{"id":163795,"url":"https://alion.io/job/nxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst","title":"Internship – Product Engineering (Data Science: Machine Learning Analyst)","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":175,"ghost_share":0,"stale_share":0.623,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Nijmegen, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-06-21T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-25T07:03:20Z","board_verified":true,"closed_at":null,"days_open":126,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":126},"description":"The future starts here! Ready to join NXP?\nBecome part ofadynamicProduct Engineeringteam that isworking on products drivingOne of the mega trends in the evolution towards highly automated vehicles. NXP offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Product line In-Vehicle Networking is with CAN, LIN,Flexrayand Ethernet solutions, enabling communications withinarchitecturesdesigned for secure and hyper-connected autonomous vehicles.\nYour Team\nTheProduct Engineering-\nYou will be part of our product development team,Product Line, In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorouslyto deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost.\nAs a Product Engineering intern, you areina central position (a spiderinthe web) in theNew IC Product development. Youget towork with allthedisciplines needed to design an IC and several external teams to prepare it for mass production.Thereisa lot of room fornew ideasandinnovationsand you will be supported to have a continuous focus on development, coaching and creating a supportive environmentfromyour team.\nYour Responsibilities\nDevelop and evaluate an anomaly detection approach for machine learning models todeterminewhether incoming data and model predictions are reliable before further processing.\n\nAnalyzelarge-scale datasets toidentifyout-of-distributionbehavior, data shifts, and inconsistencies between inputs and model outputs.\n\nDesign and calibrate an anomaly scoring mechanism and decision thresholds, balancing detection sensitivity with practical review capacity in a production environment.\n\nValidate the solution using historical data, including simulation or injection of anomalous scenarios whererequired.\n\nCollaborate with cross-functional teams (e.g., engineering and data science) to define relevant anomaly types, interpret modelbehavior, and translate insights into practical decision-making workflows.\n\nDocument themethodology, validation results, and recommended thresholds in a clear and structured way suitable for internship andthesisdeliverables.\n\nWhat’sin it for you\nA great opportunityto develop your skills (technical, soft skills, communication, etc.)\n\nGaining experience in a multinational and diverse environment\n\nPossibility to become part of NXP’s Young Professional Talent Pool\n\nWorking on real assignments which contribute to NXP’s objectives\n\nYourProfile\nMaster’s studentwith major inComputer Science, Machine Learning, Data Science, Statistics,or a closely related quantitative field.Minor oradditionalcourse work in Applied Mathematics is a plus.\n\nStrong programming skills in Python and experience working with data analysis or machine learning workflows.\n\nSolid foundation in statistics, anomaly detection, out-of-distribution detection, or distribution-shift analysis.\n\nComfortable translating analytical results into practical engineering decisions and collaborating with cross-functional technical stakeholders.\n\nInterest in semiconductor test data, production analytics, and deploying trustworthy ML solutions in an industrial setting.\n\nAvailable for an internship that can be combined with a thesis project.\n\nDuration\nThis is a full-time/part timeinternship (20/40 hoursper week) with a duration of 6 months or longer. The assignmentmay besuitable as a thesis/graduation project.\nPlease note thatin order tobe considered for an internship/working student assignment, you need to be registered as a student during the entire period.\nCreating Secure Connections and Infrastructure for a Smarter World\nNXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.\nWe are in the business ofbetter. Notjust bettertechnologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.\nIf you are as excited about this opportunity as we are, we kindly invite you to apply. Aftera screeningbased on yourprofileyou can be expected to have a video interview with our Talent Acquisition Consultant followed by business.\nWhatCanYouExpect?\nDevelopment opportunities:We believe that a keycomponentto growing our business is to develop our people. To enable you to grow your career at NXP, we provide you with a mix of learning through on-the-job experiences, learning fromindustriesbests, and learning through education to help you develop your core and professional skills.\nOur offices:The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.\nHiring process:Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on yourCVyou will havean initialvideo conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare.\nAnd more:Life at NXP is more thanworkalone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day orparticipatingin several volunteering activities.\nWhat’sNext?\nIfyou’reexcited about this opportunity, wekindly inviteyou to apply! If you have any questions, we are happy to answer them.\nMore information about NXP in the Netherlands...\n#LI-f5d0","description_format":"text","description_chars":6118,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Science & Engineering","Electrical & Electronic Engineering","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-06-21T00:00:00Z"},{"event":"close","at":"2026-09-02T10:35:01Z"},{"event":"reopen","at":"2026-10-06T15:50:40Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.26,"p_room":0.28,"age_days":126,"expected_fill_days":43,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/nxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst","json_url":"https://alion.io/job/nxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst.json","meta":{"generated_at":"2026-10-25T08:44:40Z","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":12391,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":17368},"rest":"https://alion.io/mcp/rest/get_company?id=17368"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst"},{"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%2Fnxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst"},{"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%2Fnxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst"},{"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/nxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnxp-semiconductors-internship-product-engineering-data-science-machine-learning-analyst"}]}