle &ndash; from Problem Definition to Model Evaluation and Monitoring)
 
 
 </li>
 </ul>
 This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
 
 
 
 Come as You Are
 
 
 
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
 
 
 
 What We Offer
 
 
 
 We&rsquo;re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq&rsquo;s overall success.
 
 
 The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
 
 
 Nasdaq&rsquo;s programs and rewards are intended to allow our employees to:
 
 
 <ul>
 <li>
 Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
 </li>
 <li>
 Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
 </li>
 <li>
 Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
 </li>
 <li>
 Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
 </li>
 <li>
 Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
 
 
 </li>
 </ul>
 
 For more information, visit
 
 Nasdaq Benefits &amp; Rewards Career page
 
 .
 
</div>

Data Scientist - Graduate

Magnite

<div>Data Scientist
Boston, MA
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we&rsquo;re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world&rsquo;s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
We are looking for a highly talented and motivated Data Scientist. The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing optimization, latency analysis, and a range of other strategic projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling data science challenges.
In this role you will:
<ul><li>Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling</li><li>
Collaborate with Engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production</li><li>
Leverage big data technologies such as Hadoop and Spark to process large-scale datasets</li><li>
Stay aligned with both client-driven and internal projects</li><li>
Participate in and contribute to design and code reviews for data science projects</li><li>
Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful</li></ul>
We&rsquo;re looking for someone with:<ul><li>
A PhD in a quantitative discipline (e.g., mathematics, statistics, computer science, or engineering)</li><li>
Strong understanding of predictive analytics, statistical modeling, and data mining&mdash;including theory, algorithms, and practical applications</li><li>
Able to make intelligent approximations and design effective, practical, and scalable mathematical models</li><li>
Ability to identify assumptions and limitations in models and algorithms, and assess their impact on reporting and decision-making</li><li>
Proficiency in Python and SQL is required; experience with Scala is a plus</li><li>
Familiarity with large language models is a plus</li></ul>
In MA, the base salary range for this role is $125,000 &ndash; $135,000. 
Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:<ul><li>
Annual performance-based bonus</li><li>
Equity (NASDAQ: MGNI)</li><li>
Comprehensive benefits package</li></ul>
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:<ul><li>
Comprehensive Healthcare Coverage from Day One</li><li>
Generous Time Off
</li><li>Holiday Breaks and Quarterly Wellness Days</li><li>
Equity and Employee Stock Purchase Plan</li><li>
Family-Focused Benefits and Parental Leave</li><li>
401k Retirement Savings Plan with Employer Match</li><li>
Disability and Life Insurance</li><li>
Cell Phone Subsidy</li><li>
Monthly Fitness Reimbursement</li></ul>
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite&rsquo;s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite&rsquo;s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.</div>

Data Scientist (PHD Required)

Vertex Pharmaceuticals

<div>Job Description
General Summary:
Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?
Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You&rsquo;ll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
Key duties and responsibilities:
<ul><li>Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods
</li><li>Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions
</li><li>Lead quantitative assessment and insight generation for enterprise document ecosystem
</li><li>Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents
</li><li>Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders
</li><li>Participate in the broader data science community to stay current with methodology, software, and data development and availability
</li><li>Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work
</li></ul>Minimum qualifications:
<ul><li>Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics
</li><li>5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC)
</li><li>Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt)
</li><li>Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models)
</li><li>Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures
</li><li>Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
</li><li>Exceptional communication skills and ability to present findings to non-technical audiences
</li><li>Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings
</li><li>Demonstrated history of adherence to highest standards of data ethics
</li></ul>Preferred Qualifications:
<ul><li>4+ years of industry GenAI data science experience
</li><li>Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions
</li><li>Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings
</li><li>Familiarity with data product UX/UI design and testing
</li><li>Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data
</li><li>Knowledge of the biopharma or healthcare industry
</li></ul>#LI-HYBRID
Pay Range:
$152,000 - $228,000
Disclosure Statement:
<div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div>Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
 
1. Hybrid : work remotely up to two days per week; or select
 
2. On-Site : work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex&rsquo;s Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid 
 
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Principal Data Scientist, Digital & AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
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. 
 
Key job responsibilities 
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. 
 
A day in the life 
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.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Manulife

<div>
 What distinguishes this opportunity? At John Hancock Manulife, we are devoted to nurturing an environment where your skills and ambitions can prosper. As a Data Engineer, you will have a key role in constructing and managing our data systems and architecture. This versatile role, situated in Boston, MA, delivers an optimum mix of hybrid flexibility and collaborative in-person interactions, empowering you to succeed personally and professionally.
 
 
 This role is located in Boston and has a Hybrid Model of 3 days in the office.
 
 
 As a Data Engineer at John Hancock Manulife, you would play a meaningful role in development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
 
 
 Position Responsibilities
 
 
 <ul>
 <li>
 Build, develop, and maintain scalable ETL/ELT pipelines.
 </li>
 <li>
 Develop and uphold the company's data architecture, including data models, schemas, and data dictionaries.
 </li>
 <li>
 Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses.
 </li>
 <li>
 Adhere to data governance policies and processes to safeguard data security, privacy, and compliance.
 </li>
 <li>
 Collaborate with data professionals, including data scientists, analysts, and business team members, to comprehend data requirements and devise solutions to meet those needs.
 </li>
 <li>
 Stay informed about the latest tools and technologies, finding opportunities to improve Manulife's data infrastructure.
 </li>
 <li>
 Illustrate the aptitude to learn and apply established methods in data engineering and cloud computing to ensure scalable, efficient, and effective solutions.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2+ years of background as a Data Engineer.
 </li>
 <li>
 Demonstrable experience in building and operationalizing data pipelines.
 </li>
 <li>
 Hands-on experience with programming languages like Python and SQL.
 </li>
 <li>
 Solid grasp of data warehousing concepts and relational data modeling.
 </li>
 <li>
 Strong working knowledge of SQL queries, Databricks, Synapse, and SQL Server.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiar with DevOps and CI/CD pipelines in the automation of ETL workloads.
 </li>
 <li>
 Familiar with cloud platforms such as Azure and AWS, along with related technologies.
 </li>
 <li>
 Superb communication and interpersonal skills.
 </li>
 <li>
 Strong analytical, problem-solving, and abilities.
 </li>
 <li>
 Proficiency in data processing, performance analysis, tuning, and resource optimization.
 </li>
 <li>
 Understanding of Agile Scrum methodologies and experience working in an Agile team, including familiarity with collaboration tools such as Teams and JIRA.
 </li>
 <li>
 A dedication to continuous learning from both successes and failures, with an openness to change and improvement.
 </li>
 <li>
 Familiar with production release and operational support models.
 
 
 </li>
 </ul>
 
 When You Join Our Team
 
 
 
 <ul>
 <li>
 We&rsquo;ll empower you to learn and grow the career you want.
 </li>
 <li>
 We&rsquo;ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
 </li>
 <li>
 As part of our global team, we&rsquo;ll support you in shaping the future you want to see.
 
 
 </li>
 </ul>
 
 If you are applying to this role in Massachusetts, please note the salary range is $ 87,990.00 - $163,410.00 USD. Additionally, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
 
 
 
 The role being advertised is an existing vacancy.
 
 
 
 About Manulife And John Hancock
 
 
 
 Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
 
 
 
 Manulife is an Equal Opportunity Employer
 
 
 
 At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
 
 
 It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
 
 
 
 Referenced Salary Location
 
 
 
 Boston, Massachusetts
 
 
 
 Working Arrangement
 
 
 
 Hybrid
 
 
 
 Salary range is expected to be between
 
 
 
 $90,160.00 USD - $167,440.00 USD
 
 
 Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
 
 
 Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&amp;D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
 
 
 We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
 
 
 Know Your Rights
 
 I
 
 
 Family &amp; Medical Leave
 
 
 I
 
 
 Employee Polygraph Protection
 
 
 I
 
 
 Right to Work
 
 
 I
 
 
 E-Verify
 
 
 
 Company: John Hancock Life Insurance Company (U.S.A.)
</div>

Data Engineer

WilmerHale

<div>
 
 Job Description
 
 
 
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
 
 
 
 About The Role
 
 
 
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
 </li>
 <li>
 Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
 </li>
 <li>
 Optimizes existing generative AI models for improved performance, scalability, and efficiency.
 </li>
 <li>
 Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Contributes to the establishment of best practices and standards for AI development within the organization.
 </li>
 <li>
 Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
 </li>
 <li>
 Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
 </li>
 <li>
 Provides technical mentorship and guidance to other team members.
 </li>
 <li>
 Creates and delivers end-user training and documentation and provides second-line support to other users.
 </li>
 <li>
 Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
 </li>
 <li>
 Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
 </li>
 <li>
 Participates in special projects and performs other duties as assigned.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 What You Will Bring to This Position
 
 
 
 <ul>
 <li>
 Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Experience building recommendation models.
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Familiar with cloud-based platforms and services, such as Azure or AWS.
 </li>
 <li>
 Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
 </li>
 <li>
 Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
 </li>
 <li>
 Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
 </li>
 <li>
 Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
 </li>
 <li>
 Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
 </li>
 <li>
 Willingness and ability to learn and use new technologies as the need arises.
 </li>
 <li>
 Ability to work effectively with both users and technical staff in team-oriented environments.
 </li>
 <li>
 Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
 </li>
 <li>
 Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
 </li>
 <li>
 A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
 </li>
 <li>
 Hands-on experience with LLMs fine-tuning is a plus.
 </li>
 <li>
 Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
 </li>
 <li>
 The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
 </li>
 <li>
 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
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 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
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 Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
 
 
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 Education
 
 
 
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 Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
 
 
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 Our Commitment
 
 
 
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 
 
 For more information about Equal Employment Opportunity, please click here.
 
 
 Hire in salary range is $135,000 - $169,000
 
 
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 For additional information about our benefits, please click here
 
 
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 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
 
 
</div>

Artificial Intelligence (AI) Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a tech-savvy storyteller who can translate complex AI solutions into compelling customer value? At AWS, we're seeking a AI Product Marketing Manager who can shape the future of how AI model development and inference impact customer outcomes. 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across AI including Amazon SageMaker, and Amazon Bedrock. 
 
We're looking for a unique blend of data scientist, machine learning engineer, technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you. 
 
Key job responsibilities 
<ul><li>Partner with product management and sales teams to develop product strategies in AI with a direct focus on model development, inference, and ML Ops</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference</li><li>Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</li></ul> 
About the team 
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. 
About AWS 
Diverse Experiences 
AWS 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>4+ years experience working directly with customers on adoption of cloud-based products and services</li><li>4+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI) Bachelor's degree in Computer Science or similar field or equivalent experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>4+ years of cloud architecture and solution implementation experience</li><li>Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience</li><li>4+architectures in one or more technical domains (ML, Generative AI, Agentic AI)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
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. 
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually 
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually 
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually 
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div>

Product Marketing Manager - Tech, AWS AI Marketing

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