Senior Machine Learning Engineer

Found in: beBee jobs US - 2 weeks ago


San Francisco, California, United States Cresta Full time

Who are we?

Are you interested in defining how Generative AI will shape the future of work?

We are a Silicon Valley Series C startup, spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more. Cresta launched in 2020. Since then, we've grown revenue and our team by 300% and became officially a Unicorn. We've assembled a world-class team of AI and ML experts, go-to-market leaders, top-tier investors, and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, Tiger Global, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Holiday Inn, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

We are growing our machine learning team in North America. Join us to develop great products in an exceptional strong team.

Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.

As an ML software engineer, you will join the a team full of talented experts in frontend, backend, and ML/NLP. We have an in-house product for call analysis, building, evaluating, and deploying conversational AI models, and have labelers and analysts available. We work on a variety of ML problems, including but not limited to text generation, classification, summarization, etc. Our team leverages the latest in cutting edge LLM and GPT technologies to enable a truly market differentiated product suite.

You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue individual projects.

What you will do:

  • Collaborate with product managers, data scientists, and other cross-functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives.
  • Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT) and best practices.
  • Work with our production teams to build and deploy scalable, high-performing, and reliable ML/NLP pipelines and systems that operate 24x7.
  • Actively contribute to the continuous improvement of our ML productivity, by identifying and leveraging opportunities for automation, data improvements, code optimization, and process enhancements.
  • Help shape the direction of machine learning and artificial intelligence at Cresta.

What we look for:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Minimum of 5 years of experience in software development, with a strong focus on machine learning and natural language processing.
  • Proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines.
  • Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
  • Solid understanding of software development principles, data structures, algorithms, and design patterns.
  • Experience with LLMs.
  • Experience with model optimization.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Canada, and offer competitive local pay and benefits. Your recruiter can provide further details.

If you want to make an impact with an amazing product, want to improve your tech skills by working with other exceptional engineers, and like to be part of an amazing international team, then you should join us. We pay an attractive salary and with the Cresta stock options, you can benefit from the company's growth.


  • Senior Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Syntegra Full time

    Syntegra has developed a state-of-the-art method to generate patient-level synthetic dataset for healthcare applications. By utilizing transformer models (like GPT-2 and GPT-3), our synthetic data engine enables us to create realistic equivalents of any healthcare dataset that accurately preserves the analytic characteristics of the original, while...

  • Senior Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Compose AI Full time

    At Compose AI, we help people type less and live more. Isn't it crazy that people are still typing every word of every letter on 99% of the websites and programs they use every day? That's why we built the best-in-class autocomplete, but we didn't stop there—Compose AI also lets you rewrite your sentences in different tones or styles and can even generate...

  • Senior Machine Learning Software Engineer

    Found in: beBee jobs US - 1 week ago


    San Francisco, California, United States Dropbox Full time

    Role DescriptionDropbox is looking for a Machine Learning Engineer to join our User Understanding team. User Understanding team's mission is "to personalize users' journey through Dropbox products and features". The team develops models, systems and features that leverage the massive scale of Dropbox's user base to understand and predict user behavior to...

  • Machine Learning Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Smule Full time

    The Smule mission is to connect people all over the world through the joy of making music at massive social scale. Music is much more than just listening... It's about creating, sharing, discovering, participating, and connecting with people. It is a social network with the power to break down barriers, touch souls and bring people together from all over the...

  • Remote Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Imbue Full time

    Summary: As a remote machine learning engineer, you'll work very closely with a senior member of Imbue's research team on cutting-edge deep learning research, infrastructure, and tooling to create general human-like machine intelligence.Example projects: Implement a self-supervised network using contrastive and reconstruction losses.Create a library on top...

  • Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Refuel AI Full time

    About The MissionThe next wave of ML applications (video security, conversational AI and autonomous vehicles) is going to look very different from the last one (search and recommender systems). Teams working in these domains have to deal with large streams of unstructured data (images, video, text and audio), exorbitant labeling costs, and broken feedback...

  • Remote Machine Learning Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Ritual Full time

    About Ritual Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.Join us on the journey to decentralize AIAbout the roleWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In...

  • Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Storytime Full time

    We're looking for a machine learning expert with significant experience implementing and optimizing generative models to help build and scale Storytime's synthetic media creation tools. You will be responsible for researching, implementing, and improving state-of-the-art methods in machine generation of images, video, speech, and music. You'll work closely...

  • Staff/Senior Staff Machine Learning Engineer

    Found in: beBee jobs US - 3 weeks ago


    South San Francisco, California, United States Calico Full time

    Who we are:Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan. We will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of...

  • Machine Learning Research Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Imbue (formerly Generally Intelligent) Full time

    In this role you'll work with our researchers to do cutting-edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human-like machine intelligence.If interested, apply here or on Work at a StartupExample projectsImplement a self-supervised network using...

  • Machine Learning/Large Language Model(ML/LLM) Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States Collinear Full time

    Collinear AI, a well-funded and VC-backed stealth startup based in the Bay Area, is dedicated to advancing AI Alignment and Customization. We are seeking a dynamic ML Engineer (LLM) to join our innovative team, comprised of experts from renowned institutions such as Stanford, Hugging Face, and Salesforce.About Collinear AIAt Collinear AI, we are committed to...

  • Senior iOS Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Observant Full time

    We're looking for a Senior iOS Engineer to build new features, improve performance, build out our in-app tooling/infrastructure, and prototype green-field projects.Observant focuses on Automotive, Machine Learning, Transportation, and B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning. Their company has offices in San Francisco, Phoenix,...

  • Machine Learning Engineer

    Found in: beBee jobs US - 2 weeks ago


    San Francisco, California, United States GSK Full time

    ience Physics Computational Biology Computational Chemistry or related quantitative field Expert understanding of a programming language such as Python or R. Experience with at least one Deep Learning framework such as TensorFlow Keras or PyTorch Excellent written and verbal communication skills Why GSK? Our values and expectations are at the heart of...

  • Senior Software Engineer, Infrastructure

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Fathom Full time

    Fathom is on a mission to use AI to understand and structure the world's medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world's largest health systems. Our deep learning engine automates the translation of patient records into the billing codes used for healthcare provider...

  • Senior Software Engineer, Infrastructure

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Fathom Full time

    Fathom is on a mission to use AI to understand and structure the world's medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world's largest health systems. Our deep learning engine automates the translation of patient records into the billing codes used for healthcare provider...

  • Imaging and Machine Learning Intern

    Found in: beBee jobs US - 2 weeks ago


    San Carlos, California, United States Noah Medical Full time

    About The Team:Join the Imaging and Machine Learning Team at Noah Medical, where we are passionate about pioneering precision imaging guidance software and cutting-edge algorithms. Comprising seasoned engineers with advanced degrees and diverse expertise in medical imaging, machine learning, and healthcare applications, we are a dynamic group dedicated to...

  • Founding Machine Learning Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Zep AI Full time

    Zep is building the long-term memory layer for the LLM application stack. We have a large and active open-source community and recently launched our cloud service. We are seeking an experienced ML Engineer to join our startup. As a critical member of our small, high-performance team, you will be responsible for model selection, evaluation, and performance,...

  • Senior Data Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Nightfall AI Full time

    Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall's software platform and APIs to discover, classify, and protect sensitive data.We're looking for a Senior Data Engineer to enhance Nightfall's core data models and infrastructure supporting our real-time and...

  • Machine Learning Intern Summer 2024 Computer Vision

    Found in: beBee jobs US - 3 weeks ago


    San Carlos, California, United States Robust AI Full time

    About Robust:If you want to do the best work of your life, believe diversity is a strength, and be part of an inclusive team of people who care deeply, keep reading Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds...

  • Remote Senior Software Engineer

    Found in: beBee jobs US - 3 weeks ago


    San Francisco, California, United States Imbue Full time

    Summary: Much of the work done at Imbue is effectively pure software engineering. Their perspective is that even machine learning research ends up being about 90% software engineering, so even without any prior machine learning knowledge, there is plenty to contribute as a normal software engineer. Even most of Imbue's machine learning research tends towards...