ML Platform - Machine Learning Engineer

TuSimple, Inc.
Dallas, TX Full Time
POSTED ON 11/22/2021 CLOSED ON 4/20/2022

What are the responsibilities and job description for the ML Platform - Machine Learning Engineer position at TuSimple, Inc.?


This opportunity is located in San Diego, CA.  Remote friendly during COVID-19 

You can apply to the job with this email address: algo__data_science_engineer_4d21f8772us@ivy.greenhouse.io 


 

Opportunity Overview 

  • Build systems that evaluate the performance of every part of the self-driving stack

  • Help set the direction for the entire company in a data-driven way

Responsibilities

  • Work with massive datasets on data association, clustering, segmentation, filtering, machine learning, feature engineering, and inference

  • Establish effective benchmarking pipelines to evaluate self-driving system in complex and nuanced situations

  • Develop and deploy novel approaches to solve open-ended problems

  • Closely collaborate with other teams to conduct system design, integration and testing

Requirements

  • M.S./B.S. degree in Computer Science, Mathematics, Statistics or other related fields

  • Solid knowledge in one or more of the following fields: machine learning, data mining, anomaly detection, clustering, causal inference, feature engineering

  • Strong coding skills in Python

Preferred 

  • Publications in related conferences and/or journals

Perks

  • Relocation Assistance, Stock Options

  • Full Kitchen with unlimited snacks and fruits, free breakfast lunch, and dinner from an array of local restaurants. 

  • Shape the landscape of autonomous driving

  • Gym membership, Learning/Education Budget 

  • Bonus,

  • Work Visa Sponsorship available.

TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

 


This opportunity is located in San Diego, CA.  Remote friendly during COVID-19 

You can apply to the job with this email address: algo__data_science_engineer_4d21f8772us@ivy.greenhouse.io 

 


Brown University, California Institute of Technology, Carnegie Mellon University, Columbia University, Cornell University, Dartmouth College, Duke University, Georgia Institute of Technology, Harvard University, Harvey Mudd College, Massachusetts Institute of Technology, North Carolina State University, Northwestern University, Princeton University, Purdue University, Rice University, Rose - Hulman Institute of Technology, Stanford University, Tufts University, University of California — Berkeley, University of California — Los Angeles, University of Illinois--Urbana-Champaign, University of Maryland--College Park, University of Massachusetts--Amherst, University of Michigan--Ann Arbor, University of Notre Dame, University of Pennsylvania, University of Southern California, University of Texas Austin, University of Washington, University of Wisconsin--Madison, Williams College, Worcester Polytechnic Institute (WPI), Yale University, MIT, CMU, Waymo, Uber, Facebook, Uber, Amazon, Cruise, Tesla, Argo AI, Baidu, DIDI, Zoox, Nutonomy, Nuro, Aptiv, Pony.Ai, Kodiak, Toyota, Nissan, GM, Ford, VW, Autonomous Car, Autonomous Driving, Robotics, Artificial Intelligence, Machine Learning, Deep learning, Perception, Prediction, Planning, Control, Anduril Industries, Sift, Nauto, Tempus,  Salesforce,  Automation Anywhere, SenSat, Phrasee, Defined Crowd, Pymetrics,Siemens, Socure, AEye, Rev.com, Suki.ai, Verkada, DataVisor, People.ai, AlphaSense, Icertis, Casetext, Blue River Tech, Nvidia, Bright Machines, Orbital Insight, Brighterion, H2O, Intel, Clarifa, X.ai, Zebra Medical Vision, Iris AI, Freenome, Neurala, Akamai, Zoho, ServiceNow, SalesForce, Oracle, Tableau,Splunk,Cvent, Veeam,Atlassian, DocuSign, Dropbox, Veeva Systems, Proofpoint, Cornerstone, Qualtrics. New Relic, Okta, Intralinks, MuleSoft, Freshworks, Slack, Twilio, Anaplan, Stripe,  Workfront, Smartsheet, Zuora, OutSystems, Coupa, Cylance, Elastic, Zoom, SailPoint, BlackLine, iCIMS, Digitate, Qualys, Kareo, DataStax, DiscoverOrg, Siteimprove, Druva, Centrify, Looker, SimilarWeb, Odoo, Kyriba, Sumo Logic, Sisense, PagerDuty, DigitalOcean, Liquid Web, Zaloni, Databricks, ServiceTitan, Fastly, SnapLogic, Mendix, Couchbase, Egnyte, Seismic, Bill.com, Justworks, Collibra, ActiveCampaign, Schoology, SalesLoft, Cylynt, 
Machine Learning Engineer - TPG
Micron Technology -
Richardson, TX
Machine Learning Engineer
Synechron -
Plano, TX
Machine Learning Engineer - REMOTE
NTT DATA North America -
Plano, TX

For Employer
Looking for Real-time Job Posting Salary Data?
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

Sign up to receive alerts about other jobs with skills like those required for the ML Platform - Machine Learning Engineer.

Click the checkbox next to the jobs that you are interested in.

  • Big Data Skill

    • Income Estimation: $89,884 - $112,883
    • Income Estimation: $116,473 - $144,260
  • Big Data Analytics Skill

    • Income Estimation: $89,884 - $112,883
    • Income Estimation: $116,473 - $144,260
This job has expired.
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Not the job you're looking for? Here are some other ML Platform - Machine Learning Engineer jobs in the Dallas, TX area that may be a better fit.

Senior Machine Learning Engineer

GEICO, Greenville, TX