Senior Machine Learning Engineer at Databricks | San Francisco

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.

P-150 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

About This Role Join Databricks as a Software Engineer focused on GenAI inference, where you will play a pivotal role in designing, developing, and enhancing the inference engine that drives our Foundation Model API. Collaborating at the intersection of research and production, you will ensure our large language model (LLM) serving systems are optimized for speed, scalability, and efficiency. Your contributions will span the entire GenAI inference stack, from kernels and runtimes to orchestration and memory management. What You Will Do Participate in the design and implementation of the inference engine, collaborating on a model-serving stack tailored for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features such as sparsity, activation compression, and mixture-of-experts into the engine. Optimize latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Build and maintain tools for instrumentation, profiling, and tracing to identify bottlenecks and inform optimization efforts. Develop scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads. Ensure reliability, reproducibility, and fault tolerance in inference pipelines, including A/B launches, rollback, and model versioning. Integrate with federated and distributed inference infrastructure, orchestrating across nodes, balancing load, and managing communication overhead. Engage in cross-functional collaboration with platform engineers, cloud infrastructure, and security/compliance teams. Document and share insights, contributing to internal best practices and open-source initiatives as appropriate.

Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission Join our team as a Solutions Architect, where you will play a pivotal role in empowering large enterprises to harness the full potential of their data. Collaborating closely with the Enterprise Account Executive (AE), you will define and implement the technical strategy for our most significant accounts, driving deeper and wider adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and leadership will be key in maximizing client success. You will work alongside a dedicated team that builds proofs of concept and showcases Databricks' innovative products. A strong technical understanding of ML and AI applications across various use cases relevant to the High Tech and Manufacturing sectors is essential. Outcomes Act as the primary technical voice for Databricks across multiple clients. Guide customers through a transformational journey, facilitating their evaluation and adoption of Databricks solutions. Implement tailored technical strategies within accounts based on a deep understanding of their needs. Foster a network of technical champions within client organizations. Align technical strategies with Databricks solutions effectively. Provide structured mentorship to enhance the skills of team members. Earn respect from peers through your experience, insights, and contributions. Competencies: Expertise in establishing and leading virtual teams to achieve success within client accounts. Experience managing large global accounts with an annual recurring revenue (ARR) exceeding $1 million. Ability to build relationships with executives and key influencers. Skill in presenting persuasive viewpoints to decision-makers, steering them toward successful outcomes. Strong technical background in big data, data science, and cloud technologies. Proven ability to drive data-driven business transformation. Programming experience in Python, R, Scala, or Java. Preferred: Databricks Certification.

Join Databricks Mosaic AI as a Senior Machine Learning Engineer and take the lead in developing our cutting-edge generative AI platform. Our team, formed in late 2020, empowers businesses by allowing them to securely fine-tune, train, and deploy custom AI models using their own data. This ensures maximum security and control while being compatible with all major cloud providers, allowing for unparalleled flexibility in AI development.Since our integration into Databricks in July 2023, we have been dedicated to tackling some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We leverage deep data insights to enhance our customers' business capabilities and thrive on overcoming technical challenges to deliver superior data and AI solutions.Role Overview:As a Senior Machine Learning Engineer, you will play a pivotal role in the design and implementation of our generative AI platform, covering the entire ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. Your expertise will be essential in translating user requirements into intuitive product interfaces while constructing robust backend distributed systems that drive these features.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.

About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.

P-1380 Join Databricks as a Senior Applied AI Engineer, where you will harness the power of machine learning, scheduling, and optimization algorithms to enhance the efficiency and performance of our engineering systems and infrastructure. Our Applied AI team tackles some of the most challenging and fascinating issues in the industry, ensuring that Databricks infrastructure and products operate at peak performance and cost efficiency. This role is critical, as our customers depend on us to deliver the most optimized workloads. Your Impact: Develop comprehensive systems from the ground up within a dynamic team of seasoned professionals. Influence the direction of our applied machine learning investment areas by collaborating with engineering and product teams across the organization. Lead the design and implementation of advanced AI models and systems that enhance the capabilities and performance of Databricks' products, infrastructure, and services. Architect and deploy robust, scalable machine learning infrastructure, including data storage, processing, model training, serving components, and monitoring systems to facilitate seamless integration of AI/ML models into production environments. Explore innovative modeling techniques in the realm of machine learning for systems. Contribute to the wider AI community by publishing research, presenting at conferences, and actively engaging in open-source projects, thereby strengthening Databricks' reputation as an industry leader.

Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.

At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

About SentryAt Sentry, we recognize that poor software experiences are all too common, and we are determined to change that. Our mission is to empower developers to create better software more efficiently, allowing everyone to reconnect with the joy of technology.With over $217 million in funding and a community of more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are pioneering performance and error monitoring solutions. Our tools enable companies to spend less time addressing bugs and more time innovating.Sentry promotes a hybrid work environment across our global hubs, designating Mondays, Tuesdays, and Thursdays as in-office collaboration days. If you are passionate about creating solutions that enhance the digital experience, we invite you to join us in developing the next generation of software monitoring tools.About the RoleAs a Staff Machine Learning Engineer within Sentry’s AI/ML team, you will take the lead in developing advanced models and agents that enhance our products' intelligence and functionality. This pivotal role involves integrating AI and machine learning into our core offerings, including issue triage and resolution, as well as predictive analytics for application performance monitoring. Your contributions will enable organizations worldwide to derive actionable insights from their software, helping them to create superior products at an accelerated pace.In This Role You WillCreate cutting-edge agentic AI systems for triaging, debugging, and resolving real-world production challenges.Utilize Sentry’s extensive dataset of errors, spans, and profiles to inform your work.Lead the charge on significant AI/ML initiatives within the organization.You Will Thrive in This Role If YouAre motivated by making a meaningful impact and enjoy high-stakes, visible projects.Have a passion for building and will embrace the opportunity to be a founding member of the AI/ML team.Excel in cross-functional collaboration, working alongside developers and product teams to create features.

Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...

Machine Learning EngineerJoin our client, a pioneering company dedicated to developing state-of-the-art non-invasive technology for brain interfacing. They are at the forefront of creating an innovative ultrasound-based platform that not only stimulates but also images brain activity with unmatched precision and depth, paving the way for groundbreaking advancements in neurological treatments and health research.This integrated approach combines cutting-edge hardware, sophisticated real-time software systems, and applied neuroscience to produce scalable solutions that can enhance lives on a global scale.We are looking for a skilled Machine Learning Engineer to play a crucial role in designing and implementing the essential algorithms that will facilitate precise imaging and targeting of brain activity through ultrasound systems.

About the RoleJoin Onyx, an esteemed open-source project that has captivated hundreds of thousands of users. With over 10,000 stars and a vibrant community of over 3,000 members on platforms like Slack and Discord, your contributions could impact millions in the future. Your ImpactAs a Machine Learning Engineer at Onyx, you will play a pivotal role in enhancing our knowledge layer on top of Large Language Models (LLMs). You will tackle complex challenges such as multi-hop question answering, needle-in-haystack retrieval, and advanced Retrieval-Augmented Generation (RAG) techniques. Key ResponsibilitiesDesign and implement knowledge graphs based on LLMs, exploring advanced RAG methods and cutting-edge information retrieval algorithms.Enhance user experience through innovative features like feedback learning, personalized search, and Subject Matter Expert (SME) suggestions.Develop a semantic understanding of organizational priorities to improve Onyx's answering capabilities.Manage projects from initial conception through validation to production deployment.Collaborate closely with our Founders and Head of AI to shape product direction and contribute to our AI/ML strategy. Success Criteria3+ years of experience in AI/ML engineering, focusing on real-world applications.In-depth expertise with PyTorch/TensorFlow, natural language processing (NLP) models, and standard machine learning algorithms.Stay current with advancements in open-source and proprietary LLMs, RAG, and agent frameworks.Strong software engineering skills, capable of building backend features using web frameworks, ORMs, and relational databases.Excellent communication skills, with the ability to collaborate effectively across teams.⭐ Bonus SkillsFamiliarity with full-stack technologies, including TypeScript, React, Next.js, Python, and PostgreSQL.Passion for writing technical blogs to position Onyx as a leader in the field.

About ApiphanyApiphany is an innovative AI company dedicated to advancing physical product development. We empower global leaders in industries such as automotive, aerospace, medtech, and energy to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexity for the world's premier manufacturers.Our models are meticulously crafted to address the unique challenges of engineering and manufacturing. They are designed to comprehend principles of physics, design specifications, and program constraints. Our team is a select group of experts from prestigious institutions like Stanford, Berkeley, MIT, UW, and CMU, alongside veterans from GM, Ford, and Genesis Therapeutics. We are committed to redefining hard-tech and constructing a category-defining enterprise together.About the RoleAs a Machine Learning Engineer at Apiphany, you will architect and deploy cutting-edge machine learning models to address some of the most intricate challenges within the physical domain. You will create systems capable of reasoning with complex engineering data, developing AI that grasps physics, design limitations, and real-world performance trade-offs.This role is tailored for innovators eager to expand the horizons of AI applications in the tangible world.