Nasdaq:

INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.

Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.

We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the

Role:

Innodata builds the data that physical AI depends on. This role exists because the value of that data is determined long before a model sees it, in how it is collected, structured, and labeled. You will be the bridge between our data operation and the requirements of robotics foundation models. You will determine how Innodata's existing and future data is best used for robotics, and you will guide our collection effort so that what we capture is positioned for real foundation model use cases rather than collected for its own sake. The premise of the work is that progress in physical AI is bottlenecked by data design, not model architecture, and your job is to make that thesis concrete. This is a hybrid role requiring frequent on-site presence at our Saddle Brook, NJ facility. Candidates should be located within commutable distance or willing to travel to Saddle Brook regularly. We are hiring primarily at the mid to senior level, and we will consider very senior candidates with the right background.

What You'll Own:

Translate the requirements of robotics foundation models, including vision-language-action models, world models, and manipulation and locomotion policies, into concrete data specifications covering modalities, action representations, sampling, annotation schemas, and evaluation criteria.\nDetermine how Innodata's existing and incoming data should be structured, formatted, and enriched to maximize its value for training and evaluating robot foundation models.\nGuide the robotics data collection effort across capture modalities, including motion capture, egocentric, exocentric, teleoperation, multi-sensor, and synthetic generation, so that collected data maps cleanly to model needs.\nRun experiments that validate data design, including fine-tuning and evaluating foundation models on Innodata data to demonstrate that specific data decisions produce measurable model improvement.\nDevelop evaluation and benchmarking methodology for robotics data and models, grounded in measurable criteria such as coverage, discriminative power, reliability, and actionability.\nCollaborate with the capture lab, annotation teams, and the synthetic data pipeline to turn data specifications into operational collection and labeling plans.\nRepresent Innodata's data approach in technical conversations with research and robotics organizations. You'll Thrive in

This Role If You Have:

A background in robot learning or robotics machine learning, covering areas such as imitation learning, reinforcement learning, manipulation, vision-language-action models, or world models.\nHands-on experience training and evaluating models for robotics, such as building manipulation or locomotion policies through imitation learning or reinforcement learning, with strong PyTorch fundamentals.\nFamiliarity with robotics data formats and standards, such as the LeRobot dataset format, RLDS, and Open X-Embodiment, along with common motion and sensor formats.\nA data-centric mindset, with a demonstrated understanding that data design drives model performance as much as architecture does.\nThe ability to translate fluidly between data operations and model research, and to specify what good data looks like for a given model objective.\nStrong written and verbal communication skills, since this role interfaces directly with customers and the broader robotics community, and must explain technical data and modeling decisions clearly to both expert and non-expert audiences.\nStrong Python and a rigorous, reproducible approach to experiments and documentation.\nExperience fine-tuning large vision-language or vision-language-action models with the modern toolchain, for example HuggingFace transformers and PEFT.\nExperience with robotics simulation and synthetic data tools such as NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or comparable platforms.\nExperience with teleoperation or egocentric data collection.\nExperience benchmarking or evaluating robot policies, including sim-to-real considerations.\nPublications or open-source contributions in robot learning or physical AI. The expected salary range for this position is $180,000 - $300,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide athttps://consumer.ftc.gov/articles/job-scams. If you believe you've been targeted by a recruitment scam, please report it to Innodata atverifyjoboffer@innodata.comand consider reporting it to the FTC atReportFraud.ftc.gov.","accountId","34194506","Innodata Inc.","https://diversityjobs.com/career/17623073/Robotics-Physical-Ai-Research-Engineerhybrid-New-Jersey-Ridgefield-Park","location",{"_441":442,"_443":444},"createdAt","2026-07-31T16:41:51.776525906Z","2026-07-31T13:34:26.327Z","2026-07-29T00:00:00Z","2026-08-31T00:00Z","status","active","isDiscoverable","isSearchable","isSpotlight","isDraft","careerSkills",[384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401],"requiredEducation","na",240000,"isEmailRequired","isPhoneRequired","titleSearch","Robotics Researchers","wage10thPercentileHourly",38.09230769230769,"wage30thPercentileHourly",54.60961538461538,"wage50thPercentileHourly",62.449038461538464,"payGrowthScore",100,"jobSecurityScore","compositeScore","compositeLowConfidence","county","34003","state","34","citySlug","ridgefield-park","stateSlug","nj","occupationSlug","artificial-intelligence-engineer","/technology/artificial-intelligence-engineer/remote","careerAreaSlug",[383],"eduLevelsName",[327],"lotCareerAreaName",[382],"lotOccupationName",[381],"lotSpecializedOccupation",[380],"isCanonical","canonicalSlug","canonicalSitemapPath","groupLocations",[377],{"_69":371,"_71":372,"_73":373},{"_81":82,"_83":84,"_85":375,"_87":274,"_88":376,"_90":276,"_91":48,"_92":93},{"_59":148},{"_75":139,"_77":24,"_78":374},"The posting targets mid‑to‑senior candidates with significant robotics/AI experience; no entry‑level or zero‑experience requirement is indicated.",180000,86.54,{"_378":236,"_346":351,"_379":302,"_35":303,"_47":48,"_45":310,"_63":354},"city","jobId","23112010","Artificial Intelligence Engineer","Technology","technology",{"_402":439,"_404":440,"_406":-5},{"_402":437,"_404":438,"_406":-5},{"_402":435,"_404":436,"_406":-5},{"_402":433,"_404":434,"_406":-5},{"_402":431,"_404":432,"_406":-5},{"_402":429,"_404":430,"_406":-5},{"_402":427,"_404":428,"_406":-5},{"_402":425,"_404":426,"_406":-5},{"_402":423,"_404":424,"_406":-5},{"_402":421,"_404":422,"_406":-5},{"_402":419,"_404":420,"_406":-5},{"_402":417,"_404":418,"_406":-5},{"_402":415,"_404":416,"_406":-5},{"_402":413,"_404":414,"_406":-5},{"_402":411,"_404":412,"_406":-5},{"_402":409,"_404":410,"_406":-5},{"_402":407,"_404":408,"_406":-5},{"_402":403,"_404":405,"_406":-5},"code","KS4400179KNT29JBW0PY","value","Remote Operation","proficiency","KS120BV6SR75RBKQH0G3","Artificial Intelligence","KS441S06L3NZBK0D6JM8","Verbal Communication Skills","KSWXHT30GQY9B4QSXC5O","PyTorch (Machine Learning Library)","KS124046TRJDP25WFPYC","Packaging And Labeling","KS122NR6NY1KB0TD40G4","Data Collection","ES86013436A6B64C8A45","DataOps","ESD54FC029413CFCA935","Hugging Face Transformers","KS1261Z68KSKR1X31KS3","Machine Learning","KS4LL1EBNO7YQ6BSVNIW","Reinforcement Learning","KS126PX74GKYGH60N5FL","Motion Capture","KS125LS6N7WP4S6SFTCK","Python (Programming Language)","KS4404475JBQ0GSP7CX1","Robotics","ESA3A35EC16722053FC1","AI Research","KS441FL6D8P5W4B3CLM3","Toolchain","KS120ZD60D0C13NZ0W00","Benchmarking","KSWR4RCZQM7RAQNUFC40","Data Pipelines","KS1203C6N9B52QGB4H67","Research","lat",40.8570442,"lon",-74.0215285,"preloadedState",{"_903":904,"_905":906,"_907":908,"_909":910},{"_902":24},"learnerProfile","statsigBootstrap","{\"feature_gates\":{\"3315981121\":{\"name\":\"3315981121\",\"rule_id\":\"4HHokWdZWryp2PFtEo6Ebv:0.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"419022013\":{\"name\":\"419022013\",\"rule_id\":\"6Fu8B8MX4MQjmq32PUdd7E:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3176969473\":{\"name\":\"3176969473\",\"rule_id\":\"3Dr83mVC42ZvIRZcMRhvrf\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3557635766\":{\"name\":\"3557635766\",\"rule_id\":\"66l0cE7Hp6bz3AxGzkJ52C:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1579488973\":{\"name\":\"1579488973\",\"rule_id\":\"6sBW4R11t0ICNaOywRdTNs\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3005498566\":{\"name\":\"3005498566\",\"rule_id\":\"3c8yBFeqU12a5ymtsUyebQ\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1736670698\":{\"name\":\"1736670698\",\"rule_id\":\"2Ji5m1q9wJv0gi0M9VnsCF\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1660322309\":{\"name\":\"1660322309\",\"rule_id\":\"1lxCXwbeeEdg8DJbuL2Xsw\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"612239029\":{\"name\":\"612239029\",\"rule_id\":\"69XSFMJl2CEpaAeAbRUFtB\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2191373427\":{\"name\":\"2191373427\",\"rule_id\":\"1N0Cce1uwb3QZltlw5F48y:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3925450214\":{\"name\":\"3925450214\",\"rule_id\":\"d2UuNqbLF1sea9LVvShlS:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3076862121\":{\"name\":\"3076862121\",\"rule_id\":\"2Vi9QHWxRTvJks783IVVP9:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3039458390\":{\"name\":\"3039458390\",\"rule_id\":\"5SrGI7sriLb49nW9jenfem:100.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1988463243\":{\"name\":\"1988463243\",\"rule_id\":\"5uOAYlehvTQApItuBDrlIp:100.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2679797355\":{\"name\":\"2679797355\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1551224207\":{\"name\":\"1551224207\",\"rule_id\":\"Evv169XZO4Lpdqvg5Td7P:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1051929575\":{\"name\":\"1051929575\",\"rule_id\":\"4ACRYZQATYyYM9xw8AHTGL\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3133954998\":{\"name\":\"3133954998\",\"rule_id\":\"ihLqSao0W7EJoaULoKLWB:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"15146329\":{\"name\":\"15146329\",\"rule_id\":\"6QA1Bdf3RtMstSQa9UIUvY\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"827105181\":{\"name\":\"827105181\",\"rule_id\":\"1ZOyF3jNBpxgYwnQMgtw0r:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1867875410\":{\"name\":\"1867875410\",\"rule_id\":\"1KDJU0Z08247rkTLR5qpS8:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"512472402\":{\"name\":\"512472402\",\"rule_id\":\"3hAm10p9ACCkukn5bzuqqn\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3381168580\":{\"name\":\"3381168580\",\"rule_id\":\"1s0tvbCO5ioqg4eXSJDK4e:50.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"357169355\":{\"name\":\"357169355\",\"rule_id\":\"3cbU3U7ySOFEXeDp2YVMTo\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1685639577\":{\"name\":\"1685639577\",\"rule_id\":\"7Hp9WvDxtXp0NERAI0bDjc\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3984815646\":{\"name\":\"3984815646\",\"rule_id\":\"7an3Kzm1Uz9oCin2zzMd3v:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"88647992\":{\"name\":\"88647992\",\"rule_id\":\"7Bq6Yr0VObhI533YiKSH4g:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3712733927\":{\"name\":\"3712733927\",\"rule_id\":\"1gWHYV1nPTxU1iQWBzt7sH\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"452380100\":{\"name\":\"452380100\",\"rule_id\":\"51rJLN7FbcDF8U8DnxSsz0\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1212282567\":{\"name\":\"1212282567\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2964530023\":{\"name\":\"2964530023\",\"rule_id\":\"1GmwZwWEuC5BBqZz9mqKNG:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"4139579230\":{\"name\":\"4139579230\",\"rule_id\":\"RbpkdeQQy7MYwZsfMnq5l:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"621936954\":{\"name\":\"621936954\",\"rule_id\":\"5arib1ssfs8Zqr1c2kDQTY:100.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1608580799\":{\"name\":\"1608580799\",\"rule_id\":\"30LXAjGMh8uhuKSQOjw9Zd\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1809849743\":{\"name\":\"1809849743\",\"rule_id\":\"5UE13Dq1imLgbmI6SrW4st\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2873377340\":{\"name\":\"2873377340\",\"rule_id\":\"1BSuj1ZkoN7dO8TTiB9RCf\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2939121896\":{\"name\":\"2939121896\",\"rule_id\":\"4QTA5VIW8QWhxfDAjlO4av:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2391574571\":{\"name\":\"2391574571\",\"rule_id\":\"4Oeii4dEa0qgQbnaLeWpVm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1013876983\":{\"name\":\"1013876983\",\"rule_id\":\"5UcYisherysXy4aYLnIrrR\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"4068263545\":{\"name\":\"4068263545\",\"rule_id\":\"736g712OYDBE9Wt0TiEoE6:100.00:9\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3702157961\":{\"name\":\"3702157961\",\"rule_id\":\"49VCRQzU3V4TVyAsQy0XmP:0.00:6\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1235551158\":{\"name\":\"1235551158\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1865400435\":{\"name\":\"1865400435\",\"rule_id\":\"3psH6NhgLYCK9ZjgvAjzAm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1896186400\":{\"name\":\"1896186400\",\"rule_id\":\"qt72B0rkWi96bpCMXIpcg\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"4212168725\":{\"name\":\"4212168725\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false}},\"dynamic_configs\":{\"2400943617\":{\"name\":\"2400943617\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"colors\":{\"brand\":\"#23395B\",\"white\":\"#FFFFFF\",\"offWhite\":\"#FFF4F42\",\"baseBackground\":\"#fafcff\",\"borderBackground\":\"#e0e0e0\",\"danger\":\"#d12428\",\"success\":\"#02730f\",\"warning\":\"#FCE118\",\"info\":\"#E4F8FF\",\"darkBackground\":\"#010318\",\"lightBackground\":\"#F4F4F4\",\"dark\":\"#202020\",\"altBackground\":\"#9c9c9c\",\"gray\":\"#8a8a8a\",\"gray20\":\"#005807\",\"gray40\":\"#616161\",\"gray70\":\"#797979\",\"transparent\":\"transparent\",\"opaque\":\"rgba(0,0,0,0.1)\",\"forestGreen\":\"#005807\",\"gold\":\"#F2AC1C\",\"lightBlue\":\"#d9e9fc\",\"paceBlue\":\"#CFDEE7\",\"yellow\":\"#fff703\",\"clay\":\"#967D44\"}},\"is_device_based\":false,\"passed\":false},\"4044382156\":{\"name\":\"4044382156\",\"rule_id\":\"1OE6OllbaUoNF7xuo9O3B7:100.00:2-1OE6OjG8ICfjlHZyN1Sqi5\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"storyFeed\":{\"id\":\"story_feed\",\"component\":\"story_feed\",\"order\":1,\"enabled\":false},\"tipsVideo\":{\"id\":\"tips_video\",\"component\":\"tips_video\",\"order\":2,\"enabled\":false},\"profileProgress\":{\"id\":\"profile_progress\",\"component\":\"profile_progress\",\"order\":3,\"enabled\":true},\"myCareers\":{\"id\":\"my_careers\",\"component\":\"my_careers\",\"order\":4,\"enabled\":true},\"myVibe\":{\"id\":\"my_vibe\",\"component\":\"my_vibe\",\"order\":5,\"enabled\":true},\"newsFeed\":{\"id\":\"news_feed\",\"component\":\"news_feed\",\"order\":6,\"enabled\":true}},\"is_device_based\":false,\"passed\":true},\"2374213830\":{\"name\":\"2374213830\",\"rule_id\":\"prestart\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{},\"is_device_based\":false,\"is_experiment_active\":false,\"is_user_in_experiment\":false},\"2750779937\":{\"name\":\"2750779937\",\"rule_id\":\"1cPTrX2qRpR15UBnKPMXhe:100.00:2-1cPTrVnop7HwMv3s9HRjYc\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"enabled\":true},\"is_device_based\":false,\"passed\":true},\"3559441793\":{\"name\":\"3559441793\",\"rule_id\":\"3iv7Qwu4KrgWC4rbIUZdvM-3iv7QuP2i97siETg7N3AcK\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"version\":\"1.0\",\"feature_flag\":\"profile_edit_v2\",\"treatment\":\"alpha\",\"layout\":{\"location\":{\"alpha\":{\"title\":\"Update Status\",\"screenHeader\":\"Update Status\",\"fields\":[{\"type\":\"text\",\"key\":\"location\",\"label\":\"Location\",\"placeholder\":\"Enter your location\"}]},\"beta\":{\"screenHeader\":\"Update Location\",\"fields\":[{\"type\":\"text\",\"key\":\"location\",\"label\":\"Location\",\"placeholder\":\"Enter your location\"}]}},\"bio\":{\"alpha\":{\"title\":\"Update Bio\",\"screenHeader\":\"Update Bio\",\"fields\":[{\"type\":\"text\",\"key\":\"bio\",\"label\":\"Bio\",\"placeholder\":\"Enter your bio\"}]},\"beta\":{\"screenHeader\":\"Update Bio Beta\",\"fields\":[{\"type\":\"text\",\"key\":\"bio\",\"label\":\"Bio\",\"placeholder\":\"Enter your bio\"}]}},\"interests\":{\"alpha\":{\"title\":\"Update Interests\",\"screenHeader\":\"Update Interests\",\"fields\":[{\"type\":\"text\",\"key\":\"interests\",\"label\":\"Interests\",\"placeholder\":\"Enter your interests\"}]},\"beta\":{\"screenHeader\":\"Update Interests\",\"fields\":[{\"type\":\"text\",\"key\":\"interests\",\"label\":\"Interests\",\"placeholder\":\"Enter your interests\"}]}},\"skillsLanguages\":{\"alpha\":{\"title\":\"Update Skills & Languages\",\"screenHeader\":\"Update Skills & Languages\",\"fields\":[{\"type\":\"text\",\"key\":\"skillsLanguages\",\"label\":\"Skills & Languages\",\"placeholder\":\"Enter your skills & languages\"}]},\"beta\":{\"screenHeader\":\"Update Skills & Languages\",\"fields\":[{\"type\":\"text\",\"key\":\"skillsLanguages\",\"label\":\"Skills & Languages\",\"placeholder\":\"Enter your skills & languages\"}]}},\"education\":{\"alpha\":{\"title\":\"Update Education\",\"screenHeader\":\"Update Education\",\"fields\":[{\"type\":\"text\",\"key\":\"education\",\"label\":\"Education\",\"placeholder\":\"Enter your education\"}]},\"beta\":{\"screenHeader\":\"Update Education\",\"fields\":[{\"type\":\"text\",\"key\":\"education\",\"label\":\"Education\",\"placeholder\":\"Enter your education\"}]}},\"experience\":{\"alpha\":{\"title\":\"Update Experience\",\"screenHeader\":\"Update Experience\",\"fields\":[{\"type\":\"text\",\"key\":\"experience\",\"label\":\"Experience\",\"placeholder\":\"Enter your experience\"}]},\"beta\":{\"screenHeader\":\"Update Experience\",\"fields\":[{\"type\":\"text\",\"key\":\"experience\",\"label\":\"Experience\",\"placeholder\":\"Enter your experience\"}]}},\"activities\":{\"alpha\":{\"title\":\"Add Activity\",\"screenHeader\":\"Add Activity\",\"fields\":[{\"type\":\"text\",\"key\":\"activities\",\"label\":\"Activities\",\"placeholder\":\"Enter your activities\"}]},\"beta\":{\"screenHeader\":\"Add Activity\",\"fields\":[{\"type\":\"text\",\"key\":\"activities\",\"label\":\"Activities\",\"placeholder\":\"Enter your activities\"}]}},\"accomplishments\":{\"alpha\":{\"title\":\"Update Accomplishments\",\"screenHeader\":\"Update Accomplishments\",\"fields\":[{\"type\":\"text\",\"key\":\"accomplishments\",\"label\":\"Accomplishments\",\"placeholder\":\"Enter your accomplishments\"}]}},\"beta\":{\"screenHeader\":\"Update Accomplishments\",\"fields\":[{\"type\":\"text\",\"key\":\"accomplishments\",\"label\":\"Accomplishments\",\"placeholder\":\"Enter your accomplishments\"}]}}},\"is_device_based\":false,\"passed\":true},\"2431912394\":{\"name\":\"2431912394\",\"rule_id\":\"prestart\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{},\"is_device_based\":false,\"is_experiment_active\":false,\"is_user_in_experiment\":false},\"558616907\":{\"name\":\"558616907\",\"rule_id\":\"7bUbyVUILCm7wqWqpyi5do-7bUbyUfGjkcDd1ouOqmrUm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"explore_opportunities\":{\"order\":1,\"component\":\"explore_opportunities\",\"sub_components\":[{\"component\":\"jobs\",\"configs\":{\"id\":1,\"title\":\"Jobs & Internships\",\"listType\":\"jobs\"}},{\"component\":\"careers\",\"configs\":{\"id\":2,\"title\":\"Career Navigator\",\"listType\":\"careers\"}},{\"component\":\"courses\",\"configs\":{\"id\":3,\"title\":\"Courses\",\"listType\":\"courses\"}},{\"component\":\"scholarships\",\"configs\":{\"id\":4,\"title\":\"Scholarships\",\"listType\":\"scholarships\"}}]},\"explore_search\":{\"order\":2,\"component\":\"explore_search\"},\"explore_list\":{\"order\":3,\"component\":\"explore_list\"}},\"is_device_based\":false,\"passed\":true},\"3393096890\":{\"name\":\"3393096890\",\"rule_id\":\"ZZuKDQhs76uNu7onAosZR:100.00:2-ZZuKCbeZOX0u4zsMssPGP\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"min_version\":\"1.1.6\"},\"is_device_based\":false,\"passed\":true},\"2811707873\":{\"name\":\"2811707873\",\"rule_id\":\"1qB3cKolYTho7KCZitHlbv:100.00:5-1qAYSILd5gXFsDKMwDP8LX\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"version\":\"2.0\",\"layout\":{\"id\":\"profile_layout_v2\",\"feature_flag\":\"profile_layout_v2\",\"section_groups\":[{\"title\":\"Personal\",\"sections\":[{\"id\":\"bio_card\",\"type\":\"bio_card\",\"order\":1,\"component\":\"BioCardV2\",\"config\":{\"title\":\"Bio\",\"screenName\":\"profile__bio\",\"fields\":[{\"id\":\"bio_text\",\"type\":\"text\",\"value\":\"\",\"textType\":\"regular16\",\"color\":\"secondary\"}]}},{\"id\":\"interests_card\",\"type\":\"interests_card\",\"order\":2,\"component\":\"InterestsCardV2\",\"config\":{\"title\":\"Interests\",\"screenName\":\"profile__interests\",\"fields\":[{\"id\":\"industry_interests\",\"type\":\"badge_group\",\"title\":\"Industry Interests\",\"textType\":\"header3\",\"badgeColor\":\"purple-200\",\"items\":[]},{\"id\":\"career_interests\",\"type\":\"badge_group\",\"title\":\"Career Interests\",\"badgeColor\":\"coral-200\",\"items\":[]}]}},{\"id\":\"skills_languages_card\",\"type\":\"skills_languages_card\",\"order\":3,\"component\":\"SkillsLanguagesCardV2\",\"config\":{\"title\":\"Skills & Languages\",\"screenName\":\"profile__skills_languages\",\"fields\":[{\"id\":\"skills\",\"type\":\"badge_group\",\"title\":\"Skills\",\"badgeColor\":\"green-300\",\"items\":[]},{\"id\":\"languages\",\"type\":\"badge_group\",\"title\":\"Languages\",\"badgeColor\":\"blue-300\",\"items\":[]}]}},{\"id\":\"education_card\",\"type\":\"education_card\",\"order\":4,\"component\":\"EducationCardV2\",\"config\":{\"title\":\"Education\",\"screenName\":\"profile__education\",\"fields\":[{\"id\":\"education_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"experience_card\",\"type\":\"experience_card\",\"order\":5,\"component\":\"ExperienceCardV2\",\"config\":{\"title\":\"Experience\",\"screenName\":\"profile__experience\",\"fields\":[{\"id\":\"experience_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"activities_card\",\"type\":\"activities_card\",\"order\":6,\"component\":\"ActivitiesCardV2\",\"config\":{\"title\":\"Activities\",\"screenName\":\"profile__activities\",\"fields\":[{\"id\":\"activities_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"accomplishments_card\",\"type\":\"accomplishments_card\",\"order\":7,\"component\":\"AccomplishmentsCardV2\",\"config\":{\"title\":\"Accomplishments\",\"screenName\":\"profile__accomplishments\",\"fields\":[{\"id\":\"accomplishments_items\",\"type\":\"list_item\",\"items\":[]}]}}]}]},\"themes\":{\"default\":{\"spacing\":{\"card_gap\":16,\"section_padding\":20},\"colors\":{\"background\":\"#FFFFFF\",\"card_background\":\"#FFFFFF\",\"primary_text\":\"#000000\",\"secondary_text\":\"#666666\"}}}},\"is_device_based\":false,\"passed\":true},\"151910433\":{\"name\":\"151910433\",\"rule_id\":\"3Rd1Ri5XBQIglfMEwjIkG7:100.00:3-3Rd1RgqV9yyM1QeIVbMHn5\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"createPost\":{\"id\":\"create_post\",\"component\":\"create_post\",\"order\":1},\"feedSelect\":{\"id\":\"feed_select\",\"component\":\"feed_select\",\"order\":2},\"newsFeed\":{\"id\":\"news_feed\",\"component\":\"news_feed\",\"order\":3}},\"is_device_based\":false,\"passed\":true},\"4194336348\":{\"name\":\"4194336348\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"treatment\":\"beta\"},\"is_device_based\":false,\"passed\":false}},\"layer_configs\":{},\"time\":1786564332991,\"has_updates\":true,\"hash_used\":\"djb2\",\"user\":{\"userID\":\"1db449b0-14ee-4253-9d18-0f3d384e0430\",\"customIDs\":{\"stableID\":\"1db449b0-14ee-4253-9d18-0f3d384e0430\"},\"custom\":{\"talloUid\":\"1db449b0-14ee-4253-9d18-0f3d384e0430\"},\"statsigEnvironment\":{\"tier\":\"production\"}},\"sdkInfo\":{\"sdkType\":\"statsig-server-core-node\",\"sdkVersion\":\"0.12.1\",\"sessionId\":\"d7b50aac-507c-43b8-882c-c1808c465a04\"},\"sdkParams\":{},\"evaluated_keys\":{\"userID\":\"1db449b0-14ee-4253-9d18-0f3d384e0430\",\"stableID\":\"1db449b0-14ee-4253-9d18-0f3d384e0430\"},\"param_stores\":{},\"can_record_session\":true,\"session_recording_rate\":1.0,\"recording_blocked\":false}","statsigUser",{"_487":890,"_891":-7,"_892":893,"_894":895,"_896":897},"statsigSSR",{"_455":456,"_457":458},"gates",{"_845":24,"_846":48,"_847":48,"_848":48,"_849":48,"_850":24,"_851":24,"_852":48,"_853":24,"_854":48,"_855":24,"_856":24,"_857":24,"_858":48,"_859":48,"_860":24,"_861":24,"_862":24,"_863":24,"_864":24,"_865":24,"_866":48,"_867":24,"_868":48,"_869":48,"_870":24,"_871":24,"_872":24,"_873":48,"_874":24,"_875":24,"_876":48,"_877":48,"_878":48,"_879":24,"_880":24,"_881":24,"_882":48,"_883":24,"_884":24,"_885":48,"_886":48,"_887":48,"_888":24,"_889":24},"configs",{"_459":460,"_461":462,"_463":464,"_465":466,"_467":468,"_469":470,"_471":472,"_473":474,"_475":476,"_477":478,"_479":480},"151910433",{"_481":459,"_482":835,"_484":836,"_486":487,"_404":837,"_489":24,"_490":48},"558616907",{"_481":461,"_482":807,"_484":808,"_486":487,"_404":809,"_489":24,"_490":48},"2374213830",{"_481":463,"_482":750,"_484":805,"_486":487,"_404":806,"_489":24,"_753":24,"_754":24},"2400943617",{"_481":465,"_482":483,"_484":755,"_486":487,"_404":756,"_489":24,"_490":24},"2431912394",{"_481":467,"_482":750,"_484":751,"_486":487,"_404":752,"_489":24,"_753":24,"_754":24},"2750779937",{"_481":469,"_482":747,"_484":748,"_486":487,"_404":749,"_489":24,"_490":48},"2811707873",{"_481":471,"_482":630,"_484":631,"_486":487,"_404":632,"_489":24,"_490":48},"3393096890",{"_481":473,"_482":625,"_484":626,"_486":487,"_404":627,"_489":24,"_490":48},"3559441793",{"_481":475,"_482":520,"_484":521,"_486":487,"_404":522,"_489":24,"_490":48},"4044382156",{"_481":477,"_482":493,"_484":494,"_486":487,"_404":495,"_489":24,"_490":48},"4194336348",{"_481":479,"_482":483,"_484":485,"_486":487,"_404":488,"_489":24,"_490":24},"name","rule_id","default","secondary_exposures",[],"id_type","userID",{"_491":492},"is_device_based","passed","treatment","beta","1OE6OllbaUoNF7xuo9O3B7:100.00:2-1OE6OjG8ICfjlHZyN1Sqi5",[],{"_496":497,"_498":499,"_500":501,"_502":503,"_504":505,"_506":507},"storyFeed",{"_33":519,"_509":519,"_510":66,"_512":24},"tipsVideo",{"_33":517,"_509":517,"_510":518,"_512":24},"profileProgress",{"_33":515,"_509":515,"_510":516,"_512":48},"myCareers",{"_33":514,"_509":514,"_510":76,"_512":48},"myVibe",{"_33":513,"_509":513,"_510":139,"_512":48},"newsFeed",{"_33":508,"_509":508,"_510":511,"_512":48},"news_feed","component","order",6,"enabled","my_vibe","my_careers","profile_progress",3,"tips_video",2,"story_feed","3iv7Qwu4KrgWC4rbIUZdvM-3iv7QuP2i97siETg7N3AcK",[],{"_523":524,"_525":526,"_491":527,"_528":529},"version","1.0","feature_flag","profile_edit_v2","alpha","layout",{"_311":530,"_531":532,"_533":534,"_535":536,"_537":538,"_539":540,"_541":542,"_543":544,"_492":545},{"_527":615,"_492":616},"bio",{"_527":605,"_492":606},"interests",{"_527":596,"_492":597},"skillsLanguages",{"_527":587,"_492":588},"education",{"_527":578,"_492":579},"experience",{"_527":569,"_492":570},"activities",{"_527":560,"_492":561},"accomplishments",{"_527":557},{"_546":547,"_548":549},"screenHeader","Update Accomplishments","fields",[550],{"_39":551,"_552":543,"_553":554,"_555":556},"text","key","label","Accomplishments","placeholder","Enter your accomplishments",{"_37":547,"_546":547,"_548":558},[559],{"_39":551,"_552":543,"_553":554,"_555":556},{"_37":562,"_546":562,"_548":567},{"_546":562,"_548":563},"Add Activity",[564],{"_39":551,"_552":541,"_553":565,"_555":566},"Activities","Enter your activities",[568],{"_39":551,"_552":541,"_553":565,"_555":566},{"_37":571,"_546":571,"_548":576},{"_546":571,"_548":572},"Update Experience",[573],{"_39":551,"_552":539,"_553":574,"_555":575},"Experience","Enter your experience",[577],{"_39":551,"_552":539,"_553":574,"_555":575},{"_37":580,"_546":580,"_548":585},{"_546":580,"_548":581},"Update Education",[582],{"_39":551,"_552":537,"_553":583,"_555":584},"Education","Enter your education",[586],{"_39":551,"_552":537,"_553":583,"_555":584},{"_37":589,"_546":589,"_548":594},{"_546":589,"_548":590},"Update Skills & Languages",[591],{"_39":551,"_552":535,"_553":592,"_555":593},"Skills & Languages","Enter your skills & languages",[595],{"_39":551,"_552":535,"_553":592,"_555":593},{"_37":598,"_546":598,"_548":603},{"_546":598,"_548":599},"Update Interests",[600],{"_39":551,"_552":533,"_553":601,"_555":602},"Interests","Enter your interests",[604],{"_39":551,"_552":533,"_553":601,"_555":602},{"_37":612,"_546":612,"_548":613},{"_546":607,"_548":608},"Update Bio Beta",[609],{"_39":551,"_552":531,"_553":610,"_555":611},"Bio","Enter your bio","Update Bio",[614],{"_39":551,"_552":531,"_553":610,"_555":611},{"_37":622,"_546":622,"_548":623},{"_546":617,"_548":618},"Update Location",[619],{"_39":551,"_552":311,"_553":620,"_555":621},"Location","Enter your location","Update Status",[624],{"_39":551,"_552":311,"_553":620,"_555":621},"ZZuKDQhs76uNu7onAosZR:100.00:2-ZZuKCbeZOX0u4zsMssPGP",[],{"_628":629},"min_version","1.1.6","1qB3cKolYTho7KCZitHlbv:100.00:5-1qAYSILd5gXFsDKMwDP8LX",[],{"_523":633,"_528":634,"_635":636},"2.0",{"_33":652,"_525":652,"_653":654},"themes",{"_483":637},{"_638":639,"_640":641},"spacing",{"_649":650,"_651":248},"colors",{"_642":643,"_644":643,"_645":646,"_647":648},"background","#FFFFFF","card_background","primary_text","#000000","secondary_text","#666666","card_gap",16,"section_padding","profile_layout_v2","section_groups",[655],{"_37":656,"_657":658},"Personal","sections",[659,660,661,662,663,664,665],{"_33":737,"_39":737,"_510":66,"_509":738,"_669":739},{"_33":720,"_39":720,"_510":518,"_509":721,"_669":722},{"_33":703,"_39":703,"_510":516,"_509":704,"_669":705},{"_33":695,"_39":695,"_510":76,"_509":696,"_669":697},{"_33":687,"_39":687,"_510":139,"_509":688,"_669":689},{"_33":679,"_39":679,"_510":511,"_509":680,"_669":681},{"_33":666,"_39":666,"_510":667,"_509":668,"_669":670},"accomplishments_card",7,"AccomplishmentsCardV2","config",{"_37":554,"_671":672,"_548":673},"screenName","profile__accomplishments",[674],{"_33":675,"_39":676,"_677":678},"accomplishments_items","list_item","items",[],"activities_card","ActivitiesCardV2",{"_37":565,"_671":682,"_548":683},"profile__activities",[684],{"_33":685,"_39":676,"_677":686},"activities_items",[],"experience_card","ExperienceCardV2",{"_37":574,"_671":690,"_548":691},"profile__experience",[692],{"_33":693,"_39":676,"_677":694},"experience_items",[],"education_card","EducationCardV2",{"_37":583,"_671":698,"_548":699},"profile__education",[700],{"_33":701,"_39":676,"_677":702},"education_items",[],"skills_languages_card","SkillsLanguagesCardV2",{"_37":592,"_671":706,"_548":707},"profile__skills_languages",[708,709],{"_33":716,"_39":711,"_37":717,"_713":718,"_677":719},{"_33":710,"_39":711,"_37":712,"_713":714,"_677":715},"languages","badge_group","Languages","badgeColor","blue-300",[],"skills","Skills","green-300",[],"interests_card","InterestsCardV2",{"_37":601,"_671":723,"_548":724},"profile__interests",[725,726],{"_33":731,"_39":711,"_37":732,"_733":734,"_713":735,"_677":736},{"_33":727,"_39":711,"_37":728,"_713":729,"_677":730},"career_interests","Career Interests","coral-200",[],"industry_interests","Industry Interests","textType","header3","purple-200",[],"bio_card","BioCardV2",{"_37":610,"_671":740,"_548":741},"profile__bio",[742],{"_33":743,"_39":551,"_404":300,"_733":744,"_745":746},"bio_text","regular16","color","secondary","1cPTrX2qRpR15UBnKPMXhe:100.00:2-1cPTrVnop7HwMv3s9HRjYc",[],{"_512":48},"prestart",[],{},"is_experiment_active","is_user_in_experiment",[],{"_640":757},{"_758":759,"_760":643,"_761":762,"_763":764,"_765":766,"_767":768,"_769":770,"_771":772,"_773":774,"_775":776,"_777":778,"_779":780,"_781":782,"_783":784,"_785":786,"_787":788,"_789":790,"_791":791,"_792":793,"_794":786,"_795":796,"_797":798,"_799":800,"_801":802,"_803":804},"brand","#23395B","white","offWhite","#FFF4F42","baseBackground","#fafcff","borderBackground","#e0e0e0","danger","#d12428","success","#02730f","warning","#FCE118","info","#E4F8FF","darkBackground","#010318","lightBackground","#F4F4F4","dark","#202020","altBackground","#9c9c9c","gray","#8a8a8a","gray20","#005807","gray40","#616161","gray70","#797979","transparent","opaque","rgba(0,0,0,0.1)","forestGreen","gold","#F2AC1C","lightBlue","#d9e9fc","paceBlue","#CFDEE7","yellow","#fff703","clay","#967D44",[],{},"7bUbyVUILCm7wqWqpyi5do-7bUbyUfGjkcDd1ouOqmrUm",[],{"_810":811,"_812":813,"_814":815},"explore_opportunities",{"_510":66,"_509":810,"_816":817},"explore_search",{"_510":518,"_509":812},"explore_list",{"_510":516,"_509":814},"sub_components",[818,819,820,821],{"_509":832,"_457":833},{"_509":829,"_457":830},{"_509":826,"_457":827},{"_509":822,"_457":823},"scholarships",{"_33":76,"_37":824,"_825":822},"Scholarships","listType","courses",{"_33":516,"_37":828,"_825":826},"Courses","careers",{"_33":518,"_37":831,"_825":829},"Career Navigator","jobs",{"_33":66,"_37":834,"_825":832},"Jobs & Internships","3Rd1Ri5XBQIglfMEwjIkG7:100.00:3-3Rd1RgqV9yyM1QeIVbMHn5",[],{"_838":839,"_840":841,"_506":842},"createPost",{"_33":844,"_509":844,"_510":66},"feedSelect",{"_33":843,"_509":843,"_510":518},{"_33":508,"_509":508,"_510":516},"feed_select","create_post","15146329","88647992","357169355","419022013","452380100","512472402","612239029","621936954","827105181","1013876983","1051929575","1212282567","1235551158","1551224207","1579488973","1608580799","1660322309","1685639577","1736670698","1809849743","1865400435","1867875410","1896186400","1988463243","2191373427","2391574571","2679797355","2873377340","2939121896","2964530023","3005498566","3039458390","3076862121","3133954998","3176969473","3315981121","3381168580","3557635766","3702157961","3712733927","3925450214","3984815646","4068263545","4139579230","4212168725","1db449b0-14ee-4253-9d18-0f3d384e0430","email","custom",{"_901":890},"customIDs",{"_900":890},"statsigEnvironment",{"_898":899},"tier","production","stableID","talloUid","isAuthenticated","userAndSession",{"_14":999,"_448":-5,"_1000":24,"_1001":1002,"_1003":1004},"courseSearch",{"_826":948,"_949":211,"_950":951,"_952":211,"_953":-5,"_954":-5,"_955":-5,"_918":24,"_956":24,"_13":-5,"_957":958,"_959":-5,"_960":961,"_962":963,"_964":965},"careerNavigatorSlice",{"_311":933,"_934":300,"_935":936,"_937":938,"_939":48,"_940":48,"_941":-5,"_942":943},"caapCareerSearch",{"_502":24,"_911":300,"_912":913,"_914":915,"_916":917,"_918":24,"_919":-5,"_920":24,"_921":922},"searchValue","searchResult",[],"comparisonData",[],"searchFilters",{"_923":924,"_925":300,"_926":300,"_927":928,"_929":930,"_931":259,"_932":211},"isLoading","comparisonError","shouldOpenTray","traitSpecificCareers",{},"selectedHub",[],"selectedEarning","selectedEducation","sortByField","name.keyword","sortOrder","asc","pageSize","from",{"_33":944,"_481":945,"_39":946,"_947":300},"locationString","defaultLocation",{"_33":944,"_481":945,"_39":946,"_947":300},"scholarshipLocation",{"_33":944,"_481":945,"_39":946,"_947":300},"loadingLocation","loadingCaapAssessmentResults","caapAssessmentResult","industryPreference",[],"0","United States (Default)","nation","highlight",[],"totalCount","filters",{"_966":300,"_967":24,"_968":24,"_969":24,"_970":24,"_971":24,"_972":24,"_973":24,"_974":24,"_975":976,"_977":978,"_979":980,"_710":981,"_982":983,"_984":985,"_986":987,"_988":-5,"_989":24,"_990":991,"_992":211,"_931":248,"_993":994,"_995":996},"activeFiltersCount","filterCounts","appliedFilters","sortInfo","isLoadingMore","favoriteCourseIds",[],"lastSearchTimestamp","prefetchedPages",[],"prefetchingPages",[],"prefetchedCourses",{},"searchQuery","withCertificate","isFree","withFreeCertificate","isUniversity","showSavedOnly","isBeginner","isIntermediate","isAdvanced","topLevelSubjects",[],"institutions",[],"subjects",[],[],"providers",[],"durationBuckets",[],"duration",{"_997":-5,"_998":-5},"language","hasSubtitles","subtitleLanguages",[],"page","sortColumn","created","sortBy","desc","min","max",{"_1010":24,"_902":24},"isOnboardingComplete","onboardingResume",{"_1008":24,"_1009":-5},"emailUpdateModal",{"_1005":24,"_1006":300,"_1007":300},"open","newEmail","password","checked","resumeUrl","oktaChecked"]

Find Jobs

Robotics / Physical AI Research Engineer