Job Title: ML Systems Engineer
Duration: 12 Months
Location: Redmond WA (Predominantly onsite with occasional Work From Home flexibility. Must be available for 8–10 AM meetings to collaborate with UK-based team members.)
 
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 Client’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.

 
Top 3 must-have HARD skills:

• We're 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

 
How many years of experience should they have?

• 4-5 years of industry experience writing Python / ML code

 
Requirements:

• BS degree in Computer Science or related field, or equivalent work experience.
• 4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
• 2+ 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

 
What is the Story Behind the Need?

• Backfilling a role for an ML Systems engineer. Focus on infra and ML framework / tooling

 
Why Join this client?

• 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.
• You proactively help others, sharing knowledge and expertise to overcome challenges, whilst owning and contributing directly to technical solutions yourself.
• You 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, we’re looking for motivated individuals who can not only complete tasks independently but raise concerns proactively and provide input into overall team goals.

 
Onsite?

• Yes - Work will be predominantly onsite, though occasional WFH days are fine. We are a distributed team who works closely with UK teammates, so candidate must be comfortable meeting morning hour collaboration times (8am - 10am)

 
Interview Process:

• 1st round: 15-30 min initial screen: Situational/behavioral questions

General high-level coding questions

• 2nd round: 45-60 minutes. Technical coding interview.

Live technical coding questions will be asked. Code is written via Coderpad, a collaborative text editor
  

 


At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $80.00/hr.