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Careers

Careers

JR Machine Learning Engineer

We are looking for someone with a mix of data science/research skills and engineering skills with some industry experience in implementing algorithms. 

Job Functions

  • Gather and analyze data, identify key prediction/classification problems, devise solutions and build prototypes
  • Formulate machine learning approaches while paying attention to business metrics, design features from available data; train, evaluate, and deploy models
  • Research and implement methodologies to measure the impact of the technology
  • Research, design, and trial statistical and machine learning models to support Fusion’s optimization products and teams
  • Assist product and engineering teams in deploying models to production through technical specifications, collaboration, and ad-hoc training in the mathematical concepts used
  • Train data analysts and operational teams in using these models
  • Investigate data and performance anomalies
  • Assist sales and marketing teams in major sales efforts

Minimum Qualifications

  • M.S. or Ph. D in Statistics or Machine learning or equivalent
  • 2-3 years of relevant experience
  • Complete autonomy in Python Scikit or R programming (e.g., engineer features, train models, perform ad-hoc simulations, report through charts and summary tables)
  • Fluent use of SQL databases & data files
  • Knowledge of Bayesian Statistics (e.g., Posterior updates & Conjugate distributions, Bayesian Networks, Markov Chain Monte Carlo)
  • Knowledge of common machine learning algorithms (e.g., Logistic Regression, Random Forests, Gradient Boosting, Matrix Factorization, Unsupervised Learning)
  • Knowledge of Multi-Armed Bandits algorithms (e.g., UCB, Thompson Sampling)

Background Desired 

  • Experience with advertising or conversion optimization (e.g., AdWords, Google Shopping, Real-Time Bidding, Conversion funnels, Email marketing)
  • Experience with parallel frameworks (e.g., Hadoop, Spark)
  • Experience designing architectures and technical specifications with IT teams
  • Excellent problem-solving skills & structured approach to dive into huge data sets
  • Outstanding autonomy, professionalism & drive
  • Strong scientific rigors (e.g., verify mathematical assumptions, design unbiased experiments, pick strict performance metrics, and challenge results)
  • Self-motivated, able to work independently with limited guidance, result-oriented, strong problem-solving skill, and business understanding

No agencies. No recruiters.

Headquarters: Richmond VA

Job Site:  Richmond VA


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