Jobs
>
San Francisco

    Principal Machine Learning Engineer - San Francisco, United States - Altana AI

    Default job background
    Description

    Altana provides the world's only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data. Through the Atlas, companies and governments can understand the distant origins of products well beyond their own direct suppliers; discover trading relationships and national security risks deep in their networks; measure labor and environmental impacts; identify related risks and opportunities; ensure effective compliance and enforcement with trade requirements; and collaborate to manage all of it.

    We have built a fundamental understanding of how the world's economy works, and the implications for global resiliency, sustainability and opportunity are enormous. Backed by leading investors and used by the world's most important organizations (Maersk, US Customs and Border Protection, Boston Scientific, and more), Altana's mission is to power a new era of globalization organized around trusted supply chain networks.

    This is a lofty mission, and our success depends on building a diverse, global team and creating an environment in which they can thrive. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact.

    The Opportunity at Altana

    The Engineering team is looking for talented Machine Learning Engineers to help build out our vision. In this role, you'll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows.

    You Will

    • Develop, deploy and continuously improve machine learning models powering Altana's classification, risk screening, network analysis, and entity resolution capabilities.
    • Build and maintain supportable, scalable and evolvable machine learning pipelines
    • Work in a cross-functional team with software engineers, data scientists and product managers to generate new business ideas and enhance our product offerings.
    • Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment
    • Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends

    You Have

    • BS degree in Computer Science, Data Science, or equivalent experience
    • Passionate about applying SOTA ML techniques to solve real world applied problems and willingness to get your hands dirty in the data and domain to achieve measurable outcomes
    • 10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions
    • Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas)
    • Proven track record of ownership and delivery of projects with major organizational impact
    • You care deeply about engineering excellence, supportability and knowledge-sharing
    • You have strong written and verbal communication skills
    • You are curious, always learning, and keep a close eye on latest developments in the fields of Machine Learning and Artificial Intelligence

    Nice to have, but not required

    • Prior experience building and tuning large language models (Bert, LLaMA, or similar)
    • Familiarity with prompt engineering and chain-of-thought prompting for LLMs
    • Experience in multi-modal ML on text and images, and text and structured features
    • Working knowledge of cloud services like AWS, Azure, or GCP

    Technologies we love

    • Languages: Python, Spark
    • Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
    • Datastores: Databricks, Elasticsearch, Postgres, ArangoDB
    • ML Tools: Tensorflow, PyTorch, Keras, FAISS

    This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City; Boston, MA: Washington D.C.; London, UK; San Francisco, CA

    Why it's great to work at Altana

    • We love to collaborate, and we win as a team
    • We are committed to engineering excellence
    • We value personal and professional development
    • We learn from diverse backgrounds and perspectives
    • We impact the world, from enabling developing countries to identifying drug traffickers

    At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.



  • Acceler8 Talent San Francisco, United States

    Senior ML Engineer Position – San Francisco (Hybrid/Flexible) · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct datas ...


  • Perplexity AI San Francisco, United States

    Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for eng ...


  • Rain Neuromorphics Inc. San Francisco, United States

    MACHINE LEARNING ENGINEER · Company: Rain Neuromorphics Inc. · Location: San Francisco, CA · Position Type: Full Time · Experience: See below for details · Education: See below for details · Machine Learning Engineer (San Francisco, CA) - Dvlop, implmt & deploy state-of-the-art o ...


  • Wayve San Francisco, United States

    WHO ARE WE? · Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team we're focusing on using less data to learn more intelli ...


  • Skale San Francisco, United States

    An exciting, VC-backed startup is looking for an ML Research Engineer in San Francisco. This role is onsite daily in the financial district. · You'll work with the founding team and design, train and productionize a range of ML models. The product is an AI platform aimed at inst ...


  • Swish Analytics San Francisco, 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 intuiti ...


  • Haystack News San Francisco, United States

    Job Description · Job DescriptionHaystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the ...


  • Tempo LLC San Francisco, United States

    At SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personalization. We're looking for a creative problem solver who has broad knowledge of a var ...


  • Health San Francisco, United States

    Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading m ...


  • Stripe San Francisco, United States

    Who we are · About Stripe · Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mi ...


  • Unreal Gigs San Francisco, United States

    Job Description · Job DescriptionOverviewJoin our dynamic team as a Machine Learning Engineer to pioneer solutions that transform industries. Your role involves developing sophisticated machine learning models and deploying scalable AI systems. You'll be at the forefront of innov ...


  • Perplexity AI San Francisco, United States

    Job Description · Job DescriptionPerplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of thi ...


  • X (formerly Twitter) San Francisco, United States

    Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is t ...


  • Equilibrium Energy San Francisco, United States

    About Our Company · Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, ec ...


  • Square San Francisco, United States

    Company Description · Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is bui ...


  • Dnnae San Francisco, United States

    We are looking for a Deep Learning-Speech Engineer who will partner with both the business and technical teams to innovate and deliver new AI features and enhancements (particularly focused around audio) for our product. You will create and/or modify complex solutions that meet t ...


  • EMA San Francisco, United States

    Who we are · Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Co ...


  • Genentech San Francisco, United States

    The Position · The Position · A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. ...


  • Tempo San Francisco, CA, United States

    [Full Time] Machine Learning Engineer at Tempo (United States) | BEAMSTART Jobs · Machine Learning Engineer · Tempo United States · Date Posted · 26 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · $100000 — $200000 yearly · Job Type · Full Ti ...


  • FLYR Labs San Francisco, United States

    Our Vision · FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. · FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced ...