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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
Vision Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of new Generative AI based APIs, new risk vectors like prompt injection, prompt extraction, PII exfiltration, factual inconsistency and hallucinations pose significant threat to organizations. Our flagship products are built to be integrated with existing AI systems and protect against real-time API based 3rd-party AI access to eliminate these risks. Robust Intelligence is a leading provider of end-to-end AI security solutions for enterprises. Our cutting-edge technology automates the testing and validation of AI models, safeguarding organizations from security, ethical, and operational risks. Backed by prominent investors including Sequoia Capital and Tiger Global, we are proud to work with an expanding list of customers, including JPMorgan Chase, Expedia, ADP, IBM, Deloitte, and key players in the public sector such as the U.S. Intelligence Community and the Department of Defense. Advancing the state of AI is a collaborative process that requires unusually varied skills and perspectives. To that end, we have built a multidisciplinary team with increasingly diverse backgrounds. Together, we're building the future of secure, trustworthy AI. About The Role Robust Intelligence is the leader in AI Security. There is no dearth of challenges to solve, the AI landscape is constantly evolving and the threat landscape is changing rapidly, this provides you with a fertile opportunity to build impactful solutions that make AI safe and secure for everyone. As an ML Engineer build ML models and algorithmic approaches to detect and protect against AI security risks. You will develop deep domain knowledge in AI and security, you will touch all aspects of building detection techniques and deploying them to production environments. You are at home working with a cross-functional team of researchers, engineers, and security experts to design, develop and deploy innovative AI solutions.
As a MLE you will Track and identify AI security risks, experiment with latest ML techniques to build SoTA protections
Be hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productizing protection mechanisms.
Work with Senior Engineers to understand with latest GenAI research and applications that lead to novel security risk
Participate in red-teaming assessments to help uncover threats, to gather context and collect data used to solidify our products.
You'll have the opportunity to contribute to our overall machine learning culture as a member of the team.
What we look for: A BS or MS in Computer Science/Engineering.
A strong background in AI, machine learning, and deep learning.
An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.
Strong programming skills in generic programming languages such as Python or Golang.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Technologies we use: Python and specifically numpy, pandas
ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etc
GRPC for integrating with our platform
Bonus: Golang
$150,000 - $175,000 a year
Robust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym. Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We offer the opportunity to significantly contribute to shaping AI’s future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer: - Competitive salary and company ownership through equity - Market-leading health, dental, and vision insurance for employees and dependents - Flexible Time Off Policy and Paid Parental/Family Leave - Education reimbursement program for Individual Learning - 401(k) Retirement plan - Commuter benefits - Immigration sponsorship - H1B and Green Card - Company lunches, dinners, and kitchens stocked with snacks and drinks - On-site gym and wellness program
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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