Senior Machine Learning Engineer

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.

About StepAt Step, we empower side hustlers, creators, freelancers, and investors. We're dedicated to those eager to start early, rebuild, or enhance their current situation. For individuals who embrace challenges, especially in their financial journeys.Step is a cutting-edge financial services provider, committed to transforming the banking and borrowing experience to help individuals achieve financial independence swiftly. We offer essential tools, education, and opportunities to manage, build, and grow wealth with assurance. Our focus is to disrupt the banking sector by crafting a distinctive, mobile-first consumer experience.Our product has resonated with over 7 million customers, and if you're seeking to join a rapidly expanding company with a purposeful mission that prioritizes people, we would love to connect with you!Step is part of Beast Industries, a diverse media and entertainment enterprise founded by Jimmy Donaldson, widely recognized as MrBeast, the most-watched individual globally. Beast Industries has redefined digital content creation and consists of a wide array of ventures that extend beyond its YouTube roots. With a commitment to entertain, inspire, and create substantial social impact, Beast Industries operates across numerous domains, including digital media, philanthropy, consumer products, and innovative business initiatives. We believe in the transformative potential of digital media to entertain, educate, and foster positive change. Our dedication to creativity, innovation, and philanthropy inspires us to explore new challenges, create unforgettable experiences, and build a legacy that motivates future generations.The RoleWe are seeking a skilled Senior Machine Learning Engineer to design, build, and implement Machine Learning models for our Risk and Fraud detection systems.

Join Our Team as a Senior Machine Learning Engineer!thatgamecompany is looking for a passionate and self-motivated Senior Machine Learning Engineer to work remotely within the US or Canada. In this pivotal role, you will take charge of developing our core machine learning models and the essential data and training pipelines that support them. We value individuals who are self-starters and bring a proactive approach to problem-solving, while also being collaborative team players. You will have the autonomy to manage projects from start to finish and possess the ability to articulate complex technical information to both technical and non-technical stakeholders.Your Responsibilities Will Include:Demonstrating a deep passion for video games and representing our players' interests.Exhibiting curiosity, problem-solving skills, and the ability to identify and pursue business needs proactively.Navigating ambiguity to iteratively refine the problem space.Owning your area of expertise throughout the project lifecycle from inception to delivery.Qualifications:A minimum of 5 years' experience in Machine Learning, Data Engineering, or a related quantitative field, with a proven history of delivering end-to-end ML products.In-depth knowledge of statistical modeling and ML techniques, including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the aptitude to choose the appropriate tools for the task.Strong background in experimental design, hypothesis testing, and model performance evaluation.Experience in building and deploying scalable ML solutions in production, preferably using Kubernetes and GCP.Proficiency in Python, Java, or Scala, focusing on writing clean, maintainable, and production-ready code, along with the ability to create optimized SQL for complex datasets.Mastery of SQL and familiarity with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet).Exceptional skills in translating complex technical concepts into understandable terms for varied audiences.

At OneStudyTeam, a subsidiary of Reify Health, we are dedicated to accelerating the pace of clinical trials and enhancing the approval rates of new therapies, ultimately aiming to uplift patient outcomes. Our innovative cloud-based platform, StudyTeam, digitizes research site workflows, enabling effective collaboration among sites, sponsors, and crucial stakeholders. Trusted by leading global biopharmaceutical companies, our platform is utilized at over 6,000 research sites across more than 100 countries. Join us in our mission to revolutionize clinical research and elevate patient care.One mission. One team. That’s OneStudyTeam.As a Senior Machine Learning Engineer, you will be instrumental in developing state-of-the-art AI products that significantly influence the delivery of new therapies to patients. We seek a seasoned ML engineer enthusiastic about transforming cutting-edge AI research into practical, scalable solutions. You possess a knack for resolving intricate challenges, maintain a sharp focus on detail, and strive for continuous process automation and enhancement. Your collaborative spirit shines through as you contribute both as an individual and as part of a team, demonstrating the resilience to face tough problems while remaining open to learning and adapting. Your self-motivation and discipline empower you to excel in a remote work environment, and your strong interpersonal skills foster a collegial atmosphere. As a key player in our rapidly expanding organization, you will harness AI to innovate clinical research and enhance patient care.

About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.

About SmartAsset:SmartAsset is a premier online platform dedicated to providing consumer-oriented financial information and guidance. Our mission is to empower individuals to make informed financial choices, reaching an impressive audience of over 59 million users monthly (as of January 2025) through our educational resources and personalized financial tools. To further our mission, we operate the SmartAsset Advisor Marketing Platform (AMP), which facilitates connections between consumers and fiduciary financial advisors. Our achievements include recognition on the Inc. 5000 list (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022), alongside being included in Y Combinator’s Top 100 Companies. A successful Series D funding round in 2021 raised $110 million, valuing the company at over $1 billion.*SmartAsset did not provide compensation for the aforementioned awards, aside from application and licensing fees.About the Team:The Machine Learning Engineering team is responsible for designing, building, and integrating the core platform that enables innovative capabilities for financial advisors, including features powered by generative AI. Our engineers continually enhance this platform, developing transformative applications and tools that empower financial professionals to connect more effectively with their clients and expand their businesses.About the Job:We are on the lookout for a driven and seasoned Machine Learning Engineer to join our expanding team. In this pivotal role, you will play a key part in developing and scaling essential backend systems for predictive analytics and generative AI. You will engage in the full software development lifecycle, from architectural design to deployment and maintenance, contributing significantly to our foundational infrastructure and data strategies. Collaborating closely with cross-functional teams, including LLM Engineers, Product Owners, and Data Scientists, you will help turn our vision into reality.

Become a part of phData, a forward-thinking leader in the contemporary data landscape. We collaborate with top-tier cloud data providers such as Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to offer state-of-the-art services and solutions. Our mission is to empower global organizations to tackle their most challenging data hurdles.As a remote-first global entity, phData boasts a diverse team across the United States, Latin America, and India. We value the unique culture of each of our employees, nurturing a community characterized by technological curiosity, responsibility, and trust. Despite our rapid growth, we uphold a relaxed and stimulating work atmosphere, recruiting exceptional talent while granting you the freedom to achieve impactful results.6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)Fivetran, dbt, Atlation, and AWS Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as a top workplace in the US, India, and LATAMMachine Learning Engineers at phData serve as the multifaceted experts of the machine learning domain, equipped to tackle various challenges. They are responsible for the entire lifecycle of data science models, from conceptualization using customer data to deployment in a live production environment. Additionally, they provide strategic insights on selecting appropriate technologies and solutions tailored for specific use cases.

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

Position OverviewAs a Senior Machine Learning Engineer at c-the-signs, you will play a pivotal role in the comprehensive development and deployment of large-scale language models and machine learning solutions. Your primary responsibilities will encompass data preprocessing, model training, and fine-tuning, with a distinct focus on leveraging extensive healthcare datasets. This position necessitates a deep understanding of large language models, machine learning concepts, and data engineering, along with a proven track record of handling sensitive healthcare information.Key Responsibilities Data Preprocessing: Clean, transform, and prepare intricate healthcare datasets for machine learning applications. This involves managing missing data, detecting outliers, performing feature engineering, and ensuring data normalization. You will also identify, gather, and curate pertinent industry-specific datasets for model retraining and format them appropriately for the selected LLM and training pipeline. Model Training & Fine-Tuning: Design and execute training strategies for various LLMs using comprehensive healthcare data to address specific clinical and operational challenges. You will establish and oversee the training environment, including GPU instances and necessary software, and refine pre-trained LLMs on custom datasets to meet targeted objectives. Experimenting with hyperparameters such as learning rates, batch sizes, and training epochs will be essential to optimizing model performance. Model Evaluation & Optimization: Assess model performance utilizing relevant metrics, pinpoint areas requiring enhancement, and implement strategies for optimization. Pipeline Development: Create and sustain robust, scalable data and ML pipelines for model training, inference, and deployment. Collaboration: Collaborate closely with data scientists, clinicians, and software engineers to comprehend requirements, integrate models into production systems, and uphold data privacy and security standards. Research & Development: Remain informed about the latest trends in machine learning and healthcare AI, and investigate new technologies and methodologies to strengthen our solutions. Documentation: Ensure comprehensive documentation of models, data pipelines, and experimental findings.

Are you ready to push the boundaries of what you believe you're capable of? At Coinbase, our vision is to enhance economic freedom globally. This is a grand, ambitious endeavor that challenges us to deliver our best every day as we construct the foundational onchain platform and shape the future of the global financial system.To drive our mission forward, we are in search of a unique candidate. We seek an individual who is not only passionate about our objective but also believes in the transformative power of cryptocurrency and blockchain technology to revolutionize the financial landscape. We are looking for someone eager to make a significant impact, who thrives under pressure while collaborating with a team of highly skilled professionals, and who actively seeks constructive feedback for continuous improvement. We want a problem-solver who embraces challenges head-on.Our work culture is intense and not suited for everyone. However, if you aspire to build the future alongside exceptional individuals and are ready to meet high expectations, this is the place for you.While many positions at Coinbase are remote-first, we are not solely remote. In-person engagements are expected throughout the year. We conduct team and company-wide offsites several times a year to promote collaboration, connection, and alignment. Your attendance is both expected and fully supported.We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. This team is responsible for developing the core components for feature engineering, as well as training and serving ML models at Coinbase. Our platform plays a crucial role in combating fraud, personalizing user experiences, and analyzing blockchains. You will have the opportunity to leverage your engineering expertise across various aspects of large-scale ML development, including stream processing, distributed training, and highly available online services.

Join our innovative team at Weave as a Senior Machine Learning Engineer specializing in Generative AI. In this pivotal role, you will spearhead the development and implementation of cutting-edge machine learning algorithms that drive our AI initiatives. Collaborate with cross-functional teams to enhance our product offerings and deliver exceptional AI-driven solutions.

Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Role Overview Censys is hiring a Senior Machine Learning Engineer to join its remote US team. This role focuses on building and refining machine learning models that support core technologies and products. Work closely with other skilled engineers and data professionals, contributing to projects that reach a wide range of clients. What You Will Do Design, implement, and improve machine learning algorithms Analyze complex datasets to extract insights and inform model development Collaborate with colleagues across engineering and data teams Contribute to projects that influence both internal systems and client-facing solutions Work Environment This is a fully remote position open to candidates based in the United States. The team values open communication and a collaborative approach to problem solving.

Join Flock Safety!Flock Safety is at the forefront of safety technology, empowering communities through proactive crime prevention and security solutions. Our integrated hardware and software platform connects cities, law enforcement agencies, businesses, schools, and neighborhoods, forming a nationwide public-private safety network. With the trust of over 5,000 communities and 4,500 law enforcement agencies, Flock provides real-time intelligence while upholding privacy and responsible innovation.Our team is characterized by high performance and low ego, embracing urgency, collaboration, and innovative thinking. At Flock, you'll face significant challenges, work swiftly, and continuously enhance your skills, making the experience both intense and rewarding for those eager to create a meaningful impact.With nearly $700 million in venture funding and a valuation of $7.5 billion, we are deliberately scaling our operations and seeking exceptional talent to help us achieve ambitious goals. If you prioritize teamwork, accountability, and tackling difficult problems, Flock may be the perfect fit for you.The OpportunityAs a Senior Machine Learning Engineer on our Vision Team, you will contribute to the complete machine learning model lifecycle, enabling our devices to analyze evidence like an investigator and determine strategies to reduce crime. Your expertise will be vital in enhancing model performance and mitigating model drift. We seek a candidate passionate about leveraging cutting-edge research and technology to address novel challenges in the machine learning landscape.Your Impact:Translate open-ended, real-world challenges into well-defined ML problems.Enhance existing data acquisition and model training/evaluation pipelines to generate suitable datasets and receive model feedback.Apply innovative research and technology to develop tailored solutions.Design and conduct experiments to evaluate new concepts or enhancements to existing models.Create visualization and monitoring tools to assess the quality of our data and models.Collaborate with cross-functional teams to deliver solutions that align with business and organizational objectives.Review and provide feedback on code written by fellow Machine Learning Engineers.

About OritaAt Orita, we empower leading global brands—such as Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, and Thursday Boots—by creating AI-driven customer segments that enhance marketing strategies.Our advanced algorithms enable brands to identify the right audience, the optimal time to reach out, and the preferred communication channels. By strategically engaging with prospects and customers when they are most receptive, we help brands maximize their revenue potential.In an era where customer acquisition costs are rising, enhancing customer retention and driving lifetime value is essential for sustainable growth.The RoleAs a Senior Machine Learning Engineer at Orita, your responsibilities will include:Model Development and Deployment: Design, train, and implement machine learning models that drive our marketing-focused products.Scalable ML Infrastructure: Build and maintain robust MLOps pipelines for reliable model training, serving, and monitoring in production.Experimentation and Optimization: Lead ongoing improvements through A/B testing, uplift modeling, and causal inference to enhance model efficacy.Collaboration and Mentorship: Partner with cross-functional teams, including leadership, to align on product objectives and promote best practices in machine learning and data engineering.Ideal Candidate ProfileWe encourage you to apply even if you do not meet every qualification. We are seeking a versatile engineer who is quick to learn and capable of managing projects from inception to completion.Education & Experience5+ years of professional software engineering experience, with a minimum of 3 years focused on machine learning systems.Machine Learning Proficiency: In-depth understanding of contemporary machine learning algorithms, including tree-based methods, deep learning architectures, and transformers/LLMs.Practical experience with PyTorch, TensorFlow, XGBoost, or comparable frameworks.Expertise in feature engineering techniques, including aggregations, embeddings, and sub-models.

About River Financial River Financial is building a financial institution focused on Bitcoin. The team aims to help individuals and businesses manage, save, and use Bitcoin securely and easily. River’s products support buying, selling, securing, and utilizing Bitcoin, with a vision of making Bitcoin a core part of personal savings and business balance sheets. Role Overview: Senior/Staff Machine Learning Engineer This remote position (Americas and Europe) calls for an experienced machine learning engineer to design, build, and maintain ML-driven systems. The work covers automation and decision-making for onboarding, risk, compliance, and operations. The role involves deploying machine learning models and large language models (LLMs) in production to solve real business problems. Key Technologies XGBoost PyTorch Python MLflow Postgres BigQuery About River’s Growth and Transparency River has raised over $50 million from investors including Goldcrest, Kingsway, Polychain, M13, DG, and Valor. The company values transparency and shares key information publicly. Anyone can review financials and proof of reserves to independently verify River’s business health and growth.

About Wallarm Wallarm, founded in 2016, focuses on protecting the internet’s essential APIs. Over 200 organizations worldwide, from early-stage startups to Fortune 500 and Nasdaq-listed companies, trust our platform for API security. Our technology helps teams map their attack surface, defend against modern threats, and respond quickly to incidents. Backed by Y Combinator and recently supported by $55M in Series C funding, Wallarm is growing a remote-first team of more than 150 people to address new security challenges. Role Overview This is a senior machine learning engineering position, fully remote. Wallarm is building new ML-powered detection systems to protect APIs from automated threats like credential stuffing, scraping, enumeration, and other evolving attack tactics. The project is greenfield: we have the data and ideas, but the ML infrastructure, pipelines, and models will be built from scratch. What You’ll Do Design and implement machine learning infrastructure and pipelines for API threat detection Develop models to identify and stop automated abuses targeting APIs Work closely with engineers, security researchers, and DevOps specialists to shape the ML direction Serve as the first dedicated ML engineer, with a clear path toward technical leadership as the team grows Location This is a remote position. Wallarm supports a globally distributed team.

At Affirm, we are reshaping the landscape of credit by making it transparent and consumer-friendly, allowing individuals the freedom to buy now and pay later without hidden fees or accumulating interest.Join our dynamic team as a Senior Staff Machine Learning Engineer and play a crucial role in the evolution of our innovative ML team. Our commitment is to Affirm's mission of transforming financial services with a focus on transparency and inclusivity. We harness cutting-edge machine learning techniques to deliver responsible and accessible financial products.In this influential role, you will shape the future of machine learning at Affirm. Collaborating with ML Platform, engineering, product, and risk leaders, you will design, implement, and scale advanced modeling approaches that inform critical decisions within the organization. Your expertise will elevate our modeling capabilities, influence architectural directions, and ensure our systems are equipped to handle increasingly complex workloads. As a mentor to senior engineers, you will clarify intricate problems and contribute to a cohesive long-term ML strategy. If you are enthusiastic about pioneering modern machine learning solutions and eager to drive impactful innovation in a growing organization, Affirm is the perfect place for you.

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.