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🤖ML Engineer

Senior, ML Engineer

Torc Robotics · Ann Arbor, MI, Remote - US
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
1d ago
location
Ann Arbor, MI, Remote - US
languages
python, sql
tools
aws, azure, databricks
> stack
pythonsqlawsazuredatabricksspark
> description
<p><strong><span data-contrast="none">About the Company</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <p><span data-contrast="none">At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. </span><span data-contrast="none">A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. </span><a href="https://torc.ai/daimler-testing-automated-trucks-public/"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Now a part of the Daimler family</span></span></a><span data-contrast="none">, we are focused solely on developing software for automated trucks to transform how the world moves freight. J</span><span data-contrast="none">oin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.&nbsp; </span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <p><strong><span data-contrast="none">Meet The Team:</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <p><span data-contrast="none">The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data&nbsp;required&nbsp;for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous&nbsp;perception, sensor fusion, and generative simulation testing.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <p><strong><span data-contrast="none">What You'll Do:</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Scenario Mining at Scale:</span></strong><span data-contrast="none">&nbsp;Architect and&nbsp;optimize&nbsp;distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Advanced Event Tagging:</span></strong><span data-contrast="none">&nbsp;Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify&nbsp;and describe&nbsp;complex environmental and behavioral scenarios.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Standardized Data Structuring:</span></strong><span data-contrast="none">&nbsp;Extract and format scenario data&nbsp;utilizing&nbsp;the Pegasus layer standard (alongside&nbsp;opensource&nbsp;frameworks)&nbsp;to ensure semantic consistency and rigorous metadata integrity.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Data Flywheel Integration:</span></strong><span data-contrast="none">&nbsp;Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Cross-Functional Alignment:</span></strong><span data-contrast="none">&nbsp;Operate&nbsp;with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in&nbsp;perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Mentorship &amp; Team Growth:</span></strong><span data-contrast="none">&nbsp;Guide, mentor, and elevate less-experienced engineers. Lead design reviews,&nbsp;establish&nbsp;coding standards, and foster a culture of technical excellence and collaborative problem-solving.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">What You'll Need to Succeed:</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">BS or MS</span></strong><span data-contrast="none">&nbsp;in Computer Science, Robotics, Engineering, or a STEM field, with&nbsp;</span><strong><span data-contrast="none">6+ years</span></strong><span data-contrast="none">&nbsp;in data engineering, ML systems, or autonomous data curation.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Core Languages:</span></strong><span data-contrast="none">&nbsp;Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">ML &amp; Dataset Curation:</span></strong><span data-contrast="auto">&nbsp;Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Data Exploration:</span></strong><span data-contrast="none">&nbsp;Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Cloud &amp; Compute:</span></strong><span data-contrast="none">&nbsp;Expertise&nbsp;in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">AV Standards:</span></strong><span data-contrast="none">&nbsp;Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Communication:</span></strong><span data-contrast="none">&nbsp;Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Technical Leadership:</span></strong><span data-contrast="none">&nbsp;Proven&nbsp;track record&nbsp;of mentoring teams, driving system architecture, and defining engineering roadmaps.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">Bonus Points!</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:150}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Auto-labeling &amp; VLMs:</span></strong><span data-contrast="auto">&nbsp;Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Model Serving:</span></strong><span data-contrast="auto">&nbsp;Experience with&nbsp;vLLM,&nbsp;SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Semantic Inference:</span></strong><span data-contrast="auto">&nbsp;Experience with semantic extraction and attribute mapping to help&nbsp;build out&nbsp;a robust semantic inference engine, moving beyond standard bounding-box object detection.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Data Tooling:</span></strong><span data-contrast="auto">&nbsp;Familiarity with parsing robotics formats (ROS bags, MCAP) and&nbsp;optimizing&nbsp;high-performance columnar storage formats (Parquet, Arrow).</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Downstream Integration:</span></strong><span data-contrast="auto">&nbsp;Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Advanced Retrieval:</span></strong><span data-contrast="auto">&nbsp;Experience building semantic retrieval systems or vector databases for automotive data.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></li> </ul> <p><strong>Perks of Being a&nbsp;Torc’r</strong>  &nbsp;</p> <p>Torc cares about our team&nbsp;members&nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  &nbsp;</p> <ul> <li>A competitive compensation package that includes a bonus&nbsp;component&nbsp;and stock options</li> <li>100% paid medical, dental, and vision premiums for full-time employees  </li> <li>401K plan with a 6% employer match</li> <li>Flexibility in schedule and generous paid vacation (available immediately&nbsp;after start date)</li> <li>Company-wide holiday office closures</li> <li>AD+D and Life Insurance &nbsp;</li> </ul> <p>At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. &nbsp;</p> <p><span data-contrast="none">Our compensation reflects the cost of labor across several geographic markets.&nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.&nbsp;Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.</span><span data-ccp-props="{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><strong>Job ID:</strong> R-102717</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><span style="text-decoration: underline;"><strong>Hiring Range for Job Opening&nbsp;</strong></span></div><div class="title">US Pay Range</div><div class="pay-range"><span>$177,300</span><span class="divider">&mdash;</span><span>$212,800 USD</span></div></div></div>