machine learning engineer

WilmerHale

<div>
 <strong>
  Job Description
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  <br/>
 </strong>
 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.
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 <strong>
  About The Role
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 </strong>
 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.
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 <strong>
  What You Will Be Doing
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 </strong>
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   Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
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   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.
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   Optimizes existing generative AI models for improved performance, scalability, and efficiency.
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   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.
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   Contributes to the establishment of best practices and standards for AI development within the organization.
  </li>
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   Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
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   Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
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   Provides technical mentorship and guidance to other team members.
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   Creates and delivers end-user training and documentation and provides second-line support to other users.
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   Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
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   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.
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   Participates in special projects and performs other duties as assigned.
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  </li>
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 <strong>
  Required Skills
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  <br/>
 </strong>
 <strong>
  What You Will Bring to This Position
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 </strong>
 <ul>
  <li>
   Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
  </li>
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   Experience building recommendation models.
  </li>
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   Strong knowledge of data structures, algorithms, and software engineering principles.
  </li>
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   Familiar with cloud-based platforms and services, such as Azure or AWS.
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   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.
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   Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
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   Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
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   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.
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   Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
  </li>
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   Willingness and ability to learn and use new technologies as the need arises.
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  <li>
   Ability to work effectively with both users and technical staff in team-oriented environments.
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   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.
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  </li>
 </ul>
 <strong>
  Required Experience
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 </strong>
 <ul>
  <li>
   1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
  </li>
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   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
  </li>
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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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  </li>
 </ul>
 <strong>
  Our Commitment
  <br/>
  <br/>
 </strong>
 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.
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 For more information about Equal Employment Opportunity, please click here.
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 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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  </li>
 </ul>
 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.
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Artificial Intelligence (AI) Engineer

Lutron Electronics

<div>Overview:
<div>
At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data scientists, engineers, product managers, and business partners to turn data into actionable insights and deploy models into production.</div>
Responsibilities:
<ul><li>Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.</li><li>
Translate business questions into analytical approaches with clear metrics and success criteria,</li><li>
Develop, test, and validate machine learning models and statistical analyses under guidance from senior team members</li><li>
Partner with engineering and product teams to support deployment of models and analytics into production systems</li><li>
Apply best practices in data cleaning, feature engineering, model evaluation, and documentation</li><li>
Communicate findings, insights, and technical concepts clearly and effectively to technical and non-technical stakeholders</li><li>
Continuously learn and apply new data science and machine learning techniques relevant to Lutron&rsquo;s products and business</li></ul>
Qualifications:
<ul><li>Graduate degree in Data Science, Computer Science, Statistics, or a related field</li><li>
Minimum, cumulative GPA of 3.00 for all degrees earned</li><li>
4+ years of hands-on experience in data science, analytics, or machine learning</li><li>
Proficiency in Python or R, with working knowledge of SQL</li><li>
Familiarity with common machine learning techniques such as regression, classification, clustering, and time series analysis</li><li>
Experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar</li></ul><p><b>
Desired Qualifications</b></p><ul><li>
Experience deploying models into production environments</li><li>
Exposure to cloud services from AWS, Azure, or similar providers</li><li>
Experience working with IoT or sensor data</li><li>
Familiarity with Agile development practices</li></ul><div></div><div><br>
Starting pay: $120,000 - $135,000 per year; Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation (amount based on tenure with the company), flexible spending accounts, and tuition reimbursement programs. &quot;</div><p></p><div><br>
Lutron Electronics&rsquo; position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.</div><div></div><div><i><br>
Lutron Electronics is an Equal Opportunity &ndash; Affirmative Action &ndash; Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics</i></div></div>

Data Scientist

<div>Overview:
<div>
At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. We are looking for extraordinary and world-class people that are outstanding in both strategic and practical areas. As a Principal Data Scientist, you will deliver impact through data science, ML, and AI by working with the functional teams to develop and execute the technical vision for data science and AI across the company, and you will help to build the organization. You will lead the most complex and high-impact initiatives, influence company-wide strategy, and establish standards and foundational capabilities that enable Lutron&rsquo;s next generation of intelligent products and services.</div>
Responsibilities:
<ul><li>Execute multi-year, company-wide data science and AI initiatives with significant business and product impact. Move the company forward and show progress.</li><li>
Apply your problem-solving skills to address highly complex, ambiguous problems that span multiple domains and organizations</li><li>
Architect and deploy scalable machine learning and AI systems that serve as foundational platforms for multiple teams</li><li>
Partner with senior engineering, product, and business leaders to shape and execute Lutron&rsquo;s Data &amp; AI strategy</li><li>
Identify, evaluate, and incubate emerging technologies such as generative AI, reinforcement learning, and edge AI</li><li>
Establish best practices and standards for MLOps, responsible AI, model governance, and technical excellence</li><li>
Mentor and develop senior and staff-level data scientists and technical leaders</li><li>
Represent Lutron as a technical authority in data science and AI, both internally and externally</li><li>
Drive creation of reusable frameworks, platforms, and intellectual property</li></ul>
Qualifications:
<ul><li>PhD degree in a STEM field, or MS degree and equivalent, recognized expertise in Data Science, Computer Science, Statistics, or a related field.</li><li>
12+ years of experience in data science, machine learning, and AI with sustained, enterprise-level impact</li><li>
Proven leadership track record leading teams and projects, coordinating across functions, and driving execution from concept through delivery.</li><li>
Deep expertise in advanced machine learning, AI systems, and large-scale production deployments</li><li>
Proven ability to influence strategy and technical direction across multiple organizations</li><li>
Exceptional communication skills, including executive-level technical storytelling</li><li>
Proficiency in Python, R, or Scala, and deep experience with modern ML frameworks and cloud platforms</li><li>
Expert in large-scale cloud deployment of ML/AI models</li><li>
Expert in MLOps</li></ul><div></div><p><b><br>
Desired Qualifications</b></p><ul><li>
Recognized thought leadership in applied data science or AI</li><li>
Background in IoT, embedded systems, or intelligent devices</li><li>
Experience contributing to patents, publications, or industry standards</li></ul><p></p><p><br>
Starting pay: $175,000 - $190,000 per year; Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation (amount based on tenure with the company), flexible spending accounts, and tuition reimbursement programs.</p><p></p><div><br>
Lutron Electronics&rsquo; position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.</div><div></div><div><i><br>
Lutron Electronics is an Equal Opportunity &ndash; Affirmative Action &ndash; Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics</i></div></div>

Principal Data Scientist

SS&C Technologies

<div>
 As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.
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 <strong>
  Job Description
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  <br/>
 </strong>
 <strong>
  Job Title
 </strong>
 Data Analyst
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 <strong>
  Locations
 </strong>
 : Jacksonville, FL, New York, NY, Chicago, IL, Boston, MA | Hybrid
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 <br/>
 <strong>
  About The Role
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  <br/>
 </strong>
 SS&amp;C Advent delivers financial technology solutions and services to financial services clients in the asset management, wealth management, and alternative investment space around the globe.
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 This role owns end‑to‑end data science projects, applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The individual translates data into actionable insights, contributes to the analytics roadmap, and helps build scalable data science infrastructure while collaborating closely with stakeholders
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 <strong>
  Why Join SS&amp;C
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  <br/>
 </strong>
 SS&amp;C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.
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 You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.
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  How You Will Make An Impact
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 </strong>
 <ul>
  <li>
   Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)
  </li>
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   Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models
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   Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems
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   Translate analytic insights into actionable recommendations
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   Contribute to the scientific roadmap
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   Research, learn, and adapt new modeling techniques and procedures to solve complex business problems
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   Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project
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   Produce and maintain technical documents
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  </li>
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 <strong>
  Required Experience
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 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years
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   Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)
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   Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models
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   2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)
  </li>
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   Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)
  </li>
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   Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories
  </li>
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   Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.
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   Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent
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  </li>
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 <strong>
  What Sets You Apart (preferred Qualifications)
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 </strong>
 <ul>
  <li>
   Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.)
  </li>
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   Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar
  </li>
  <li>
   Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve)
  </li>
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   Previous experience integrating multiple applications and data APIs
  </li>
  <li>
   Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations)
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   Familiarity with front-end technologies such as HTML5 and JavaScript
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   Leadership skills and ability to work well with others
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  </li>
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 Join SS&amp;C, where innovation meets global opportunities. Click here to apply.
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 <em>
  #CA-MG
  <br/>
  <br/>
 </em>
 Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
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 SS&amp;C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
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 Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.
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 New York: The expected base salary for the position is between 90,000 USD to 110,000 USD. Other States expected base salary for the position is between 90,000 USD to 110,000 USD. Illinois: The expected base salary for the position is between 90,000 USD to 110,000 USD. Massachusetts: The expected base salary for the position is between 90,000 USD to 110,000 USD.
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 In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company&rsquo;s discretion.
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 Applications will be accepted on an ongoing basis until the position is filled.
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 SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
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Data Analyst

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Senior AI Platform Engineer</b></h2>
<p>
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.</p>
<p>
As a <b>Senior AI Platform Engineer</b>, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.</p>
<p><i>
This role is hybrid and based in Boston.</i></p>
<p><b>
How you'll make a difference:</b></p>
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
<p><b>Who You Are:</b></p>
<p><i>
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!</i></p>
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul><br>
<p></p>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p>
<p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you&rsquo;ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply state-of-the-art advances in robotics and software to solve real-world challenges that will transform our customers&rsquo; experiences in ways we can&rsquo;t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.<br>
<br>
Key job responsibilities<br>
<ul><li>Developing predictive models and simulations to analyze complex, large-scale datasets and uncover insights to improve customer experience, cost efficiency, capital investment effectiveness, and automation utilization.</li><li>Creating compelling data visualizations that communicate end-to-end system performance and identify optimization opportunities.</li><li>Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.</li><li>Collaborating cross-functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data-driven projects, and deliver impactful results.</li></ul><br>
A day in the life<br>
You will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of highly innovative robotic technology. You will collaborate with Business Intelligence Engineers, Data Engineers, and Program Managers to define and deliver world class models and insights to shape the robotic technology landscape.<br>
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Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
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1. Medical, Dental, and Vision Coverage
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2. Maternity and Parental Leave Options
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3. Paid Time Off (PTO)
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4. 401(k) Plan
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If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&rsquo;re passionate about this role and want to make an impact on a global scale, please apply!<br>
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About the team<br>
The Amazon Robotics Sortation Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon&rsquo;s network of warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.</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>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><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, MA, North Reading - 136,000.00 - 184,000.00 USD annually<br>
USA, MA, Westboro - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Robotics (AR) Sortation

FocusKPI Inc.

<div><p>We are seeking an <b>Agentic AI Engineer</b> to support the development of a customized AI agent solution for one of our clients.<br>
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We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements &mdash; understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work &mdash; building agents that go live, with real clients, on real timelines.<br>
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<b>Environment:</b><br>
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We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding.<br>
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If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk.<br>
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<b>Work Location:</b><b> </b>Remote position (40 hours per week)<br>
<b>Duration:</b> Full-time role<br>
<b>Pay-rate:</b> $30+/hr<br>
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<b>**No C2C resumes are considered**</b><br>
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<b>Responsibilities:</b></p><ul><li>
Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage</li><li>
Design and build custom AI agent solutions tailored to each client's stack, data, and constraints</li><li>
Own full delivery &mdash; from architecture and prompt design to tool integration, testing, and handoff</li><li>
Build evals and monitoring so clients can trust what's running in production</li><li>
Move across engagements &mdash; you'll context-switch between clients and industries</li></ul><p><b>
Qualifications:</b></p><ul><li>
A minimum of <b>2 years</b> of experience is required</li><li><b>
Education requirements:</b> Master's degree</li><li><b>
Mandatory skills:</b> Agentic AI, Claude, LLM</li><li>
Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK</li><li>
Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines</li><li>
Translating a client's messy real-world process into a structured agent design</li><li>
Communicating clearly with non-technical stakeholders &mdash; you can explain what you're building and why</li><li>
Delivering under real project constraints &mdash; timelines, client expectations, shifting requirements</li></ul><p><b>
Nice to have:</b></p><ul><li>
Experience building agents for GTM use cases &mdash; sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations</li><li>
Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools</li></ul><p></p><p>
Thank you!</p><p>
FocusKPI Hiring Team</p><p>
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.</p><p>
</p><p><b>NOTICE: </b>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .<br>
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p><p>
</p><p>DC4HSZaJiV</p></div>

Agentic AI Engineer

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