machine learning engineer i Jobs in New York

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Middesk

<div>
 <strong>
  About Middesk
  <br/>
  <br/>
 </strong>
 Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
 <br/>
 <br/>
 Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 We&rsquo;re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we&rsquo;re uniquely positioned to create a new generation of ML-powered solutions for trust and risk.
 <br/>
 <br/>
 We&rsquo;re looking for a
 <strong>
  hands-on Machine Learning Engineer with strong Data Science expertise
 </strong>
 to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you&rsquo;ll have the opportunity to
 <strong>
  own models from concept to production
 </strong>
 while working closely with product managers, engineers, and data platform teammates who support and amplify your work.
 <br/>
 <br/>
 This is a rare chance to join an
 <strong>
  earlier-stage company
 </strong>
 where you&rsquo;ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers.
 <br/>
 <br/>
 What You&rsquo;ll Do:
 <br/>
 <br/>
 <ul>
  <li>
   End-to-end ML ownership: Lead the full lifecycle of ML systems &mdash; feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.
  </li>
  <li>
   Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.
  </li>
  <li>
   Design &amp; deploy production models: Build high-performance ML applications in risk, fraud, trust &amp; safety, and compliance domains.
  </li>
  <li>
   Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability.
  </li>
  <li>
   Experiment &amp; learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact.
  </li>
  <li>
   Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases.
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years applied ML experience with proven impact in risk, fraud, trust &amp; safety, compliance, fintech, or other high-stakes domains.
  </li>
  <li>
   Track record of owning ML models end-to-end &mdash; from research and design to deployment, monitoring, and retraining in production.
  </li>
  <li>
   Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code.
  </li>
  <li>
   Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools.
  </li>
  <li>
   Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams.
  </li>
  <li>
   Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life.
  </li>
  <li>
   Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Haves:
 <br/>
 <br/>
 <ul>
  <li>
   B2B SaaS experience, ideally building ML products for enterprise customers.
  </li>
  <li>
   Familiarity with graph, LLM-based feature generation, or AI agent workflows.
  </li>
  <li>
   Experience scaling ML across multiple products or risk domains.
  </li>
 </ul>
</div>


Machine Learning Engineer

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Machine Learning Engineer – Remote

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

Soundcloud

<div><div>SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.</div>
<div>
<div><div><p>We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you'll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.</p>
<p>
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.</p>
</div>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>Develop, test, and productionize ML models</li>
<li>Make technical decisions considering cost, latency, complexity, and maintainability</li>
<li>Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions</li>
<li>Design and implement data pipelines, feature engineering, model training, and serving infrastructure</li>
<li>Write technical RFCs and communicate trade-offs to diverse stakeholders</li>
<li>Set up monitoring, A/B testing, and metrics frameworks to measure real user impact</li>
<li>Debug complex issues across data pipelines, ML models, and distributed systems</li>
<li>Champion maintainable code over clever code - write clear, testable Scala/Python that your teammates can modify</li>
<li>Share knowledge through documentation, code reviews, and mentoring</li>
<li>Contribute to technical strategy and team best practices</li>
<li>Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods</li>
</ul>
<p><b>Experience and Background:</b></p>
<ul>
<li>1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users</li>
<li>4+ years of software engineering experience - you write production code, not just notebooks</li>
<li>Strong Scala knowledge or closely related JVM languages, with strong functional programming experience. Python and Go are a Plus.
</li><li>Deep SQL skills for massive datasets (BigQuery, Spark)</li>
<li>Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)</li>
<li>Familiarity with TensorFlow, PyTorch, or similar frameworks</li>
<li>Experience with distributed data processing and ETL pipelines (Airflow, Spark)</li>
<li>Understanding of data consistency patterns, eventual consistency, and the trade-offs</li>
<li>You can debug issues across multiple systems and data sources</li>
</ul>
</div><p><i>The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!</i></p>
</div>
<h4 class="jobSectionHeader"><b>About us:</b></h4>
<ul><li>We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)</li>
<li>We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home</li>
<li>We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone's voice, perspective and experience is respected and heard</li>
<li>We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities</li>
</ul><h4 class="jobSectionHeader"><b>Benefits:</b></h4>
<ul><li>Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources</li>
<li>Robust 401k program</li>
<li>Employee Equity Plan</li>
<li>Generous professional development allowance</li>
<li>Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!</li>
<li>Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually</li>
<li>16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children</li>
<li>Various snacks, goodies, and 2 free lunches weekly when at the office</li>
</ul><h4 class="jobSectionHeader"><b>Diversity, Equity and Inclusion at SoundCloud</b></h4>
<p><i>
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what's next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.</i></p>
<p><i>
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.</i></p></div>

Senior Machine Learning Engineer, Recommendations (Experience)

GeneDx

<div><p><b>Summary</b></p>
<p>
We are seeking a Senior AI Engineer to design and build intelligent systems that transform how patients and clinicians interact with health data. You will develop longitudinal patient health views, create personalized agentic workflows for patient outreach, and integrate deeply with our data warehouse - all while crafting intuitive, delightful interfaces for exploring complex health information.</p>
<p>
This is a hands-on, high-impact individual contributor role requiring 8-10 years of experience and deep expertise across generative AI, clinical data systems, and modern software engineering.</p>
<p><b>
Job Responsibilities</b></p>
<ul>
<li>Longitudinal Patient Health Views - Design and build comprehensive, longitudinal representations of patient health by aggregating and normalizing data from electronic health records, lab results, genomic reports, and other clinical sources.</li>
<li>Agentic Workflows - Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach (e.g., follow-up scheduling, result delivery, care gap identification).</li>
<li>Data Warehouse Integration - Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.</li>
<li>Interface Design and Development - Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.</li>
<li>Generative AI and NLP - Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.</li>
<li>Technical Leadership - Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.</li>
</ul>
<p><b>People Manager</b></p>
<ul>
<li>No</li>
</ul>
<p><b>Education, Experience, and Skills</b></p>
<ul>
<li>8+ years of professional software engineering experience, with significant depth in AI/ML.</li>
<li>Python expertise - Advanced proficiency; this is your primary language.</li>
<li>Agentic AI systems - Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.</li>
<li>Agentic coding - Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.</li>
<li>Electronic Health Data - Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.</li>
<li>Clinical ontologies - Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.</li>
<li>Generative AI - Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).</li>
<li>Data integration - Experience integrating with data warehouses and building reliable data pipelines.</li>
<li>Develop new methods and approaches for solving complex problems.</li>
<li>Be accountable for significant portions of projects with proven, consistent contributions.</li>
<li>Work on complex issues requiring in-depth evaluation and independent judgment.</li>
<li>Collaborate cross-functionally with product, design, clinical, and data teams.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience in genomics, genetic testing, or precision medicine.</li>
<li>Experience with building rich data interfaces.</li>
<li>Knowledge of HIPAA compliance and healthcare data privacy requirements.</li>
<li>Bachelor's degree in Computer Science, AI/ML, Biomedical Informatics, or related field; Master's preferred.</li>
</ul>
<p><b>Certificates, Licenses, Registrations</b></p>
<ul>
<li>None</li>
</ul>
<p><b>Work Environment</b></p>
<ul>
<li>This is a fully remote position. The employee will work from a home office or other suitable remote location with reliable high-speed internet access. Work is performed in a climate-controlled environment using standard office equipment, including a computer, phone, and video conferencing tools. Your standard work schedule and hours will be established in collaboration with your leader and may be adjusted to align with evolving business needs.</li>
</ul>
<p><b>Physical Demands</b></p>
<p>
This is a sedentary role requiring prolonged periods of sitting while working at a computer. Physical demands include:</p>
<ul>
<li>Sitting for extended periods (up to 8 hours per day)</li>
<li>Repetitive use of hands and fingers for typing and mouse operation</li>
<li>Visual acuity for reading computer screens and documents</li>
<li>Ability to communicate effectively via phone and video calls</li>
<li>Occasional lifting of up to 10 pounds (office supplies, equipment)</li>
</ul>
<p>Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.</p>
<p><b>
Acknowledgements</b></p>
<p>
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor.
</p><p>#LI-REMOTE</p><p></p><div><p><br>
~</p>
<p><b>
Science - Minded, Patient - Focused.</b></p>
<p>
At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pioneering work in the identification of new disease-causing genes, our commitment to genetic disease detection, discovery, and diagnosis is based on sound science and is focused on enhancing patient care.</p>
<p><b>
Experts in what matters most.</b></p>
<p>
With hundreds of genetic counselors, MD/PhD scientists, and clinical and molecular genomics specialists on staff, we are the industry's genetic testing experts and proud of it. We share the same goal as healthcare providers, patients, and families: to provide clear, accurate, and meaningful answers we all can trust.</p>
<p><b>
SEQUENCING HAS THE POWER TO SOLVE DIAGNOSTIC CHALLENGES.
</b></p><p>From sequencing to reporting and beyond, our technical and clinical experts are providing guidance every step of the way:</p>
<p><b>
TECHNICAL EXPERTISE</b></p>
<ul>
<li><i>High-quality testing</i>: Our laboratory is CLIA certified and CAP accredited and most of our tests are also New York State approved.</li>
<li><i>Advanced detection</i>: By interrogating genes for complex variants, we can identify the underlying causes of conditions that may otherwise be missed.</li>
</ul>
<p><b>CLINICAL EXPERTISE</b></p>
<ul>
<li><i>Thorough analysis</i>: We classify variants according to our custom adaptation of the most recent guidelines. We then leverage our rich internal database for additional interpretation evidence.</li>
<li><i>Customized care</i>: Our experts review all test results and write reports in a clear, concise, and personalized way. We also include information for research studies in specific clinical situations.</li>
<li><i>Impactful discovery</i>: Our researchers continue working to find answers even after testing is complete. Through both internal research efforts and global collaborations, we have identified and published hundreds of new disease-gene relationships and developed novel tools for genomic data analysis. These efforts ultimately deliver more diagnostic findings to individuals.</li>
</ul>
<p>Learn more About Us here.</p>
<p><b>
Our Culture</b></p>
<p>
At GeneDx, we are dedicated to cultivating an environment where creativity and innovation thrive. We believe in the power of community and collaboration, where diverse perspectives are embraced, and every voice contributes to our shared success. Our team is a vibrant mix of professionals who challenge and support each other in equal measure, fostering growth both personally and professionally. When you join us, you're not just taking on a job&mdash;you're joining a movement. A movement that champions curiosity, embraces change, and believes in making an impact, one patient at a time. Cultural principles we live by:</p>
<ul>
<li>Be bold in our vision &amp; brave in our execution.</li>
<li>Communicate directly, with empathy.</li>
<li>Do what we say we're going to do.</li>
<li>Be adaptable to change.</li>
<li>Operate with a bias for action.</li>
</ul>
<p><b>Benefits include:</b></p>
<ul>
<li>Paid Time Off (PTO)</li>
<li>Health, Dental, Vision and Life insurance</li>
<li>401k Retirement Savings Plan</li>
<li>Employee Discounts</li>
<li>Voluntary benefits</li>
</ul>
<p><b>GeneDx is an Equal Opportunity Employer.</b><br>
<br>
All privacy policy information can be found here.</p></div></div>

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