Machine Learning Engineer - Deep Learning

Machine Learning Engineer - Deep Learning
San Francisco Bay Area
$180,000 - $220,000 + Competitive Benefits

The Company

Harnham is working with a late-stage venture that is paving the way for machine learning. This organization is looking to disrupt how supply chain analytics are performed and I can almost guarantee you know who they are. If you want to take your expertise to the big (data) table and join this company's advanced technology group - Let's talk.

You will be at the center of the action - working closely with executive leaders and management across different functions of the organization! With your remarkable experience implementing a technical and business acumen, you will have an opportunity to make major decisions in the infrastructure and direction of the team.

This organization will be working on revolutionary algorithms and deep learning is their bread and butter. You will be improving the way people interact online and in-stores. This organization is globally recognized and you will be part of that magic! They are not letting good talent fly by - and are investing all efforts to give the best experience to consumers and employees, alike.

Did I mention you get to work with machine learning legends?

The Role

You will:

• Build, implement, and optimize machine learning and deep learning models for a better consumer experience
• Communicate with stakeholders and leaders from various verticals to define business goals and deliver business insight with deployable machine learning algorithms and influence decisions
• Demonstrate a high level of ownership of tasks at hand, with the liberty of taking an approach and making it yours
• Collaborate with world-class data scientists and engineers to make an impact in the world!

Skills and Expertise

You have:

• Expertise in Python to productionize machine learning developments
• HUGE PLUS! Industry experience deploying models based on Deep Learning, Reinforcement Learning, and/or Bayesian statistics frameworks
• Strong capacity to work with Big Data using Hive, Hadoop, Cassandra, Kafka, and/or Spark, as well as hands-on experience working with GCP or AWS
• Extensive knowledge of Machine Learning and Deep Learning model production for content analysis and ops research problems
• Exceptional communication skills and a passion for data!

Benefits

$180,000- $220,000 + Competitive Benefits

• Bonus and Equity Options
• Great 401K package
• Green Card Sponsorship
• Shuttle System and Commuter Benefits
• Generous Maternity/Paternity Leave

*Open to Visa Sponsorship/Transfer!*

How to Apply

Please register your interest using the Apply button on this page.

For more information this role or other Data Science and Machine Learning roles, please contact Karla Guerra at Harnham.

KEYWORDS
Python, R, Machine Learning, Natural Language Processing, NLP, Recommendation Engine, Recommender System, Spark, AWS, GCP, Amazon, Google, SQL, Hadoop, Hive, Bigquery, HDFS, Flink, Beam, Kafka, MySQL, NoSQL, Cassandra, HBase, Bigtable, Shell, Perl, Bash, Ruby, Java, Scala, Travis CI, Jenkins, Deep Learning, Bayesian Statistics, Text Analytics, Thompson Sampling, Probability, Multi-Class, Decision Tree, Vector Machine, Reinforcement Learning, Reward System, Modelling, Algorithm, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Machine Learning, Machine Learning Engineer, Big Data, Scikit, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, CNN, RNN, NLTK, LSTM