> job detail
T
🤖ML Engineer
Senior ML Engineer
Truveta · Seattle, WA
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
46d ago
location
Seattle, WA
languages
go, python
tools
—
> stack
gopythonpytorch
> education
phd
> description
<p style="text-align: center;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>Senior ML Engineer - Healthcare AI Innovation</strong></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our <a href="https://www.truveta.com/careers/">company values</a>.</span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>This position is based out of our headquarters in the Greater Seattle area. <span style="color: rgb(255, 255, 255);">#LI-</span></strong><strong><span style="color: rgb(255, 255, 255);">hybrid</span></strong></span></p>
<div class="scriptor-paragraph"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>About Truveta</strong></span></div>
<div class="scriptor-paragraph"> </div>
<div class="scriptor-paragraph"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span class="TextRun SCXW113244169 BCX8" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW113244169 BCX8">Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over </span><span class="NormalTextRun SCXW113244169 BCX8">1</span><span class="NormalTextRun SCXW113244169 BCX8">20 million patients</span><span class="NormalTextRun SCXW113244169 BCX8"> (which represents over a third of the US population)</span><span class="NormalTextRun SCXW113244169 BCX8">, we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes.</span></span><span class="EOP Selected SCXW113244169 BCX8" data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></div>
<div class="scriptor-paragraph"> </div>
<div class="scriptor-paragraph"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>This Opportunity</strong></span></div>
<div class="scriptor-paragraph">
<div class="scriptor-paragraph">
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">We are seeking a Sr. </span><span data-contrast="auto">Machine Learning Engineer</span><span data-contrast="auto"> to help pioneer new applications of AI on large-scale, real-world clinical data.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">While this is an engineering role, it is deeply </span><span data-contrast="auto">research-oriented and exploratory</span><span data-contrast="auto">. You will work at the frontier of </span><span data-contrast="auto">machine learning and healthcare</span><span data-contrast="auto">, developing novel approaches that go beyond established patterns, turning cutting-edge ideas into scalable, impactful solutions.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">This role is ideal for individuals who enjoy both </span><span data-contrast="auto">building systems</span><span data-contrast="auto"> and </span><span data-contrast="auto">exploring new problem spaces</span><span data-contrast="auto">, especially in domains where data, medicine, and AI intersect.</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-ccp-props="{"335559738":240,"335559739":240}">Who You Are</span></strong></span></p>
<ul>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Builder + Explorer:</span></strong><span data-contrast="auto"> You enjoy creating robust systems while also venturing into uncharted problem spaces</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Curious:</span></strong><span data-contrast="auto"> You ask not just “how do we solve this?” but “what should we be solving next?”</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Impact-driven:</span></strong><span data-contrast="auto"> You care about applying AI to meaningful healthcare challenges</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Comfortable with ambiguity:</span></strong><span data-contrast="auto"> You thrive in environments where problems are not fully defined</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Collaborative:</span></strong><span data-contrast="auto"> You work effectively across technical and clinical domains</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></li>
</ul>
</div>
</div>
<h4><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">What You'll Do</span></h4>
<ul>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Build & Innovate:</span></strong><span data-contrast="auto"> Design and implement advanced ML models and systems using large-scale EHR data</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Explore New Frontiers:</span></strong><span data-contrast="auto"> Identify and develop novel use cases for AI in healthcare that have not yet been widely explored</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Work Across Modalities:</span></strong><span data-contrast="auto"> Leverage structured and unstructured clinical data, and integrate emerging data types such as genomics, imaging, and clinical notes</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Translate Research into Practice:</span></strong><span data-contrast="auto"> Prototype new ideas and evolve them into production-ready solutions</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Collaborate Broadly:</span></strong><span data-contrast="auto"> Partner with clinicians, researchers, product teams, and external stakeholders (e.g., pharma, life sciences organizations)</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Deliver Impact:</span></strong><span data-contrast="auto"> Build solutions that enable better decision-making for customers and ultimately improve patient outcomes</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></li>
</ul>
<h4><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">What We're Looking For</span></h4>
<p style="padding-left: 40px;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>Basic Qualifications</strong></span></p>
<ul>
<li style=" font-size: 10pt; font-family: helvetica, arial, sans-serif;">
<ul>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">Bachelor’s or Master’s degree (or PhD) in Computer Science, Machine Learning, or a related field</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Strong foundation in machine learning, deep learning, or applied statistics </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Experience building and deploying ML models in real-world settings </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)<span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></li>
</ul>
</li>
</ul>
<p style="padding-left: 40px;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-teams="true"><strong>Preferred Qualifications</strong></span></p>
<ul>
<li style=" font-size: 10pt; font-family: helvetica, arial, sans-serif;">
<ul>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">Experience working with healthcare or biomedical data (EHRs, clinical notes, genomics, imaging)</span> </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Familiarity with modern ML approaches such as: </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Large language models / foundation models </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Multimodal learning<span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Causal inference </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Time-series and longitudinal modeling </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Experience bridging research and engineering (e.g., taking ideas from papers to production) </span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Publications or demonstrated innovation in applied ML (a plus, not required)<span data-ccp-props="{"335559738":240,"335559739":240}"> </span></span></li>
</ul>
</li>
</ul>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;" data-teams="true"><strong>Why Truveta?</strong></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.</span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>We Offer:</strong></span></p>
<ul>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Interesting and meaningful work for every career stage</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Great benefits package</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Comprehensive benefits with strong medical, dental and vision insurance plans</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">401K plan</span></li>
<li class="li1" style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Professional development & training opportunities for continuous learning</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Work/life autonomy via flexible work hours and flexible paid time off</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Generous parental leave</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Regular team activities (virtual and in-person)</span></li>
<li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">The base pay for this position is $175,000 to $200,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.</span></li>
</ul>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><em>If you are based in California, we encourage you to read this important information for California residents </em><a href="https://truvetaexternal.sharepoint.com/:b:/s/HR/EdHvOayMeqVCr4r3AHzGRZ8BP_gNgn8GJlP3kpmzCS0W8g?e=3bimck"><em>linked</em> <em>here.</em></a></span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.</span></p>
<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong><span data-teams="true">Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.</span></strong></span></p>
<p> </p>