{"id":2855346,"url":"https://alion.io/job/bosch-ai-research-intern-wireless-foundation-models","title":"AI Research Intern: Wireless Foundation Models","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":1045,"ghost_share":0,"stale_share":0.993,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":372},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Contrastive Learning","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-19T13:39:35Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T12:38:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We Are Bosch.\nAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.\nLet’s grow together, enjoy more, and inspire each other. Work #LikeABosch\nReinvent yourself: At Bosch, you will evolve.\nDiscover new directions: At Bosch, you will find your place.\nBalance your life: At Bosch, your job matches your lifestyle.\nCelebrate success: At Bosch, we celebrate you.\nBe yourself: At Bosch, we value values. \n Shape tomorrow: At Bosch, you change lives.\nDo you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.\n At Bosch Research in Pittsburgh, we are looking for an enthusiastic research intern to advance the state of the art in foundation models for wireless sensing and perception. The intern will explore how large-scale self-supervised and multimodal learning can enable generalizable representations of human activities and environments from radio-frequency (RF) signals and wireless channel measurements.\nThe research will focus on developing foundation models that learn reusable representations from diverse wireless sensing data and transfer across sensing tasks, environments, devices, and users. Potential applications include human presence detection, activity recognition, motion understanding, and fine-grained behavioral and contextual understanding.\nThe intern will work closely with Bosch researchers on the following responsibilities:\nDevelop novel foundation-model architectures and representation-learning methods for RF signals and wireless channel measurements.\n\nInvestigate self-supervised, contrastive, generative, and multimodal learning approaches for large-scale wireless sensing data.\n\nStudy model generalization and adaptation across environments, users, devices, and downstream perception tasks.\n\nDevelop and evaluate methods for fine-tuning, few-shot learning, or zero-shot transfer to downstream wireless perception applications.\n\nConduct comprehensive experimental evaluations and comparisons with state-of-the-art approaches.\n\nDevelop a proof-of-concept demonstration of the proposed technology.\n\nSummarize research findings and contribute to a high-quality research publication and/or patent application.\n\nRequired Qualifications:\nCurrently enrolled in a PhD program in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field.\n\nStrong background in machine learning, deep learning, or representation learning.\n\nExperience working with wireless sensing or RF signal data, including channel measurements or related time-series signals.\n\nStrong understanding of modern deep-learning architectures and training techniques.\n\n2+ years of programming experience in Python and strong proficiency with PyTorch.\n\nAbility to independently design, implement, and evaluate research ideas.\n\nExcellent written and verbal communication skills.\n\n Experience with self-supervised learning, foundation models, transformers, contrastive learning, or generative models.\n\nExperience with wireless sensing for applications such as presence detection, activity recognition, localization, or smart-home sensing.\n\nExperience collecting and processing wireless channel measurements, complex I/Q samples, signal-strength data, or related RF sensing data.\n\nExperience with RF data-acquisition pipelines, wireless signal preprocessing, or time-series feature extraction.\n\nExperience with multimodal learning involving wireless signals, language, vision, audio, or other sensor modalities.\n\nExperience with large-scale model training, distributed training, or GPU-based experimentation.\n\nStrong publication record in leading machine learning, sensing, mobile computing, or robotics venues such as ICLR, NeurIPS, ICML, SenSys, IPSN, MobiSys, MobiCom, IMWUT/UbiComp, or IROS.\n\n All your information will be kept confidential according to EEO guidelines.\nIndefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.","description_format":"text","description_chars":4379,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Industrial Automation","Motors, Drives & Motion Control","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-10-19T14:34:41Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/bosch-ai-research-intern-wireless-foundation-models","json_url":"https://alion.io/job/bosch-ai-research-intern-wireless-foundation-models.json","meta":{"generated_at":"2026-10-23T15:52:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23856,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":132},"rest":"https://alion.io/mcp/rest/get_company?id=132"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbosch-ai-research-intern-wireless-foundation-models"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbosch-ai-research-intern-wireless-foundation-models"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbosch-ai-research-intern-wireless-foundation-models"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bosch-ai-research-intern-wireless-foundation-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbosch-ai-research-intern-wireless-foundation-models"}]}