Job Description
On-site in Redmond Job Description:
Responsibilities:
- Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
- Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage Facebook’s powerful infrastructure (through e.g. source control, distributed compute clusters, data storage).
- Coordinate with a large set of internal infrastructure and tool teams across the lab and across client to evaluate and integrate with existing systems.
- Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued
- Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.
Requirements:
- BS degree in Computer Science or related field, or equivalent work experience.
- 4 plus years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
- 2 plus years industry experience working with large, complex data sets for machine learning, including capture and annotation.
- Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.
- Experience working with high performance or distributed compute solutions.
- Some deployment and continuous integration experience.
Preferred Qualifications:
- Familiarity with Machine Learning for Audio, multimodal or DSP purposes
- Experience working in the AR/VR application space.
- Experience in Linux or Windows shell scripting.
- Ability to gather requirements and work closely with researchers to develop novel solutions
- History of writing code to support the execution of research initiatives
Top 3 must-have HARD skills:
- Client is looking for Python and infrastructure focused software engineers
- PyTorch or similar AI/ML engines
- Distributed infrastructure
Good to have skills:
- Working with complex, real-world multimodal data
- Audio
- AR/VR
Note:
- How many years of experience should they have?
- 4 to 5 years of industry experience writing Python / ML code
What is the Story Behind the Need?
- Backfilling a role for an ML Systems engineer. Focus on infra and ML framework / tooling
Is there anything client can share with Candidates to compel them to choose client over competitors?
- Ability to work closely with world class researchers in the audio space
- Influence on the next generation of client AR/VR devices
- Amazing onsite facilities, including daily free meals (breakfast, lunch, dinner)
Describe A Typical Day in the Role:
- A typical day in this role involves being a team player, fostering collaboration with colleagues to achieve common goals.
- Candidates proactively help others, sharing knowledge and expertise to overcome challenges, whilst owning and contributing directly to technical solutions yourself.
- Candidates also actively participate in team tech meetings, contributing ideas and insights to drive innovation and improvement.
How will performance be measured?
- While work is collaborative in nature, client is looking for motivated individuals who can not only complete tasks independently but raise concerns proactively and provide input into overall team goals.
Pay Range: $100+/ hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Job Tags
Full time, Work experience placement, Flexible hours,