About the role
structured by ORIBrowse← View all opportunitiesMember of Technical Staff, ML Infrastructure$130K - $160K / yrFull-time positionSan Jose, CA$130K - $160Kper yearPosted by Talex.aitalex.aiAbout DeepReach DeepReach is building the next-generation data infrastructure for robotics. We help bridge the gap between promising robot models and…
What you will do
- Build and maintain the infrastructure for robotics data processing, model training, evaluation, and experiment management
- Develop scalable pipelines for ingesting, filtering, curating, versioning, and serving robotics datasets
- Improve internal tooling for training runs, distributed jobs, checkpointing, dataset management, and metrics tracking
- Build systems that connect deployment data, teleoperation data, and model evaluation into a fast iteration loop
- Work closely with research and deployment teammates to remove bottlenecks in training and evaluation workflows
What they are looking for
- Bachelor’s degree or equivalent practical experience in Computer Science, Machine Learning, Systems, or a related field
- Strong engineering experience in ML infrastructure, data platforms, training systems, or large-scale experimentation frameworks
- Strong coding skills in Python and solid familiarity with modern ML tooling
- Experience with one or more of the following: distributed training, data pipelines, orchestration, experiment tracking, model evaluation systems, dataset versioning, or GPU job infrastructure
- Ability to build fast, pragmatic systems in a startup environment
- Strong ownership and debugging skills across infrastructure and ML workflows
- Interest in robotics, embodied AI, or multimodal learning systems
Nice to have
- You have built internal tooling that significantly accelerated research or ML iteration speed
- You have worked on large-scale data or training systems used by multiple teams
- You are able to understand model development pain points and design infrastructure that solves them
- You can go from ambiguous requirements to reliable internal platforms with minimal supervision
- You care about both engineering quality and iteration speed
Benefits
- Health insurance
- Free food
- 401(k)
- Generous PTO
Full posting text
Browse← View all opportunitiesMember of Technical Staff, ML Infrastructure$130K - $160K / yrFull-time positionSan Jose, CA$130K - $160Kper yearPosted by Talex.aitalex.aiAbout DeepReach DeepReach is building the next-generation data infrastructure for robotics. We help bridge the gap between promising robot models and real-world deployment by building the systems, data pipelines, and learning loops needed to make robots improve in production.
We believe robotics progress will be driven not just by better models, but by better data engines: how data is collected, filtered, evaluated, and turned into measurable gains on real tasks. Our team works across robot deployment, teleoperation, data generation, model training, and evaluation, with a strong bias toward hands-on execution and fast iteration. The Role As a Member of Technical Staff, ML Infrastructure, you will build the core systems that make large-scale robotics data and model development possible.
You will work on the infrastructure layer behind data ingestion, curation, training, evaluation, experiment tracking, and deployment workflows. This role is ideal for someone who thinks like a startup engineer but has strong technical curiosity and research awareness. You should be comfortable reading papers or open-source systems, reproducing key ideas, and then building pragmatic internal platforms that help the team move faster and learn faster.
What You’ll Do Build and maintain the infrastructure for robotics data processing, model training, evaluation, and experiment management Develop scalable pipelines for ingesting, filtering, curating, versioning, and serving robotics datasets Improve internal tooling for training runs, distributed jobs, checkpointing, dataset management, and metrics tracking Build systems that connect deployment data, teleoperation data, and model evaluation into a fast iteration loop Work closely with research and deployment teammates to remove bottlenecks in training and evaluation workflows Design internal benchmarks and experiment infrastructure that make model progress measurable and reproducible Read and adapt ideas from research and open-source tooling to improve our internal platform What We’re Looking For Bachelor’s degree or equivalent practical experience in Computer Science, Machine Learning, Systems, or a related field Strong engineering experience in ML infrastructure, data platforms, training systems, or large-scale experimentation frameworks Strong coding skills in Python and solid familiarity with modern ML tooling Experience with one or more of the following: distributed training, data pipelines, orchestration, experiment tracking, model evaluation systems, dataset versioning, or GPU job infrastructure Ability to build fast, pragmatic systems in a startup environment Strong ownership and debugging skills across infrastructure and ML workflows Interest in robotics, embodied AI, or multimodal learning systems Strong Signals You have built internal tooling that significantly accelerated research or ML iteration speed You have worked on large-scale data or training systems used by multiple teams You are able to understand model development pain points and design infrastructure that solves them You can go from ambiguous requirements to reliable internal platforms with minimal supervision You care about both engineering quality and iteration speed Why Join Us Build the infrastructure layer behind next-generation robotics data and learning systems Work at the center of data, models, and deployment feedback loops Own foundational systems that shape how the entire team operates Join an onsite team that values speed, ownership, and technical range Benefits include health insurance, free food, 401(k), and generous PTO Location Bay Area, CA (Onsite) How to Apply Click Apply Now and submit your resume along with links to relevant projects, GitHub, or portfolio work.
We run a fast interview process and aim to move quickly for strong candidates. If you encounter any issues while applying, please contact info@talex.ai with a screenshot.Posted 5 months agoRefer a Friend$130K - $160K / yrFull-time position · 5 months agoFirst Name*Last Name*Email*Phone*Afghanistan+93Albania+355Algeria+213Andorra+376Angola+244Antigua and Barbuda+1268Argentina+54Armenia+374Aruba+297Australia+61Austria+43Azerbaijan+994Bahamas+1242Bahrain+973Bangladesh+880Barbados+1246Belarus+375Belgium+32Belize+501Benin+229Bhutan+975Bolivia+591Bosnia and Herzegovina+387Botswana+267Brazil+55British Indian Ocean Territory+246Brunei+673Bulgaria+359Burkina Faso+226Burundi+257Cambodia+855Cameroon+237Canada+1Cape Verde+238Caribbean Netherlands+599Cayman Islands+1Central African Republic+236Chad+235Chile+56China+86Colombia+57Comoros+269Congo+243Congo+242Costa Rica+506Côte d'Ivoire+225Croatia+385Cuba+53Curaçao+599Cyprus+357Czech Republic+420Denmark+45Djibouti+253Dominica+1767Dominican Republic+1Ecuador+593Egypt+20El Salvador+503Equatorial Guinea+240Eritrea+291Estonia+372Ethiopia+251Faroe Islands+298Fiji+679Finland+358France+33French Guiana+594French Polynesia+689Gabon+241Gambia+220Georgia+995Germany+49Ghana+233Greece+30Greenland+299Grenada+1473Guadeloupe+590Guam+1671Guatemala+502Guinea+224Guinea-Bissau+245Guyana+592Haiti+509Honduras+504Hong Kong+852Hungary+36Iceland+354India+91Indonesia+62Iran+98Iraq+964Ireland+353Israel+972Italy+39Jamaica+1876Japan+81Jordan+962Kazakhstan+7Kenya+254Kiribati+686Kosovo+383Kuwait+965Kyrgyzstan+996Laos+856Latvia+371Lebanon+961Lesotho+266Liberia+231Libya+218Liechtenstein+423Lithuania+370Luxembourg+352Macau+853Macedonia+389Madagascar+261Malawi+265Malaysia+60Maldives+960Mali+223Malta+356Marshall Islands+692Martinique+596Mauritania+222Mauritius+230Mayotte+262Mexico+52Micronesia+691Moldova+373Monaco+377Mongolia+976Montenegro+382Morocco+212Mozambique+258Myanmar+95Namibia+264Nauru+674Nepal+977Netherlands+31New Caledonia+687New Zealand+64Nicaragua+505Niger+227Nigeria+234North Korea+850Norway+47Oman+968Pakistan+92Palau+680Palestine+970Panama+507Papua New Guinea+675Paraguay+595Peru+51Philippines+63Poland+48Portugal+351Puerto Rico+1Qatar+974Réunion+262Romania+40Russia+7Rwanda+250Saint Kitts and Nevis+1869Saint Lucia+1758Saint Pierre & Miquelon+508Saint Vincent and the Grenadines+1784Samoa+685San Marino+378São Tomé and Príncipe+239Saudi Arabia+966Senegal+221Serbia+381Seychelles+248Sierra Leone+232Singapore+65Slovakia+421Slovenia+386Solomon Islands+677Somalia+252South Africa+27South Korea+82South Sudan+211Spain+34Sri Lanka+94Sudan+249Suriname+597Swaziland+268Sweden+46Switzerland+41Syria+963Taiwan+886Tajikistan+992Tanzania+255Thailand+66Timor-Leste+670Togo+228Tonga+676Trinidad and Tobago+1868Tunisia+216Turkey+90Turkmenistan+993Tuvalu+688Uganda+256Ukraine+380United Arab Emirates+971United Kingdom+44United States+1Uruguay+598Uzbekistan+998Vanuatu+678Vatican City+39Venezuela+58Vietnam+84Wallis & Futuna+681Yemen+967Zambia+260Zimbabwe+263Social MediaApply NowRefer a Friend$130K - $160K / yrFull-time position · San Jose, CAApply NowHelp