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machine learning engineer i

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p>
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.</p><p></p><p>
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!</p><p></p><p>
TA WILL POST.</p><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.<p></p><p>
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</p><p></p>
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.</div><p></p>

Machine Learning Engineer I

<div>
 <p>
  <strong>
   <em>
    <span>
     Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
    </span>
   </em>
  </strong>
 </p>
 <p>
 </p>
 <p>
  <strong>
   <span>
    Who We Are&hellip;
   </span>
  </strong>
 </p>
 <p>
  <span>
   When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
   <em>
    storytellers
   </em>
   bringing our characters to life, the
   <em>
    creators
   </em>
   bringing them to your living rooms and the
   <em>
    dreamers
   </em>
   creating what&rsquo;s next&hellip;
  </span>
 </p>
 <p>
 </p>
 <p>
  <span>
   From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
  </span>
 </p>
 <p>
 </p>
 <p>
  We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 </p>
 <p>
 </p>
 <p>
  <span>
   To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
  </span>
  Instagram
  <span>
   &nbsp;and&nbsp;
  </span>
  X
  <span>
   !
  </span>
 </p>
 <p>
 </p>
 <p>
  TA WILL POST.
 </p>
 <p>
 </p>
 <p>
 </p>
 <p>
 </p>
 <p>
  <br/>
  <p>
   <strong>
    <span>
     How We Get Things Done&hellip;
    </span>
   </strong>
  </p>
  <p>
  </p>
  <p>
   <span>
    This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
   </span>
   <span>
    <span>
     <span>
      <span>
       <span>
        <span>
         <span>
          <span>
           <span>
            <span>
             <span>
              <span>
               <span>
                <span>
                 <span>
                  <span>
                   <span>
                    www.wbd.com/guiding-principles/
                   </span>
                  </span>
                 </span>
                </span>
               </span>
              </span>
             </span>
            </span>
           </span>
          </span>
         </span>
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
   <span>
    along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
   </span>
  </p>
  <p>
  </p>
  <p>
   <strong>
    <span>
     Championing Inclusion at WBD
    </span>
   </strong>
  </p>
  Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
  <p>
  </p>
  <p>
  </p>
  <p>
   <span>
    If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
   </span>
   accessibility page
   <span>
    for instructions to submit your request.
   </span>
  </p>
  <p>
  </p>
  <p>
  </p>
  In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 </p>
 <p>
 </p>
 <p>
 </p>
</div>


Bloomberg

<div><div><div><div><div><div>Applied Machine Learning Engineer - Media Search and Recommendation
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10049313
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><h3 class="jobSectionHeader">Our Team<b>
</b></h3>
<div>Bloomberg Media empowers global business leaders with breaking news, expert opinion and proprietary data distributed with global reach. With millions of unique visitors each month, our flagship website bloomberg.com is the go-to destination for those looking to stay ahead of the curve. As one of the top 10 most visited financial and news sites on the web, we take pride in delivering top-quality content that our audience can trust.</div>
<div>
The Search and Personalization team owns the core discovery experiences on Bloomberg.com and the Bloomberg mobile app. We are responsible for how users search for, discover, and engage with content across a global audience, with a strong focus on personalization and recommendations. By powering Bloomberg&rsquo;s discovery hub, we play a critical role in helping users find the content that matters most to them, ensuring experiences are relevant, timely, and high quality. Our systems operate at web scale and sit at the intersection of backend services, data pipelines, and user-facing experiences. We are looking for a dedicated and experienced Machine Learning engineer to join the team. The ideal candidate will have a passion for Machine Learning, building distributed web scale systems and partnering with a variety of stakeholders within our expansive organization.</div>
<h3 class="jobSectionHeader"><b>
</b>What's in it for you<b>
</b></h3>
<p>As a senior engineer on the Search and Personalization team, you will play a key role in expanding Bloomberg Media&rsquo;s investment in personalization. You&rsquo;ll work closely with product managers, data scientists, and machine learning engineers to design and build systems that power personalized discovery experiences for millions of users.</p>
<p>
You&rsquo;ll have ownership over impactful projects, from shaping technical direction to delivering production systems. The role offers a mix of backend, data, and potentially some frontend work, giving you the opportunity to influence the personalization models that deliver results to users. You&rsquo;ll be working on systems that are central to Bloomberg Media&rsquo;s growth and directly visible to a global audience.</p>
<h3 class="jobSectionHeader"><b>
</b><b>We&rsquo;ll trust you to</b><b>
</b></h3>
<ul><li> Lead the design and delivery of personalization and recommendation systems that power discovery across Bloomberg.com and mobile platforms.</li></ul>
<ul><li> Build and maintain data pipelines that support personalization, experimentation, and model-driven product experiences.</li></ul>
<ul><li> Design, develop, and evolve backend services and APIs that deliver personalized content at scale with low latency.</li></ul>
<ul><li> Partner closely with the data science team to productionize models and enable rapid experimentation.</li></ul>
<ul><li> Collaborate across the stack, including with frontend engineers, to deliver cohesive and high-quality user experiences.</li></ul>
<ul><li> Make architectural decisions, drive technical discussions, and help set technical direction for the personalization platform.</li></ul>
<ul><li> Mentor other engineers and raise the overall technical bar of the team.</li></ul><br>
<br>
<h3 class="jobSectionHeader"><b>You need to have</b><b>
</b></h3>
<ul><li> 5+ years of industry experience in an Object Oriented Programming language, preferably Python or Java</li></ul>
<ul><li> 5+ years of industry experience working with large data sets, performing machine learning model experimentation, implementation and deployment.</li></ul>
<ul><li> A Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.</li></ul>
<h3 class="jobSectionHeader"><b>
</b><b>We&rsquo;d love to see</b><b>
</b></h3>
<ul><li> Exposure building and developing a content recommendation system, focusing on recommendation algorithms and machine learning capabilities</li></ul>
<ul><li> Familiarity building user behavioral models to predict users likelihood to perform high value actions like propensity to subscribe or churn</li></ul>
<ul><li> Experience with end-to-end machine learning projects, including data analysis, feature engineering, model selection, hyper-parameter tuning, model deployment and ongoing performance monitoring.</li></ul>
<h3 class="jobSectionHeader"><b>
</b><b>&middot;</b> <b>Hands-on expertise with big data systems and distributed data processing technologies such as Spark</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Proven track record building and maintaining data pipelines that power customer-facing product features.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Demonstrated leadership delivering machine learning projects from inception through delivery.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Practical expertise with public cloud platforms such as AWS.</b><b>
</b></h3><h3 class="jobSectionHeader"><b>&middot;</b> <b>Proven ability to operate and evolve web-scale distributed systems in production.</b><b>
</b></h3>
</div></div><p></p><div><div><div>Salary Range = 165000 - 260000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Applied Machine Learning Engineer - Media Search and Recommendation

Openkyber

<div><b>Title: Senior Data Analyst Location: Irving Place, New York, NY(Hybrid) Job Type: Contract Interview:- F2F Interview Job Description:</b>
<p>A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment. Advanced SQL Azure Databricks Data Engineer Associate Certificate full-stack Python Generative AI Knowledge of statistical modeling and machine learning concepts Machine Learning Operations Power BI Dashboards python Pyspark programming Nice To Have JOB SUMMARY Data Analyst w/ ML Experience JOB DESCRIPTION Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.</p>
<p>Required Skills/Experience (Skills that the successful candidate(s) must have) Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics , or related field. Strong experience in machine learning algorithms , predictive modeling, and data mining. Proficiency in Python (required) for data science workloads. Strong SQL (required) knowledge and experience with relational databases. Proficiency in PySpark(required) for data science workloads. Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. Experience with Azure Databricks , Oracle , and modern data science libraries (e.g., scikit-learn, pandas, NumPy). Experience with GenAI and large language models. Ability to interpret complex datasets and produce actionable insights. Must know how to analyze the root cause of dashboard errors. Have experience in ML Ops and have strong coding background. Have experience with Natural Language Processing (NLP). Knowledge or experience with A/B Testing. Working knowledge of designing, training, and implementing machine learning models. Familiarity with cloud-based infrastructure Excellent communication and problem-solving skills. 7 or more years of experience in data science and machine learning engineering.</p>
<p>Additional Skills (Skills that are a plus, but not required) Knowledge of statistical methods and experimental design.</p>
<p>Responsibilities Advanced Analytics &amp; Machine Learning Design, develop, and optimize machine learning models (forecasting, classification, clustering). Apply data mining techniques to uncover patterns and insights in large datasets. Perform feature engineering, model validation, and performance tuning. Explore and deploy modern AI and ML approaches to enhance automation and analytics.</p>
<p>Data Preparation &amp; Quality Prepare structured and unstructured data for modeling and advanced analysis. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with Data Engineering to maintain efficient data pipelines. Identify data quality issues and propose remediation.</p>
<p>Analytics, Insights &amp; Reporting Conduct deep-dive analyses to identify trends and improvement opportunities. Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. Support the development of dashboards, metrics, and analytical solutions.</p>
<p>Cross-Team Collaboration Work with architects, engineers, and analysts to define analytical requirements. Contribute to conceptual data model design and workflow optimization. Promote best practices in machine learning, analytics, and data governance.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Cognos Business Intelligence Analyst

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.</p><p>
As a <b>Senior Associate, Generative AI Engineer</b> in the <b>Chief Data and Analytics Office</b>, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.</p><p>
</p><p>Job responsibilities
</p><ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li><li>
Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li><li>
Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li><li>
Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li><li>
Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li><li>
Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li><li>
Optimize system performance, scalability, and cost across inference, storage, and compute</li><li>
Define and track measurable outcomes, including objectives and key results aligned to business needs</li><li>
Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li><li>
Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li></ul><p>
</p><p>Required qualifications, capabilities, and skills
</p><ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li><li>
3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li><li>
Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li><li>
Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li><li>
Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li><li>
Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li><li>
Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li><li>
Ability to define success metrics and write clear objectives and key results aligned to business expectations</li><li>
Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li><li>
Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li></ul><p>
</p><p>Preferred qualifications, capabilities, and skills
</p><ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li><li>
Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li><li>
Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li><li>
Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li><li>
Experience with multimodal large language model use cases (text plus image, speech, or video)</li><li>
Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li><li>
Experience measuring and improving model quality using offline evaluation and production monitoring</li></ul><p>
#LI-RB3</p>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience programming in Python or C++.<br>
</li>
<li>1 year of experience with one or more of the following: sequence modeling, deep learning, natural language processing (NLP), reinforcement learning, or building machine learning models in production.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Computer Science, or a related technical field.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in applied mathematics or statistical analysis.</li>
<li>Experience working with Ads.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
In this role, you will design, train, deploy, and serve models that operate at a massive scale, directly impacting billions of ads on Google Search. You will have the opportunity to innovate and collaborate with research teams to implement technologies.</p>
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
<br>
<br>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Enhance and simplify the machine learning models that are crucial to billions in Google Ads business.</li>
<li>Drive improvements in quality, stability, and efficiency across all stages of model development, from initial concept to global deployment.</li>
<li>Design and execute experiments using sophisticated statistical methods to solve machine learning issues.</li>
<li>Enhance code health and develop automation processes.</li>
<li>Refine alerting systems to guarantee model stability and peak performance.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Search Ads

Bank of America

<div>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
 <br/>
 <br/>
 Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
 <br/>
 <br/>
 Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
 <br/>
 <br/>
 At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 <br/>
 <br/>
 <strong>
  The Data and AI team within Global Payment Solutions (GPS) at Bank of America
 </strong>
 is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.
 <br/>
 <br/>
 <strong>
  Who we are:
  <br/>
  <br/>
 </strong>
 The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with &ldquo;think tank&rdquo; sessions with business teams that is later translated to tangible solutions and products.
 <br/>
 <br/>
 <strong>
  Representative Projects:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients
  </li>
  <li>
   Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions
  </li>
  <li>
   Develop AI models that shift foreign currency conversion &ldquo;up the payment stream,&rdquo; reducing reliability on beneficiary banks
  </li>
  <li>
   Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who we&rsquo;re looking for:
  <br/>
  <br/>
 </strong>
 As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.
 <br/>
 <br/>
 If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Frame abstract business problems using advanced data science and machine learning algorithms
  </li>
  <li>
   Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
  </li>
  <li>
   Own critical research and application development, strengthening the firm's competitive advantage
  </li>
  <li>
   Shape cross-team collaboration to advance the firm's data science capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum Bachelor&rsquo;s degree in a quantitative field such as computer science, math, statistics, and physics
  </li>
  <li>
   Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)
  </li>
  <li>
   Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)
  </li>
  <li>
   Prior experience working in a highly technical data driven research environment
  </li>
  <li>
   Ability to communicate complex topics in a concise and coherent manner
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
  </li>
  <li>
   Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
  </li>
  <li>
   Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
  </li>
  <li>
   Are excited to dive into new technical areas on a regular basis
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Shift:
  <br/>
  <br/>
 </strong>
 1st shift (United States of America)
 <br/>
 <br/>
 <strong>
  Hours Per Week:
  <br/>
  <br/>
 </strong>
 40
</div>


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