Senior Engineer II - Inference Data Plane

Join our innovative team at DigitalOcean as a Senior Engineer II, focusing on the Inference Data Plane. In this role, you will lead the development of cutting-edge data processing systems that drive our machine learning initiatives. You will collaborate closely with cross-functional teams to optimize performance and enhance user experience.

Join ServiceNow as a Principal Software Engineer specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage your deep expertise in software engineering and AI/ML technologies to drive innovative solutions and enhance our product offerings. You will collaborate with cross-functional teams to define technical requirements and ensure the successful implementation of advanced AI algorithms.

Join Bright Machines as a Senior Mechanical Engineer, where you will play a pivotal role in designing and developing innovative automated solutions. Your expertise will contribute to our mission of transforming manufacturing through advanced technology.

As a Senior AI/ML Engineer I, you will be instrumental in designing, developing, and deploying innovative machine learning solutions that enhance secure, web-based applications in a dynamic, mission-driven environment. This position prioritizes applied AI, hands-on experimentation, and collaboration with cross-functional teams to deliver robust, production-ready capabilities that adapt to changing mission requirements. At MetroStar, we recognize that exceptional technology services are built by extraordinary individuals. We are dedicated to our team and have cultivated a two-decade legacy of assembling the brightest minds in the industry. Our commitment to understanding and valuing our personnel drives our mission: a passion for our people and a commitment to our customers. If you envision contributing to our mission and advancing our goals, we invite you to explore the detailed job description below!

Join Our Team as an Applied AI EngineerAt Rowspace, we're at the forefront of AI research and engineering, and we are looking for an Applied AI Engineer to help revolutionize how our platform uncovers vital financial insights. Your week may involve developing and deploying AI agents based on client feedback, creating evaluation frameworks for AI performance, and designing sophisticated retrieval systems to optimize AI within financial workflows.Your ResponsibilitiesIntegrate groundbreaking AI research to develop systems that comprehend financial contexts and business concepts.Construct retrieval pipelines that intelligently extract and synthesize insights from unstructured data sources such as PDFs, emails, and presentations.Develop workflows that empower AI systems to analyze financial relationships, conduct benchmarking, and perform comparative analyses.Design and maintain knowledge graphs that represent intricate financial relationships, entity connections, and market dynamics.Create evaluation frameworks to assess and enhance AI performance in investment research, due diligence, and portfolio monitoring.Implement systems ensuring traceability from AI outputs to primary data sources.Experiment with innovative LLM orchestration patterns and context management techniques tailored for financial applications.Guide the technical direction and establish best practices for AI application development at Rowspace.Engage in rapid iteration with direct customer feedback to continuously enhance AI systems based on real-world usage.Oversee the deployment and operation of production systems end-to-end, ensuring reliability, performance, and maintainability across the technology stack.

Join Our Team as a Senior MLOps EngineerAt Truelogic, a premier provider of nearshore staff augmentation services based in New York, we pride ourselves on delivering exceptional technology solutions to businesses of all sizes for over twenty years. Our mission is to facilitate digital transformation for innovative startups and established industry leaders alike.With a talented team of over 600 tech professionals in Latin America, we strive for digital disruption by collaborating with U.S. companies on their most significant projects. From Fortune 500 enterprises to fast-growing startups, our commitment is to deliver impactful results.By applying for this position, you are taking a significant step towards joining a vibrant team that values your skills and ambitions. We aim to align your expertise with opportunities that encourage extraordinary career development and contribute to transformative projects that define the future.About Our ClientOur client is a global leader in technology and digital transformation, specializing in software engineering and IT consulting services across various sectors. They are dedicated to providing innovative and scalable solutions that enable enterprise organizations to navigate complex technological environments.Position OverviewAs a Senior MLOps Engineer, you will play a crucial role in connecting data science with production engineering by developing, deploying, and optimizing scalable machine learning infrastructure. The ideal candidate will be an expert in Python with a comprehensive understanding of the entire machine learning lifecycle, skilled in automating complex workflows, and ensuring the reliability of enterprise-grade models. Your expertise will be instrumental in implementing CI/CD best practices and robust monitoring systems to support high-impact machine learning initiatives in a remote-first, distributed engineering landscape.

About the Role sfcompute is hiring an Applied AI Engineer in San Francisco, CA. This position focuses on building and deploying AI models that support real business needs. The work involves using advanced technologies to create practical solutions that improve how teams operate. What You Will Do Develop and implement AI models tailored to business goals Work closely with teams across the company to understand their challenges Deliver solutions that boost productivity and efficiency

Important Notice This Senior Forward Deployed AI Engineer position at webAI is a direct, full-time role, not tied to specific project funding. Role Overview webAI seeks a Senior Forward Deployed AI Engineer to support Public Sector initiatives focused on building and improving AI systems for secure, distributed environments. This position blends machine learning, systems engineering, and deployment work, helping move AI research into real-world use. Core work includes transforming prototype models into scalable, reliable production systems that perform well on a range of hardware, from government cloud platforms to edge devices, even in restricted or offline scenarios. Candidates based in Austin, TX or the Washington, D.C./Northern Virginia area are preferred. Fully remote work may be possible in some cases, but those outside Austin could need to travel to headquarters occasionally. Travel up to 25% may be required, including on-site visits for deployment, troubleshooting, and integrating the platform at customer locations. Key Responsibilities Work directly with clients to define, implement, and support AI solutions in production environments. Design, build, and deploy intelligent workflows that enable multi-step reasoning, tool use, and decision-making within production systems. Debug and improve data pipelines and AI systems operating on client networks. Translate complex or ambiguous client needs into clear technical solutions. Contribute across the stack, from running model inference on consumer hardware to automating infrastructure. Review hardware schematics and logs to identify performance bottlenecks and suggest improvements. Serve as a technical advisor to enterprise clients, acting as the external face of the engineering team. Share feedback and insights with internal teams to help refine and improve products.

About the Senior Staff AI/ML Engineer Role Sigma Computing builds a platform that helps users explore and analyze massive datasets through a spreadsheet-like interface. Teams use Sigma to visualize data, create dynamic workbooks, and build custom data applications and workflows. AI is central to Sigma’s next phase: making workflow construction easier, surfacing insights, and supporting rapid decision-making for enterprise users. This Senior Staff AI/ML Engineer position joins a team focused on shaping Sigma’s AI foundation. Work here impacts the daily operations of organizations that depend on Sigma for business intelligence and application development. What You Will Do Work with product, design, and engineering to identify AI/ML projects that deliver the most value. Design and build AI systems that make complex processes accessible, including recommendation engines, natural language interfaces, and intelligent workflow tools. Develop and improve AI/ML infrastructure for both internal and customer-facing features. Tackle user experience challenges where AI meets business intelligence and app development. What We Look For Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required). More than 10 years of experience building and deploying production AI/ML systems. Deep knowledge of machine learning, deep learning, and applied AI. Hands-on skill with the full machine learning lifecycle: data curation, training, deployment, and monitoring. History of delivering reliable solutions in areas such as recommendations, search, machine translation, or similar complex systems. Experience adapting or training foundational models (language-based or multimodal) for domain-specific use cases. Bonus Skills (or Areas to Grow Here) Background in building agents for planning, reasoning, and tool use. Familiarity with cloud platforms like AWS, GCP, or Azure. Experience working in a startup or high-growth company. Location: New York City, NY

Role overview formativgroup seeks a Senior Python Engineer for a hybrid role in Fort Lauderdale. The position centers on building and deploying machine learning solutions that transform data into practical insights. Responsibilities include designing, developing, and maintaining machine learning models, as well as integrating AI features into large-scale application environments. Close collaboration with engineering and data teams is an important part of the job. What you will do Create and maintain machine learning models in Python, using methods such as regression, classification, clustering, and ensemble techniques. Build scalable AI and ML solutions with deep learning frameworks like TensorFlow, PyTorch, and Keras. Prepare data for modeling through cleansing, transformation, and feature engineering to improve accuracy. Assess model performance and refine models to increase reliability and predictive value. Develop and integrate RESTful APIs (including Flask or FastAPI) to connect models with applications. Work with cross-functional teams to deploy machine learning solutions in production settings. Location and schedule This is a full-time, hybrid position based in Fort Lauderdale.

We are seeking a seasoned Senior AI Engineer to join our innovative team at National Vision, Inc. In this role, you will be responsible for developing advanced AI solutions that drive our company's technological initiatives. You will collaborate with cross-functional teams to design, implement, and optimize AI algorithms and models, ensuring they meet business objectives and enhance operational efficiency.

Max AI – Revolutionizing Healthcare BillingMax AI is pioneering the first fully-autonomous medical billing AI agent, eliminating the need for human intervention. The healthcare billing market is substantial, valued at $350 billion annually, and we are leading the charge with an exceptional team dedicated to solving this complex issue.Unlike other startups still reliant on human involvement, we have developed a groundbreaking solution for medical billing, starting with dermatology and expanding to other specialties at a remarkable pace.Our team boasts unparalleled expertise: our lead medical coder is a highly successful physician with over 50 million app downloads to his credit, while our Head of AI has over a decade of experience in AI research from prestigious institutions like MIT and Caltech. Additionally, our Head of Engineering was among the first engineers at Figma, bringing invaluable experience to our innovative environment.Role Overview: AI EngineerKey ResponsibilitiesDevelop, test, and improve AI agents and ML models focused on Natural Language Processing (NLP) to enhance medical coding and billing accuracy, as well as revenue cycle management.Assist in creating internal AI frameworks to support the development of our AI agents and ML models.Work collaboratively with a small, dynamic team, interfacing directly with our Operations team and clients to instigate significant enhancements.Work ApproachOwnership of the entire product lifecycle: address challenges holistically rather than in isolation.Employ an agile, iterative methodology with defined accountability.Engage regularly with customers to ensure our product evolves in alignment with their needs.Core ValuesA proactive approach: identify and resolve issues while fostering continuous improvement.A commitment to lifelong learning and professional growth.A positive, collaborative, and team-oriented mindset.Strong communication skills.QualificationsEssential Qualifications6+ years of experience in ML/AI/data science within a production environment.Proficiency in ML/NLP Python libraries including TensorFlow, PyTorch, Scikit-learn, and Transformers, particularly for Hugging Face models.Deep understanding of AI/ML, specifically in NLP techniques (pre-processing, embeddings, transformer-based models).Experience with Large Language Models (LLMs), including supervised fine-tuning, AI frameworks, and LLM evaluations.Preferred QualificationsPrior experience in high-growth startups.Familiarity with regulated industries or healthcare.Experience with AWS.Compensation and BenefitsSalary Range: $150,000 - $250,000 annuallyEquity options available.Comprehensive medical coverage (Platinum PPO).

Join SOCOTEC as an Applied AI Engineer, where your expertise will drive the innovation of AI models to advance our chatbot solutions and other AI-driven applications. You will work in tandem with diverse teams, including data scientists, software engineers, and business stakeholders, to harness cutting-edge AI technologies that solve practical challenges in our sector. Your primary focus will be on creating scalable, efficient, and precise machine learning pipelines while keeping pace with the latest advancements in AI.Model Development: Design and build machine learning models specifically for natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to convert business needs into intelligent AI-driven solutions.AI Pipeline Creation: Develop and enhance comprehensive machine learning pipelines, ensuring data preprocessing, model training, and deployment are efficient and scalable.Performance Optimization: Continuously refine and enhance AI model accuracy, speed, and robustness through advanced techniques like hyperparameter tuning.Best Practices Implementation: Uphold the reliability and quality of AI models through adherence to best practices for training, testing, and evaluation.AI Integration: Collaborate with backend engineers to seamlessly integrate AI models into production systems using tools like LangChain and leading cloud services.Trend Monitoring: Stay abreast of the latest developments in AI, machine learning, and NLP, applying innovative techniques to elevate our technology stack.Documentation: Maintain comprehensive documentation of AI workflows, models, and algorithms to support collaboration and ensure long-term sustainability.Perform additional responsibilities as assigned by your supervisor.

Join Fieldguide as a Senior AI Engineer and play a pivotal role in transforming the future of artificial intelligence. In this position, you will leverage your expertise to design, develop, and implement cutting-edge AI solutions that drive innovation and efficiency. Collaborate with a team of talented professionals to tackle complex challenges and make a significant impact in various industries.

As the Director of Training at Amgen, you will lead the development and implementation of innovative training programs that enhance employee skills and foster a culture of continuous learning. Your role will involve collaborating with various stakeholders to design, deliver, and evaluate training initiatives that align with Amgen's strategic objectives. You will also be responsible for mentoring and guiding your team to ensure high-quality training delivery.

As a Training Coordinator at Collabera Inc., you will play a vital role in enhancing our team’s capabilities through effective training programs. You will be responsible for coordinating and facilitating training sessions, managing schedules, and ensuring that all training materials are up-to-date and accessible. Your contributions will directly impact our employees’ professional growth and the overall success of the organization.

We are seeking a dynamic and highly organized Training Coordinator to join our team at Integrated Resources Inc. In this pivotal role, you will be responsible for coordinating and facilitating training programs that enhance employee skills and knowledge. You will work closely with various departments to identify training needs, develop training materials, and evaluate training effectiveness.

About Flow EngineeringFlow Engineering is an innovative platform harnessing the power of AI to transform how modern engineering teams manage requirements. Our AI-native solution empowers hardware teams to collaborate seamlessly with intelligent agents, facilitating the design, validation, and evolution of complex systems at unprecedented speed and precision.About the RoleWe are on the lookout for experienced senior software engineers with a passion for AI to develop advanced capabilities that enhance the way teams create, review, and oversee requirements. In this role, you will engage with agentic systems and domain engineer workflows, positioning AI at the core of team decision-making processes regarding their systems.This position uniquely integrates AI, product development, and full-stack engineering, allowing you to transform ideas from initial prototypes into stable, observable features deployed in production environments.What You’ll DoDesign and implement AI-driven features, such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions tailored for systems and domain engineers.Create agentic workflows that empower systems engineers and domain engineers to explore designs, simulate changes, and validate requirements effectively.Assess and integrate language models and associated tools, focusing on optimizing reliability, latency, cost, and debuggability within production settings.Develop and sustain the necessary infrastructure, including data pipelines, evaluation harnesses, prompt and model management, observability, and safety protocols.Engage across the entire technology stack—from backend integrations and APIs to user interface components—to deliver comprehensive AI features beyond mere model endpoints.Collaborate with product teams and customers to identify high-value workflows, conduct experiments, and iterate rapidly based on real-world usage insights.About YouA minimum of 3 years’ experience in applied machine learning, large language models, or related fields, with a proven history of delivering ML/LLM-powered features to production.At least 5 years of experience in software development, involving the design, testing, and operation of scalable services in a cloud-based environment.Practical experience with contemporary LLM providers and tools (e.g., OpenAI, Anthropic, Hugging Face, vector stores, and retrieval-augmented generation patterns).Familiarity with prompt design, retrieval-augmented systems, evaluation methodologies, and safety/guardrail strategies.Strong analytical skills to evaluate trade-offs between various models, architectures, and deployment patterns, enabling informed decision-making.A collaborative spirit and effective communication skills to work alongside cross-functional teams.

Harvard University seeks a Learning Designer to help create engaging learning experiences on campus in Cambridge. This position centers on supporting faculty and staff in shaping instructional materials and courses that encourage student participation and improve learning results. Role overview The Learning Designer works closely with academic teams to design, implement, and assess educational content. The aim is to foster innovative approaches that make courses more interactive and effective for students. Collaboration Expect regular collaboration with both faculty and staff. Together, you will identify instructional needs, develop course materials, and refine learning experiences based on feedback and evaluation. Focus areas Designing and updating instructional materials Implementing new course structures and activities Evaluating course effectiveness to support student learning

Our MissionAt Reflection AI, our goal is to create open superintelligence and ensure its accessibility for everyone.We are pioneering open weight models for various users, including individuals, enterprises, and even nation-states. Our talented team comprises AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Role OverviewDevelop systems that convert robust pre-trained models into aligned and versatile agents.Lead research and engineering efforts to advance post-training practices, focusing on data curation and large-scale optimization.Create data generation frameworks, reward models, reinforcement learning algorithms, and techniques for inference-time scaling.Collaborate with both pre-training and post-training teams to achieve significant enhancements in model capabilities.Help refine our understanding of how large models learn to reason, follow instructions, and evolve through reinforcement learning.Your ProfileSolid grasp of machine learning principles with hands-on experience in large-scale LLM training.Proficient engineering skills, with the ability to navigate intricate ML codebases and distributed systems.Experience in enhancing model performance through data, reward modeling, or reinforcement learning techniques.Track record of leading ambitious research or engineering projects resulting in measurable improvements.Thrives in a dynamic, high-agency startup atmosphere; oriented towards action and clarity in execution.Ability to work seamlessly across research and infrastructure boundaries.Excellent communication skills and a collaborative mindset.Driven by a passion for pushing the boundaries of intelligence.What We Provide:At Reflection AI, we believe that to truly build open superintelligence, it must be rooted in a strong foundation. By joining us, you will contribute to building from the ground up within a compact, highly skilled team. Together, we will shape the future of our company and the landscape of open foundational models.We aim for you to accomplish the most impactful work of your career, with the assurance that you and your loved ones are well-supported.