{"id":167053,"url":"https://alion.io/job/gotion-high-tech-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":59054,"name":"Gotion High-tech","domain":"gotion.com","url":"https://alion.io/company/gotion-high-tech","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":60,"open_postings":128,"ghost_share":0.672,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fremont, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":150000,"max_usd":329000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-07-23T23:55:31Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-17T04:50:24Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":85},"description":"Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route.\nGotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization.\nAbout The Team\n The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.\nRole Summary\nWe are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.\nYou will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.\nEssential Duties and Responsibilities:\nDesign and implement novel machine learning and deep learning models tailored to internal research needs\nPrototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures\nConduct rigorous experimentation, benchmarking, and ablation studies\nCollaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling\nContribute to internal documentation and present research outcomes to technical and leadership teams\nTrack and integrate advances from the ML research community to ensure technical excellence\nRequired Qualifications:\nPh.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field\nDemonstrated expertise in model development, optimization, and algorithmic innovation\nProficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.\nSolid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics\nExperience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable\nA publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus\nExcellent communication, collaboration, and problem-solving skills in interdisciplinary environments\nThe US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. \nGotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all.\nWe provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law.\nAt Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.","description_format":"text","description_chars":4758,"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":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Storage"],"lifecycle":[{"event":"open","at":"2026-07-23T23:55:31Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7 · green card filings: 3","filings_12m":7,"filings_prev_12m":16,"green_card_filings_12m":3,"median_offered_wage_usd":118000,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.296,"p_room":0.36,"age_days":85,"expected_fill_days":47,"reasons":["conf:0","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/gotion-high-tech-machine-learning-engineer","json_url":"https://alion.io/job/gotion-high-tech-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T07:35:00Z","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":10250,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":59054},"rest":"https://alion.io/mcp/rest/get_company?id=59054"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgotion-high-tech-machine-learning-engineer"},{"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%2Fgotion-high-tech-machine-learning-engineer"},{"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%2Fgotion-high-tech-machine-learning-engineer"},{"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/gotion-high-tech-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgotion-high-tech-machine-learning-engineer"}]}