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The Learning Experience #398
San Francisco, CA, United States
At OSARO we develop solutions to endow industrial robots with the level of autonomy needed to perform an unprecedented variety of complex pick and place tasks leveraging sophisticated robot control and neural network-based perception algorithms. You are a good fit if you are passionate about what you build, you feel a strong sense of ownership, and
Job Source: The Learning Experience #398PicnicHealth
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at PicnicHealth (United States) | BEAMSTART Jobs Machine Learning Engineer PicnicHealth United States Date Posted 17 May, 2023 Work Location San Francisco, United States Salary Offered $150 — $185 yearly Job Type Full Time Experience Required 6+ years Remote Work Yes Stock Options No Vacancies 1 available
Job Source: PicnicHealthTavus
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at Tavus (United States) | BEAMSTART Jobs Machine Learning Engineer Tavus United States Date Posted 11 May, 2023 Work Location San Francisco, United States Salary Offered $125000 — $170000 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1 available Backed
Job Source: TavusSwish Analytics
San Francisco, CA, United States
Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passi
Job Source: Swish AnalyticsCascading AI
San Francisco, CA, United States
Casca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding. What you'll do: Contribute rapidly to our core software platform that automates the lendi
Job Source: Cascading AIContinua
San Francisco, CA, United States
As a Machine Learning Software Engineer, you will be responsible for training, fine-tuning, and evaluating ML models that power our consumer-focused AI applications. This will require building on-device and server-side models that are both accurate and efficient, capable of scaling up as our user base grows. This role requires a strong understandin
Job Source: ContinuaAcceler8 Talent
San Francisco, CA, United States
A highly competitive salary + equity + benefits The opportunity to work on a complex and groundbreaking vision Medical, Vision, and Dental coverage 401K Plan Benefits A highly competitive salary + equity + benefits The opportunity to work on a complex and groundbreaking vision Medical, Vision, and Dental coverage 401K Plan Machine Learning Engin
Job Source: Acceler8 TalentSyntegra
San Francisco, CA, United States
San Francisco, CA based or remote (US only) Job Overview We are looking for a senior MLE to help develop our state-of-the-art generative AI synthetic healthcare data engine. As a MLE you will be responsible for building, training, testing, and debugging advanced Deep Learning Models. The ideal candidate will be an expert in deep learning, generati
Job Source: SyntegraSan Francisco, CA, United States
About Us:
Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process.
About the company:
Company Size - 25 People
Approx Funding - $30M
Company Stage - Series A
Backed by : Databricks Ventures, Bain Capital Ventures, Menlo Ventures
Industry - AI, ML, Databases, DCAI
F ounding year - 2021
Tech Stack/Technologies: Python, PyTorch, Hugging Face, and LangChain for AI and ML innovation. AWS, Docker, and Git support deployment and collaboration. Jenkins, Sagemaker, MLflow, and Ray enhance continuous integration and scalable computing. Tools for ELT and data cleansing are also integral to the workflow.
We're looking for a Machine Learning Engineer to:
Develop cutting-edge models for a leading AI platform alongside MIT PhDs, who are veterans of the top tech companies in the world.
Pioneer novel software systems for the rapidly growing field of data-centric AI. The platform has several tools that automatically find & fix issues in datasets.
Use the latest tooling and ML models at a dynamic startup to create the best cloud-based solutions for our current and future customers.
Collaborate on interdisciplinary projects, combining ML expertise with software engineering to create innovative solutions for complex data challenges.
Contribute to open-source projects and publish research in top ML conferences as you push the boundaries of DCAI.
Engage with enterprise customers to understand their data challenges and provide tailored AI solutions.
What you'll need:
A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university.
4+ years of professional software engineering in a fast-paced, product-focused environment developing and deploying ML models.
Deep understanding of open-source libraries, frameworks, and systems combined with experience in data pre-processing, feature engineering, model selection, and evaluation.
Active GitHub contributions, with projects over 1000 stars or as a main contributor to a notable repo.
Expertise with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Previous early-stage employee or founder experience at a venture-backed tech company is strongly preferred.
Desire and ability to learn quickly, take professional initiative, and work in a fast-paced environment.
What you'll get:
Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.
Comprehensive benefits include p remium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.
Unique travel allowance.
Unprecedented career progression opportunities.
The opportunity to work with brilliant founders, solving some of the most complex data problems in the world.
Compensation:
$140,000 - $200,000 a year
Compensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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