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Jobs(31,365)/Software Engineer Role(2,148)/Serve Robotics (4) - Software Engineer, ML Infrastructure
Serve Robotics

Serve Robotics - Software Engineer, ML Infrastructure

los angeles, california , United States$155k - $190k+ Equity4mo ago
In OfficeMidNAArtificial IntelligenceMaterialsSoftware EngineerML EngineerPythonSQLVectorGeminiDocumentation

Requirements

• BS or MS in computer science with focus in data engineering and/or machine learning • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows • Experience building data mining and search capabilities • Experience with both Python and SQL is required • Solid understanding of data distributions and their impact on ML Models • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc • What Makes You Stand Out • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc) • Experience working with Multi Modal data (Lidar, Camera, etc) • Experience optimizing large scale vector databases

Responsibilities

• Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction. • Build data discovery features for the platform. • Create and maintain search features such as natural language querying • Develop and maintain our orchestration and scheduling systems. • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management • Build integrations with annotation providers to efficiently review large scale data preannotations • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Benefits

• $155K – $190K • Offers Equity • The salary range listed in this posting is representative of the range of levels being considered for this position. Total compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. • or drag and drop here • Library/package that you are most impressed with. Something you feel is genius • Do it, ask questions later • Clarify context first to ensure a safe, correct approach. • Seek guidance so you can handle the task confidently. • Add retries + artifact capture; schedule deep dive • Disable job until fixed; prioritize stability • Keep re-running; it usually passes • Roll back to an older pipeline; accept quality drift • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran

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