Machine Learning Engineer

2 weeks ago

Milpitas, United States Tiposi Full time

Located in the heart of Silicon Valley, Tiposi is at the forefront of medical device innovation, specializing in low-frequency, low-power radar sensor technology. Our mission is to enhance the quality of life, comfort, and safety through non-intrusive sensors that ensure complete privacy while capturing vital data. We aim to streamline medical experiences, making them more efficient and less burdensome for patients and providers alike.


Machine Learning Engineer

Role Overview:

We are seeking a Machine Learning Engineer who is ready to dive into challenges and make a significant impact. This position is crucial for advancing our groundbreaking technology and contributing significantly to the medical device industry. As a machine learning engineer at Tiposi, you will...

  • Develop and implement AI algorithms to enhance sensor accuracy and functionality.
  • Collaborate with cross-functional teams to integrate machine learning into our products.
  • Stay abreast of industry trends and advancements in AI/ML to ensure Tiposi remains at the cutting edge.
  • Embrace a variety of tasks that may evolve over time, aligned with personal skills and company needs.


Must Have:

  • Ph.D. in relevant field or 5+ years of experience in machine learning.
  • Proficient understanding of Deep Learning algorithms.
  • Expertise in machine learning libraries and frameworks, including PyTorch, TensorFlow, NumPy, and scikit-learn.
  • Experience with algorithm implementation on a GPU or an Edge device.
  • Proven ability in solving inverse problems using advanced signal processing and machine learning techniques, especially inverse scattering problems.


Nice to Have:

  • Extensive experience with signal and image processing algorithms, particularly for microwave detection systems.
  • Knowledge of compressed sensing theory.
  • Familiarity with time-domain radar-based signal processing methods.
  • Experience working in a multi-disciplinary team within a fast-paced prototyping and product development environment.
  • Familiarity with medical device regulatory standards and a clear understanding of the application of AI technologies within FDA-regulated environments.
  • 5+ years of relevant research experience or a Ph.D. in a field related to microwave detection.
  • Ability to develop data analysis algorithms and software tools to interpret spectral data acquired through dual-comb spectroscopy.
  • Experience in calibrating dual-comb spectroscopy systems.
  • Strong knowledge of electromagnetics and signal processing methods.


Why Join Tiposi?

At our startup, we’re not just building a company; we’re shaping a vision. If you’re passionate about making an impact, believe in our mission, and want to be part of something transformative, we’d love to have you on board.


Compensation

Our compensation package for full-time roles include direct equity grants, medical, dental, and vision insurance, and, for all applicable roles, bonus plans.


Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the candidate’s experience and expertise, and other factors.


Perks and Benefits

  • Dinner Delivered: Enjoy a delicious dinner on us No need to worry about cooking after a long day.
  • Free Snacks: Our well-stocked snack area keeps you fueled and ready to tackle challenges.
  • Nap Room: Need a quick recharge? Our cozy nap room is the perfect spot to catch some Z’s and return to work refreshed.
  • Flexible Working Hours: Living in the Silicon Valley, we understand the traffic woes. Our later working hours allow you to avoid rush-hour congestion and maintain a better work-life balance.


Equal Opportunity Employer

Tiposi is committed to being an equal opportunity employer. We do not discriminate against any employee or applicant on the basis of age, race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, or veteran status, or any other legally protected status. We believe in promoting equal opportunities for all and embrace diversity as a vital component of our organization's success.

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