{"id":1253772,"url":"https://alion.io/job/quickchat-ai-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":37415,"name":"Quickchat AI","domain":"quickchat.ai","url":"https://alion.io/company/quickchat-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":48000,"max":96000,"currency":"USD","period":"year","gross":null,"usd_annual":96000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"React Native","optional":false},{"name":"Django","optional":true},{"name":"Nginx","optional":true},{"name":"React.js","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:42:59Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T18:42:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join our Technology team to build consumer products and business solutions on top of state of the art language models like OpenAI's GPT. From day one, you will take ownership and contribute to key parts of our technology.\nWe live and breathe Machine Learning. We love Python, Linux and Git. We tolerate JavaScript, CSS, even React Native at times.\nWhat we look for:\n2+ years in Software Engineer or ML Engineer roles\nDeep understanding of Machine Learning theory and practice\nTechnical fluency in English\nGreat communication skills\nBonus points for:\nKaggle competitions (walk me through your solution!)\nInteresting side projects (we will ask a lot of questions about them!)\nDeeply technical interests other than software / Machine Learning\nCurrently live coding projects (we will want to have a look at them before your interview)\nTeaching us something we didn't know before about our product or industry\nEver having written AWK scripts\nExperience with Django, single-page applications, Nginx, cloud computing, API design\nExperience deploying apps to the App Store or Google Play\nDeep understanding of and experience working with GPT-3 and other language models\nExperience training ML models for time-series data\nExperience training classification models for extremely imbalanced classes\nReading machine learning papers in your spare time (share your favourites!)\nTelling us about something that's wrong with our product along with a concrete and detailed plan on how you would try to improve it\nDeep first-principles understanding of some computing process, e.g. what exactly happens when you type a URL and press enter, exactly how, for example, blockchain / a neural network / a chess-playing algorithm / Google's Ad bidding / Shazam's song search works (we will definitely want you to tell us all about it!)\nA story about your ML model that worked great on historical data but failed in production\nA story about how you spent hours labelling data by hand for your ML model\nA story about how you spent 3 days debugging something and finally found a solution\nA story about how you had no idea how your users were using your product until you started measuring it\nExpertise in middle-out compression\nWe will offer you:\nGreat ambitions: You will join us on our huge mission to bring AI Workers to every company in the world. We are backed by Y Combinator, the #1 startup accelerator.\n\nCompetitive Compensation: We offer a salary that reflects your skills and experience, ensuring you feel valued and rewarded.\n\nHuge Impact: As a part of our small, dynamic team, your contributions will significantly shape our products and growth.\n\nExtraordinary Team: Join a group of ambitious, smart, and supportive colleagues who are passionate about what they do and always strive for excellence.\n\nFlexible Working Hours: You have the flexibility to structure your workday to fit your personal schedule.\n\nModern Office Spaces: Work from our vibrant WeWork space at Hotel Europejski in Warsaw.\n\nHardware: You will receive a brand new Apple MacBook and an additional fund to customize your workspace. You can also benefit from discounts on additional Apple hardware from our partner.\n\nCompany Events: Regular team-building activities and social events to foster a strong team culture.\n\nEnglish Lessons: You will have the option to practice English free of charge as part of your personal growth.","description_format":"text","description_chars":3380,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Apple Macbook","Company events","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-25T18:42:59Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:8","win:early","comp:junior"],"computed_at":"2026-09-26T03:10:02Z"},"pay":{"stated_usd_annual":96000,"is_top_pay":false},"html_url":"https://alion.io/job/quickchat-ai-machine-learning-engineer","json_url":"https://alion.io/job/quickchat-ai-machine-learning-engineer.json","meta":{"generated_at":"2026-09-26T03:10:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3360,"day_limit":5000,"remaining_today":1640,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}