{"id":135891,"url":"https://alion.io/job/chalk-forward-deployed-engineer-2","title":"Forward Deployed Engineer","company":{"id":178332,"name":"Chalk","domain":"chalk.ai","url":"https://alion.io/company/chalk-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":63,"open_postings":15,"ghost_share":0.533,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["JP"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":118000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rust","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-09-26T20:48:41Z","employer_posted_date":"2025-09-26","last_verified_at":"2026-10-12T11:31:38Z","board_verified":true,"closed_at":null,"days_open":380,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":380},"description":"About Chalk\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.\nAbout the role\nYou are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. 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