Senior Machine Learning Engineer

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We want someone who is motivated to find large-scale solutions with us. We like to spend our energy developing automation wherever possible, with a particular focus on making business processes more streamlined and efficient. We work with big data on small teams, and every contribution is critical to the success of the business.
Technologies we use at Mulberry

  • Amazon Web Services (AWS), SQL, NoSQL (KV and columnar)
  • Python, flask, sqlalchemy
  • Tensorflow, PyTorch, DVC, MLFlow, Spark
  • Airflow, Docker, Kubernetes


What you will do

  • Optimize processes to help move, transform and store data in large quantities and at scale
  • Use cutting-edge MLOps and engineering techniques to deploy and maintain models
  • Collaborate w/ Product, Engineering and Data Science teams to develop internal tools for accelerating ML processes
  • Take ownership of our ML models and data pipelines, from collecting the training data to quality control + ongoing evaluation
  • Improve data science and machine learning practices and documentation
  • Be an active contributor and technical leader to ML practitioners at Mulberry
  • Help develop and execute the team's long-term strategy and roadmap
  • Identify platformization opportunities and communicate requirements to Product/Engineering


Who you are

  • You are passionate about machine learning and related technologies
  • You have built ML-based products to deliver measurable impact on customers
  • You possess a solid understanding of math, computer science and ML fundamentals
  • You have deep knowledge of modern ML/DL frameworks and technologies
  • You have deep expertise in Python (or other data science and ML-adjacent general-purpose programming languages)
  • You are familiar with agile software processes and care about system reliability
  • You have experience w/ MLOps and data warehousing tech
  • You have experience working with large, complex and diverse data sets from a variety of sources
  • You have 5+ years relevant professional experience
  • You have experience with cloud computing platforms such as AWS, GCP, Azure
  • You understand how requirements evolve and have made improvements to products that are already productionized
  • You have experience with working in a CI/CD engineering environment
  • You keep up with state of the art research by reading papers, attending conferences, and participating in research communities


A plus if you have

  • An MS or PhD in CS, OR, EE, Physics or related quantitative field
  • Worked with productionization of Machine Learning research, and ML project lifecycle management
  • Experience with natural language processing and/or computer vision
  • Genuine interest of AI and machine learning methods and algorithms
  • Publications in application of ML/DL techniques in the fields of NLP or CV
  • Strong understanding of concurrent and parallel programming
  • Deep experience with relational, NoSQL and graph databases


Benefits & Perks

  • Competitive salary
  • Equity in a rapidly growing Series B funded startup
  • Medical, vision, and dental benefits
  • 401k with company match
  • Unlimited PTO (minimum 15 days off required)
  • Paid sabbatical after 3 years of tenure
  • 12 weeks paid parental leave
  • Strong, vibrant, and fun culture, with lots of virtual outings!
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Location

The Mulberry office sits in Union Square with plenty of bars and restaurants. Plus, the office is easy to get to with various train and bus stops being close by.

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