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Experience Level
Experience
Qualifications
Proven experience in software engineering and machine learning operations. Strong expertise in cloud platforms (AWS, GCP, or Azure). Experience with containerization and orchestration technologies (Docker, Kubernetes). Proficiency in programming languages such as Python, Java, or Scala. Strong problem-solving skills and a collaborative mindset. Excellent communication skills, both verbal and written.
About the job
We are seeking a passionate and skilled Machine Learning Infrastructure Engineer to join our dynamic team at Later. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust machine learning infrastructure that enables our data scientists and engineers to effectively deploy and manage machine learning models at scale.
The ideal candidate will have a strong background in software engineering, cloud computing, and machine learning operations. You will work closely with cross-functional teams to optimize workflows and ensure the reliability and scalability of our machine learning systems.
About Later
Later is a forward-thinking technology company based in Los Angeles, California, specializing in innovative solutions that empower businesses to leverage the power of machine learning. Our mission is to streamline workflows and enhance productivity through cutting-edge technology, making us a leader in the industry.
Join our dynamic R&D team at VoxelCloud, located in the heart of Los Angeles, CA, as we forge innovative advancements in medical imaging technology. Our focus on solutions for disease detection and quantification, risk stratification, image synthesis, and text report mining is at the forefront of healthcare innovation! We are excited to welcome both full-tim…
Key ResponsibilitiesArchitect and implement innovative software products leveraging industry best practices and agile methodologies.Transform user stories into comprehensive product designs, reference architectures, and software deliverables.Collaborate with cross-functional teams, including product leads, data scientists, and machine learning specialists, to maximize innovation and business impact.Utilize your passion for software development to create high-quality, user-centric products.Assume ownership of the development process and contribute to strategic decision-making.Adapt to evolving business needs and navigate through uncertainty effectively.
Join the innovative Data team at VoxelCloud, located in the vibrant Westwood area of Los Angeles, CA. Our team is at the forefront of managing and optimizing extensive medical and healthcare datasets integral to our research and development efforts. As a Data Engineer Intern, you will report directly to the Data Team Lead and engage in the acquisition and manipulation of vast datasets across multi-modal formats—including medical images and electronic medical records (EMR)—utilizing cloud storage solutions.The ideal candidate is a proactive data pipeline architect and data wrangler who thrives on building and refining data systems from the ground up. You will play a pivotal role in supporting our software developers and machine learning engineers in various product and research initiatives, ensuring the creation of optimal data delivery pipelines that maintain consistency across ongoing projects. We seek a self-motivated individual who is excited about the potential to optimize or redesign our data architecture to facilitate the next generation of our products and data initiatives.
As VoxelCloud transitions from early development and validation to full productization, we are seeking a highly skilled Chief Technology Officer to join our senior management team. This pivotal role is essential for expanding our technology group and assets, enabling us to meet strategic objectives. Join a team of innovative and passionate individuals dedicated to creating cutting-edge AI solutions that have the potential to save lives.Lead VoxelCloud’s technology team in overseeing the company’s IT infrastructure, while continuously enhancing our data assets and products. Your responsibilities will include recruiting and managing a talented team, ensuring the timely and budget-conscious delivery of AI software products and data.Strategize and manage IT assets to support the company’s current operations and growth initiatives.Build and lead a world-class data team and infrastructure.Research and implement optimal machine learning and data approaches, focusing on maximizing the value of data and annotations.Oversee and improve our data annotation platform and processes to support medical imaging labeling, enhancing data quality and label consistency in a cost-effective manner.Collaborate with product leads and internal teams to define product specifications, data requirements, and development objectives.Direct the design, development, and production of machine learning and deep learning models that underpin VoxelCloud’s products.Lead the creation of engaging product UI/UX.Manage an agile product development process.Ensure compliance with all relevant regulations, security protocols, and industry best practices, working closely with regulatory affairs and quality assurance teams.Oversee the technical aspects of VoxelCloud’s product clinical trials, FDA clearance processes, and subsequent commercialization efforts. Collaborate with product leads, regulatory affairs, and team members to design and execute clinical trials and support the FDA clearance process.Determine and manage the technology budget necessary to achieve the outlined objectives.
Join our innovative R&D team at VoxelCloud in Los Angeles, CA, where we are dedicated to revolutionizing medical image analysis through cutting-edge deep learning solutions. We are seeking a full-time Machine Learning Engineer to contribute to our model team, focusing on advanced applications in Thorax, Retina, Cardio, and Skin.Key Responsibilities:Develop and refine deep learning models for both prototyping and production based on specific product feature requests.Design, implement, and rigorously test model experiments utilizing leading deep learning frameworks.Document experimental findings comprehensively, providing summary statistics for peer discussions and reviews via Confluence.Advise on data collection and annotation processes, collaborating closely with our data management and labeling team.Write deployment code with a focus on Dockerization, and optimize deployed models for performance and inference speed.Engage in methodological research in deep learning to facilitate scalable, real-time implementations.
Full-time|On-site|Los Angeles, California, United States
We are seeking a passionate and skilled Machine Learning Infrastructure Engineer to join our dynamic team at Later. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust machine learning infrastructure that enables our data scientists and engineers to effectively deploy and manage machine learning models at scale.The ideal candidate will have a strong background in software engineering, cloud computing, and machine learning operations. You will work closely with cross-functional teams to optimize workflows and ensure the reliability and scalability of our machine learning systems.
Genies is a pioneering company in AI avatar technology, driving the visual and embodiment layer for artificial intelligence. With the innovative Genies SDK, our proprietary avatar framework brings AI to life as fully realized personas that think, behave, and interact like real individuals. Our technology powers use cases for AI companions, non-player characters (NPCs), and agents across various sectors including enterprise, consumer, creator, entertainment, and gaming. Backed by an impressive $200M in funding from leading investors like Silver Lake, BOND, and Bob Iger, we are founded on the vision that every digital platform, game, brand, and individual will incorporate an AI persona.We are currently seeking a Machine Learning Engineering Intern to join our R&D team this summer in our Los Angeles office (Hybrid). You will collaborate with a talented group of technical artists and engineers to explore and develop cutting-edge concepts and technologies that advance Genies' mission of enabling users to create their own avatar ecosystems. We are looking for individuals who are passionate about crafting high-quality visuals and possess the technical expertise needed to drive the next evolution of digital identity.
As a Senior Manager of Machine Learning Engineering within the Anti-Cheat division at Riot Games, you will be at the forefront of combating unfair play. Our engineering managers are not only technical leaders but also champions of their teams, fostering an inclusive and growth-oriented environment. Your role will involve making informed architectural choices and ensuring that the quality of technical decisions enhances our service to players.The Anti-Cheat team is pivotal in safeguarding the integrity of our games against cheaters. Comprising a diverse group of experts—ranging from former cheaters to machine learning engineers—we develop innovative solutions like Vanguard to detect and eliminate unfair players across all titles and platforms. In your capacity as Senior Manager, you will lead multiple teams, including Data Analytics, Data Engineering, and Machine Learning Engineering, to operationally support and advance our anti-cheat initiatives.You will be responsible for setting the strategic direction of your teams, optimizing their structure for success, and ensuring alignment with game development teams. Your contributions will be crucial in translating product objectives into actionable technical strategies and in fostering collaboration across departments. Your success will be evaluated through the fairness of our competitive ladders and the effectiveness of anti-cheat measures.
Join Hadrian - Shaping the Future of ManufacturingAt Hadrian, we are revolutionizing the manufacturing landscape by creating autonomous factories that empower aerospace and defense industries to produce rockets, satellites, jets, and ships up to 10 times faster and at half the cost. Our innovative integration of advanced software, robotics, and comprehensive manufacturing capabilities is transforming how vital components are made in America.Having successfully raised $260 million in our Series C funding, we're excited to announce the launch of our new 270,000 square foot factory in Mesa, Arizona, which will generate 350 immediate job opportunities. This expansion includes the establishment of our new headquarters to facilitate thousands of future hires, the launch of Hadrian Maritime for naval production, and the introduction of a Factory-as-a-Service model that provides complete systems rather than just individual components.Collaborating with startups, Tier 1 and Tier 2 suppliers, and major defense contractors, Hadrian is committed to scaling production, minimizing costs, and accelerating the delivery of mission-critical projects across the realms of space, shipbuilding, and aviation. Backed by prestigious investors such as Lux Capital, Founders Fund, and Andreessen Horowitz, our rapidly growing team shares a unified vision to reindustrialize American manufacturing for the 21st century and beyond!Your Role:As a Senior Machine Learning Engineer at Hadrian, you will be instrumental in developing advanced software systems that automate Design for Manufacturing (DFM) analysis, enhancing the efficiency of precision manufacturing. Our proprietary DFM platform evaluates design prints and CAD models to make informed, data-driven decisions about the manufacturability of parts.You will collaborate closely with top-tier operators to pinpoint significant opportunities where software, computer vision, and machine learning can substantially enhance or automate complex engineering tasks. Your expertise will be crucial in the design, development, and scaling of these systems from inception to implementation.Key Responsibilities:Research, develop, and implement state-of-the-art deep learning models, including OCR, vision-language processing, and detection models for document comprehension and layout analysis.Collaborate closely with engineering teams and end users to refine and enhance existing models.Engage in all aspects of the Machine Learning lifecycle, from building and optimizing production data pipelines to developing software systems for training, inference, labeling, and evaluation.Perform rigorous testing and validation of models to ensure optimal performance and reliability.
Full-time|$164K/yr - $213K/yr|On-site|Los Angeles, CA
Xometry (NASDAQ: XMTR) is at the forefront of innovation, bridging the gap between visionary thinkers and manufacturers capable of transforming ideas into reality. Our digital marketplace equips manufacturers with essential resources for growth, while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are in search of a Principal Data & ML Scientist to join our dynamic Generative AI team. The successful candidate will possess a fervent enthusiasm for pushing the boundaries of machine learning and generative AI, particularly in the areas of fine-tuning generative and language models, multimodal document comprehension, and structured data extraction. This role will utilize your expertise in generative models and data science to create and enhance cutting-edge AI-driven solutions that elevate Xometry's service offerings.
Establish and maintain a robust infrastructure tailored for the data team, ensuring consistent performance that meets their needs.Oversee information technology and computer systems management.Strategically plan, organize, control, and evaluate IT and electronic data operations.Design, develop, implement, and coordinate comprehensive systems, policies, and procedures.Guarantee the security of data, network access, and backup systems.Align operational practices with user requirements and system functionality to advance organizational policies.Proactively identify issues and implement timely strategic solutions.Conduct audits of systems and evaluate their effectiveness.Safeguard assets, information security, and control structures.Manage the annual budget while ensuring cost-effectiveness.
Full-time|$175K/yr - $220K/yr|On-site|Los Angeles, California, United States
The Role – Senior Software EngineerJoin our dynamic team at Genius Sports as a Senior Software Engineer, where you will be instrumental in developing the systems and applications that drive our innovative, real-time GeniusIQ products. You will have the opportunity to work closely with our Computer Vision and AI/Machine Learning teams, transforming cutting-edge models from research into reliable, efficient solutions in live environments. Your contributions will include building essential services, orchestration layers, configuration tools, and monitoring systems required to manage, visualize, enhance, and scale our automated data pipelines for thousands of global sporting events each year. What You Will DoCollaborate with multidisciplinary teams to design and implement robust software solutions.Optimize and maintain existing systems to ensure high availability and performance.Develop internal tools for managing data workflows and enhancing operational efficiency.Monitor system health and respond to incidents in real time.Participate in code reviews and contribute to team knowledge sharing.
Role overview Genies seeks a Senior Machine Learning Engineer specializing in Animation Integration to influence the next generation of animated character experiences. This is an onsite position at Genies LA. What you will do Design and implement machine learning solutions to improve the integration of animated characters across various platforms. Collaborate with engineers and product teams to advance user experiences using animation technology. Lead technical progress in animation by applying innovative machine learning techniques. Who thrives in this role Engineers with substantial machine learning expertise and a genuine interest in animation. Individuals driven to enhance how users engage with animated content.
Genies seeks a Senior Machine Learning Engineer specializing in Animation Modeling to join its Los Angeles team. This role centers on developing and refining machine learning models that power animated digital avatars. Role overview The position focuses on advancing the technology behind avatar animation, directly influencing how users engage with and experience avatars across various platforms. The work involves both building new models and improving existing ones to enhance realism, responsiveness, and interactivity. Location This role is based in Genies' Los Angeles office.
Full-time|$300K/yr - $400K/yr|Hybrid|Los Angeles, California, United States
At StubHub, we are committed to transforming the live event experience across the globe. Whether attendees are looking to enjoy their first concert or their hundredth, we ensure a seamless journey from ticket search to event entry. Our platform also empowers sellers, from individual fans to large-scale event promoters, making StubHub the safest and most convenient option for offering tickets to millions of fans worldwide.The Data Science team, a vital segment of StubHub's broader Data organization, seeks a seasoned and strategic Data Science Manager to lead a dynamic team currently comprising six talented professionals, ranging from entry-level to senior data scientists.As the largest secondary ticket marketplace globally, StubHub collects extensive consumer data that provides opportunities to address unique predictive challenges, including user acquisition, personalized product recommendations, pricing optimization, ticket fulfillment strategies, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to balance technical oversight with mentorship will be crucial for your team's sustained success.You will also focus on the professional and technical development of your team, fostering talent through targeted mentorship, strategic career growth initiatives, and a commitment to operational excellence. As we increase our investment in machine learning, planning for team structure and growth will be essential, particularly in exploring generative AI applications within our products.This is an exciting time to join the Data Science practice at StubHub. With established value and a high-performing team, we are poised for further growth. Key investment areas include developing deep technical expertise in areas such as causal inference and graph machine learning, advocating for top-tier ML tools and platforms, and expanding the influence of data science throughout the organization. As a senior leader, you will play a pivotal role in shaping and realizing this vision.Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA
ABOUT CIM GROUP:CIM Group is a visionary real estate and infrastructure company dedicated to enhancing communities through thoughtful investment and development. Established in 1994, our founders have successfully transformed neighborhoods in Southern California, and today, we boast a diverse team of over 900 professionals working on projects across the Americas. Our commitment to delivering sustainable infrastructure and creating vibrant living environments is at the core of our mission. Join us at CIM Group and contribute to making a meaningful impact in the communities we serve.POSITION PURPOSE:As the Senior Machine Learning Operations Engineer, you will spearhead the design and management of secure, scalable infrastructure for machine learning model deployment and lifecycle management. This pivotal role focuses on building and optimizing the firm's ML Ops platform on Databricks, with a strategic emphasis on productionizing Generative AI and Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG) systems and vector database implementations.You will ensure the seamless transition of models from development to production, adhering to regulatory and compliance standards. Collaborating with Data Science, Platform Engineering, Information Architecture, and various business verticals (such as Fund Accounting, Investor Relations, and Investments), you will drive ML insights, improve model accuracy, and manage the ML/AI ecosystem effectively.Beyond technical responsibilities, you will define the ML Ops strategy and architecture, tackling the final hurdles of AI value realization by automating and scaling ML models and Generative AI applications as essential business assets. Your leadership will enhance operational efficiency, improve model accuracy, accelerate time-to-market for AI solutions, and ensure robust governance of machine learning and generative AI initiatives.
Role overview Galileo Learning is hiring a Summer Instructor in Los Angeles. This position involves guiding and motivating young learners in a camp setting. The focus is on leading hands-on activities, encouraging creative thinking, and creating a safe, welcoming environment where children can explore new ideas. What you will do Lead group activities that inspire curiosity and imagination Promote a positive classroom culture, encouraging kids to try new things Ensure the safety and well-being of every child during each session Demonstrate enthusiasm for learning and exploration Location This is an on-site role based in Los Angeles.
About ChalkChalk is revolutionizing the data landscape by crafting a cutting-edge platform that fuels the next generation of machine learning applications. We eliminate the traditional complexities, latency, and scalability issues that have limited ML capabilities. By combining lightning-fast Rust performance with intuitive tools, we empower developers to innovate and excel. Notable companies rely on Chalk for critical functions, including detecting fraudulent credit card transactions, identity verification, and optimizing clean energy utilization. Recently, we successfully secured a $50 million Series A funding, led by Felicis.About the RoleAs an Account Executive reporting directly to the VP of Sales, you will drive the closure of new business through a consultative and technical sales approach, targeting high-growth, venture-backed companies. Your role will involve identifying new business opportunities, engaging prospective clients, and exploring new industry verticals. If you possess a strong understanding of technical products and relish the opportunity to communicate their value effectively, this is your chance to become a pivotal early employee in our fast-growing startup!Our Work EnvironmentWe maintain a fully in-office presence five days a week. While we understand that occasional conflicts may arise, our approach is flexible. Please note that this position does not offer a hybrid work option.Key ResponsibilitiesIdentify and engage prospective customers, driving opportunities for new business.Develop and implement dynamic sales strategies to consistently meet and exceed revenue targets.Conduct thorough market analysis to enhance Chalk's sales playbook and positioning.Utilize a consultative sales approach to understand customer goals and technical challenges.Become a subject matter expert on Chalk, adeptly answering customer inquiries and providing insights.
Full-time|$100K/yr - $150K/yr|On-site|Los Angeles, CA
At Bee Genius, we are shaping the future of work today.This post has been generated on behalf of our client:We are seeking a skilled Data Scientist to become a vital part of our innovative team. In this role, you will delve into extensive datasets, craft predictive models, and uncover insights to facilitate data-driven decision-making.Key Responsibilities:Identify, clean, and prepare large datasets for comprehensive analysis.Design and deploy machine learning algorithms and predictive models.Interpret complex data sets to derive actionable insights.Collaborate with interdisciplinary teams to establish data needs.Communicate findings and recommendations effectively to stakeholders.Keep abreast of the latest trends in data science and machine learning.
Join Freeform Future Corp as a Principal Machine Learning Researcher specializing in Physical AI. In this pivotal role, you will lead innovative research projects that push the boundaries of machine learning applications in physical systems. Collaborate with a team of talented researchers and engineers to develop cutting-edge algorithms and models that enhance our understanding of physical phenomena.As the Principal Machine Learning Researcher, you will have the opportunity to influence the direction of our research initiatives, mentor junior team members, and engage with industry leaders to drive impactful outcomes.
