{"id":121727,"url":"https://alion.io/job/ses-senior-battery-aiml-engineer","title":"Senior Battery AI/ML Engineer","company":{"id":31799,"name":"SES AI","domain":"ses.ai","url":"https://alion.io/company/ses","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":42,"open_postings":35,"ghost_share":0.971,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2023-01-16T19:12:40Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-10-21T04:33:27Z","board_verified":true,"closed_at":null,"days_open":1373,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1372},"description":"Senior Battery AI/ML Engineer\nResponsibilities\nBuild a data-driven model of battery based on electrochemical knowledge and test data\n\nDevelop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation\n\nProvide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization\n\nWork with a team to develop, deploy, test and maintain battery algorithms\n\nCooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc\n\nResponsible for the overall framework design of battery algorithm deployment\n\nQualifications\nMaster degree or above, machine learning, AI, and big data related education background\n\nMore than five years of battery related work experience, familiar with battery pack design and data\n\nFamiliar with various battery related models/algorithms\n\nExperience in battery management system (BMS) algorithm development\n\nPractical experience based on AI, big data battery algorithm, and cloud 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