| More Information: | Seasalt.ai is hiring a machine learning engineer for speech recognition tasks in
its Conversational AI product line. We care about your attitude, learning
ability, and work ethics more than your skills and experience. A good machine
learning engineer makes incremental improvements, but a great machine
learning engineer finds ways to make breakthroughs.
The job is highly technical. A typical day looks like this:
1. 0.5 hour, Team Communication: start your day with brief updates to your
teammates. Understand what they expect from you during the day, and convey what
you can deliver.
2. 0.5 hour, Planning: plan your day carefully based on the team
communication. Organizing your work and planning ahead helps you be more
efficient and productive.
3. 1 hour, Diagnostics: analyze your results and identify the cause if
results are not up to your expectations.
4. 1 hour, Research and Discussion: research solutions for the identified
causes. Discuss with your teammates when it is necessary.
5. 4 hours, Coding and Experimenting: be productive, efficient and
effective.
6. 1 hour, Code Review and Documentation: close our day by reviewing and
documenting code written by you and your teammates. Never check in code without
proper peer review and documentation.
The following personal profile fits our requirement:
1. curious, creative, and imaginative: you are always eager to find out how
things work, how to improve things, how to fuse ideas to develop your own unique
thought, and how to create something that never existed before (and justify
it).
2. communicative, transparent, responsible, and honest: we ask you to be
truthful to your code and work even more than to yourself. Be communicative
about pitfalls, be transparent about your thoughts, be responsible about your
release, and be honest with limitations.
3. quick to learn, digest, adapt, and not ashamed to ask: everyday is a
learning day and every task is a learning opportunity. You grow yourself out of
the old you, and
meanwhile, grow your product and organization from good to great, by learning
and acknowledging you need to learn.
The following describes your role:
1. Fantastic opportunity to join the core team working on speech recognition at
Seasalt.ai.
2. Building frameworks to harvest speech data, a key step in speech recognition
system
building.
3. Building large scale speech recognition systems.
4. Running experiments and tuning parameters to improve system recognition
results.
The following skills fits our requirement:
1. Proficient in C++ and Python and Bash scripts.
2. Excellent algorithms skills and ability to write efficient code.
3. Good understanding of machine learning algorithms.
4. Strong problem solving and communication skills.
5. MS/Ph.D. in Computer Science or equivalent.
The following skills will be a plus:
1. Experience with Deep Learning / Neural Network frameworks such as
Tensorflow,
PyTorch, Caffe, Torch, MxNet, etc.
2. Experience automatic speech recognition systems.
3. Experience working with speaker recognition and keyword spotting, including
wake-up
phrase detection.
4. Experience in computer vision and pattern recognition.
You’ll be working with co-founders of Seasalt.ai, who previously built
KITT.AI, a CBInsights AI 100 company and invested by the Allen Institute
for Artificial Intelligence, Amazon Alexa and well known local investors. Our
office is close to the Overlake Business Center in Redmond, south of Highway
520. |