MLE Referrals

Hey all, I'm a Senior MLE at a startup looking for a change! 5 YOE in ML, handled model training -> deployment & monitoring. Most use cases I have worked on have been computer vision, recommendations, or standard ML on tabular data. Have worked with a variety of MLOps/pipeline orchestration tools (MLFlow, Airflow, Kubeflow etc.). I have also built production APIs for models, as well as full on backends for applications unrelated to ML (that startup lyfe). Already started the process with Google and Amazon. Was about to schedule my loop round with Meta but they canceled due to hiring freezes :(. ~250 LC (mostly Mediums, some hards) Really open to opportunities with any company looking for MLEs (or SWE in ML team). If your company is still hiring, I would really appreciate a referral! Thanks! YOE: 5 TC: 160k + 🥜 equity Ungodly wall of hashtags for visibility (I have no shame): #cruise #netflix #argoai #aurora #bytedance#intel #databricks #doordash #roblox #zillow #pintrest #tinder #block#cashapp #rivian #microsoft #slack #paypal #facebook #twitter #dropbox #amazon #atlassian #google #instacart #square #tesla #datadog #snowflake #rubrik #bloomberg #stripe #snap #lyft #uber #spotify #apple #robinhood #yelp #vmware #adobe #capitalone #cisco #coinbase #dell #docusign #doordash #ebay #expedia #glassdoor #ibm #intuit #nvidia #pinterest #salesforce #sap #mongodb #servicenow #airbnb #avanade #splunk #figma #twilio #yext #qualtrics #walmart #discovery #linkedin #compass #cvs #aetna #mckinsey #wayfair #walmart #americanairlines #americanfamilyinsurance #bankofamerica #jpmorgan #jpmorganchase #target #tigeranalytics #fractalanalytics #hartfordhealthcare #visa #discoverfinancialservices #data #dataanalytics #datascience #dataanalyst #dataengineer #businessintelligence #faang