- Description:* The job market is roaring for skilled engineering talent, especially so for Machine Learning / Data Engineers. At Actalent we represent engineers into opportunities with some of the best companies throughout the SF Bay Area in a variety of industries. We work hard to ensure you are properly compensated and find yourself in a work environment that is the right fit for you. We're looking for experienced Machine Learning / Data Engineers looking to take control of their career and head into the next level!
- Key Responsibilities:*
- Build end-to-end machine learning solutions to solve complex customer problems.
- Collaborate with applied researchers to ensure they are well-calibrated on the constraints of the production system, ensuring their research proceeds along practical pathways as they explore novel techniques to tackle previously unsolved problems.
- Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
- Build the systems to help applied researchers scale their models in a production environment.
- Design experiments, including for offline prototypes in a statistically sound way that will provide actionable data and enable us to make reliable decisions as we iterate on a project.
- Promote excellence and best practices across the machine learning team in regards to research, implementation, tooling, and system design.
- Work cross-functionally across multiple partner teams to get new features shipped across our many interfaces.
- Skills:* Master data, Data analysis, computer architecture, algorithm, data structure, python, R, c/c++, semiconductor, shark, Libsvm, mlpack, api, Theano, tensorflow
- Top Skills Details:* Master data, Data analysis, computer architecture, algorithm, data structure, python, R, c/c++
- Additional Skills & Qualifications:*
- BS, MS or PhD Degree in Engineering (or) Science (or) Mathematics (or) Information Systems (or) Computer Science (or) Mathematics (or) Science
- Understands traditional machine learning algorithms and how to use them effectively in practice.
- Is familiar with deep learning and its applications in industry.
- Has a strong working knowledge of statistics as it relates to sampling methodologies and designing experiments
- Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
- Is aware of NLP techniques to effectively work with very high-dimensional, sparse data.
- Has enough experience with academic research to be comfortable reading and implementing papers to reproduce their results.
- Experience Level:* Expert Level
About Actalent:
Actalent connects passion with purpose. Our scalable talent solutions and services capabilities drive value and results and provide the expertise to help our customers achieve more. Every day, our experts around the globe are making an impact. We’re supporting critical initiatives in engineering and sciences that advance how companies serve the world. Actalent promotes consultant care and engagement through experiences that enable continuous development. Our people are the difference. Actalent is an operating company of Allegis Group, the global leader in talent solutions. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.