Machine Learning and Data Science Engineer

At CapTech, our Machine Learning Engineers play a pivotal role in devising and executing data-centric solutions tailored to our clients' needs. With a strong emphasis on constructing and deploying scalable machine learning systems within enterprise landscapes, you will thrive in a collaborative environment. Here, you will have ample opportunities to learn an…

Join CapTech as a Lead Machine Learning and Data Science Engineer, where you will play a pivotal role in crafting and executing data-driven solutions for our diverse clientele. Your primary focus will be on designing and deploying scalable machine learning systems in enterprise settings. At CapTech, we foster a collaborative environment, providing ample opportunities to learn from and share insights with fellow analysts, architects, and our valued clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and multidisciplinary teams to develop comprehensive end-to-end machine learning solutions that address business challenges.Offer technical leadership and facilitate collaboration within and across teams to ensure alignment of technical solutions with client needs.Translate client requirements into data-driven processes, models, and analytical metrics.Analyze and process large datasets from various enterprise-level data platforms (e.g., AWS, Azure, GCP).Design, develop, and implement advanced analytical solutions utilizing client data, such as recommender systems, natural language processing, and risk assessment models.Optimize and scale machine learning systems to meet client specifications.Enhance CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.

Path Robotics is looking for a Machine Learning Engineer with a focus on robot learning and loco-manipulation. This position is based in Columbus, Ohio. Role overview This role centers on advancing the field of robotics by developing new algorithms that improve how robots move and interact with their surroundings. The work targets loco-manipulation, aiming to help robots perform complex tasks in changing environments. What you will do Work on projects designed to expand the capabilities of robotic systems. Collaborate with a team of robotics and machine learning experts. Develop and refine algorithms that enable robots to adapt and perform effectively in dynamic settings. Team and environment Join a group dedicated to pushing robotics technology forward. The team values innovation and practical results in real-world scenarios.

Shape the Future with Path RoboticsAt Path Robotics, we are pioneering the realm of embodied intelligence. Our cutting-edge AI systems empower robots to learn, adapt, and execute tasks in real-world environments, thereby addressing the skilled labor shortage and revolutionizing various industries. We transcend conventional methodologies by merging perception, reasoning, and control, resulting in AI that is aware of risks, dependable, and consistently enhances its performance through practical application.Every day, we tackle significant challenges, and our team—comprising intelligent, humble, and motivated individuals—collaborates to turn the seemingly impossible into reality.In the manufacturing sector, exceptional performance, reliability, and adaptability are paramount. Processes such as welding entail rapid, intricate, and poorly understood physics that traditional simulators often fail to accurately replicate, particularly when faced with the complexities of real-world conditions.Our aim is to develop intelligent robotic systems that learn directly from data through the integration of neural world models and reinforcement learning. We strive to empower robots to learn, predict, and plan within intricate manufacturing settings by either replacing or enhancing classical physics simulators with fast, high-fidelity learned alternatives.We are on the lookout for a Senior Machine Learning Engineer to spearhead the creation of a neural welding simulator—an advanced world model that effectively captures the visual and physical dynamics of welding processes, enabling extensive reinforcement learning training. This pivotal position resides at the crossroads of generative modeling, robotics, and applied physics. It is inherently research-focused while still being rooted in practical production realities.This opportunity can be based at our Columbus, Ohio headquarters or be remote.

Path Robotics is looking for a Senior Machine Learning Engineer (Tech Lead) focused on Robot Learning and Loco-Manipulation. This position can be based in Columbus, Ohio or performed remotely. Role overview This role centers on leading projects that apply advanced machine learning to robotic manipulation tasks. The work involves designing and guiding the development of systems that help robots learn and adapt as they perform complex actions. What you will do Lead technical efforts in robot learning and loco-manipulation Develop and refine machine learning approaches for real-time robotic adaptation Drive projects that improve how robots handle manipulation challenges Key focus areas Machine learning for robotics Real-time adaptation in robotic systems Innovative solutions for manipulation tasks

Pioneering the Future of Robotics At Path Robotics, we are at the forefront of embodied intelligence development. Our cutting-edge AI systems empower robots to learn, adapt, and operate effectively in real-world settings, addressing the skilled labor shortage while revolutionizing various industries. We transcend conventional methodologies by merging perception, reasoning, and control, delivering AI solutions that are risk-aware, dependable, and perpetually evolving through hands-on experience. We tackle significant challenges daily, supported by a team of intelligent, humble, and motivated individuals who collaborate to transform the impossible into reality. We are on the lookout for a talented and enthusiastic Machine Learning Engineer with a strong foundation in modern robotics and manipulation. This individual will be a vital member of our Robot Learning team, focused on creating agentic AI systems tailored for industrial applications. The ideal candidate will possess substantial experience in robotics, particularly in developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. This position requires close collaboration with cross-functional teams to devise, test, and deploy innovative solutions that enhance the efficacy and capabilities of our robotic systems.

Join usm2 as a Data Scientist and contribute to data-driven decision-making processes that drive innovation and efficiency within our organization. As a Data Scientist, you will analyze complex datasets, develop predictive models, and provide actionable insights to various stakeholders.

impact.com is a leading platform in commerce partnership marketing. The company helps brands discover, manage, and scale partnerships across the customer lifecycle. Their products bring together affiliates, influencers, content publishers, and brand advocates into a single system. Over 5,000 brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, use impact.com to manage more than 350,000 partnerships worldwide. Learn more about impact.com. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group in Columbus, OH. This position focuses on designing and deploying machine learning models that optimize yield, pricing, and inventory allocation at scale. The work sits at the intersection of data science, platform engineering, and marketplace economics. What you will do Design and implement machine learning models to improve yield, pricing, and inventory allocation in a large-scale programmatic marketplace. Architect data pipelines and engineer features that drive platform performance. Deploy real-time inference systems that enable rapid decision-making. Work across the entire model lifecycle, from initial architecture through deployment. Collaborate with Product, Data Science, and Programmatic Delivery Engine Engineering teams. How you will work Take ownership of projects with a high level of craftsmanship and autonomy. Balance analytical rigor with practical engineering instincts. Contribute directly to aligning advertiser performance with publisher monetization in the programmatic marketplace. Collaboration This role involves close partnership with cross-functional teams, including Product, Data Science, and Engineering. Significant autonomy is expected, along with a genuine interest in both data science and machine learning engineering.

Join Path RoboticsAt Path Robotics, we are transforming the landscape of autonomous welding. Our innovative AI-driven robotic welding systems leverage advanced sensing and computer vision technologies to adapt in real time — eliminating the need for fixtures, programming, and operational limits. Join us in shaping the future of manufacturing as we seek passionate engineers eager to dive into hands-on work.Your RoleWe are in search of a Software Engineer to develop and sustain the infrastructure that underpins our AI and machine learning workflows. This position acts as a vital link between our AI research team and production — crafting the tools, pipelines, and deployment systems necessary to transition models from experimental stages to the factory floor. Ideal candidates are system thinkers fluent in ML, capable of understanding researchers' needs and constructing reliable software solutions around them.Your ResponsibilitiesDesign and maintain the software infrastructure that supports robotic learning, encompassing model training, experiment tracking, version control, and deployment.Create pipelines and tools for the collection, processing, and curation of extensive robotic sensor and telemetry data.Facilitate the deployment of AI models onto robotic systems, including simulation, hardware integration, runtime monitoring, and feedback loops derived from field data.Develop internal tools that expedite AI engineering workflows related to dataset exploration, testing, evaluation, and productionization.Collaborate closely with AI researchers and robotics engineers to translate model requirements into robust, scalable software systems.Your Profile3–6 years of experience in software engineering, with strong exposure to ML infrastructure, MLOps, or AI systems.Proficient in writing production-level software in Python, with additional familiarity in C++, ROS, or robotics software stacks preferred.Experience with PyTorch and a solid grasp of the software systems necessary for AI model development.Comfortable working with data pipelines, simulation environments, containerized workflows, and GPU computing within Linux environments.Enthusiastic about collaborating across AI and robotics domains.

Join ibility as a Data Analytics Associate Fellow, where you will engage in a dynamic learning environment, honing your analytical skills to derive actionable insights from data. This fellowship is designed for individuals looking to kickstart their career in data analytics, providing hands-on experience and mentorship from industry experts.

As a Cloud Data Engineer at CapTech Consulting, you will empower our clients to create and sustain sophisticated data systems that integrate data from various sources, enabling informed decision-making. You will design and implement data pipelines, preparing data for utilization by data scientists, analysts, and other data systems. Our team thrives on solving challenges and crafting innovative solutions for our clients. Leveraging cloud infrastructure, you will deliver immediate value while ensuring scalability for future needs. We foster a collaborative environment with ample opportunities to learn from and exchange insights with fellow developers, architects, and clients.Key Responsibilities:Designing and developing data pipelines and products utilizing Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Providing expert guidance to clients on the optimal technologies and methodologies for efficiently ingesting and processing data in the cloud.Employing engineering best practices to tackle complex data challenges.Collaborating with end-users, development teams, and business analysts to ensure data architecture plans deliver maximum value across the organization.Communicating the differences and trade-offs between various architectural solutions.

Role overview Path Robotics is hiring a Senior Data Engineer in Columbus, Ohio. This role focuses on building and refining the data architecture that supports the company’s robotic solutions. The Senior Data Engineer will work closely with teams from different disciplines to design reliable data pipelines and maintain data accuracy throughout various platforms.

As a Senior Data Engineer at CapTech Consulting, you will play a pivotal role in empowering our clients to construct and sustain sophisticated data architectures that integrate information from various sources, facilitating informed decision-making. Our team excels at crafting data pipelines and preparing datasets for utilization by data scientists, analysts, and other data professionals. We are passionate about solving intricate challenges and delivering innovative solutions tailored to our clients' needs. Leveraging cloud infrastructures like AWS, Azure, and GCP, our engineers provide immediate value while ensuring scalability for future growth. Our collaborative culture fosters continuous learning and knowledge sharing among developers, architects, and clients.Your Impact:Act as a trusted advisor, guiding clients on best practices, methodologies, and technologies to implement effective data engineering solutions.Design, implement, and maintain cutting-edge data pipelines utilizing the most suitable cloud technologies.Collaborate with product owners and subject matter experts to analyze client requirements and deliver sustainable, engineered solutions.Provide technical leadership, working with cross-functional teams to align technical solutions with client objectives.Keep abreast of the latest advancements in cloud technology, patterns, and methodologies; share insights and findings with key stakeholders.

Speechify’s mission is to remove reading as a barrier to learning. Over 50 million people use our text-to-speech tools to turn books, PDFs, Google Docs, news, and websites into audio. Our products include iOS and Android apps, a Mac app, a Chrome extension, and a web app. Speechify has earned recognition from Google as Chrome Extension of the Year and received Apple’s 2025 Design Award for Inclusivity. Our fully distributed team includes nearly 200 professionals, from engineers to AI researchers, with backgrounds at Amazon, Microsoft, Google, Stripe, Vercel, and Bolt. Collaboration happens across time zones and continents. Role Overview This Software Engineer, Data Infrastructure & Acquisition role sits within the AI team. The focus: oversee data collection and infrastructure to support model training. The team builds large, high-quality datasets at petabyte scale while keeping costs low. The work blends infrastructure, engineering, and research. Candidates who care deeply about data engineering and AI will find meaningful challenges here. What You Will Do Find and evaluate new audio data sources, then integrate them into the ingestion pipeline. Maintain and scale cloud infrastructure for data ingestion, using GCP and Terraform. Work with scientists to balance cost, throughput, and data quality, delivering better datasets for model development. Partner with the AI team and leadership to shape a dataset roadmap for future Speechify products. What We Look For Bachelor’s, Master’s, or PhD in Computer Science or a related field. At least 5 years of software development experience. Strong skills in bash and Python scripting in Linux environments. Hands-on experience with Docker and Infrastructure-as-Code (such as Terraform), plus experience with a major cloud provider (GCP preferred). Familiarity with web crawlers and large-scale data processing is a plus. Comfort managing multiple priorities and shifting demands. Clear communication skills, both written and spoken. Location: Columbus, OH, USA (remote team, distributed worldwide).

Join a vibrant team at Baesman Group, a family-owned marketing firm that thrives on innovation and creativity. We are seeking enthusiastic individuals for the position of Machine Operator on our 3rd shift. In this pivotal role, you will operate machinery in the finishing operations area, ensuring that production speeds are met, quality standards are upheld, and company protocols are followed. Your contribution is essential to the smooth operation and success of our production processes.At Baesman, we foster a familial atmosphere where growth and opportunity are abundant. As a fourth-generation business, we are committed to cultivating talent and promoting from within. We believe in the potential of our teammates and aim to help everyone achieve more than they ever thought possible.

The future of artificial intelligence — whether in training or evaluation, classical machine learning or agentic workflows — begins with exceptional data.At HumanSignal, we are developing a pioneering platform that facilitates the creation, curation, and assessment of this critical data. Our tools enable leading AI teams to fine-tune foundational models and validate agent behaviors in production, ensuring that models are based on real-world signals rather than mere noise.Our open-source product, Label Studio, has emerged as the de facto standard for data labeling and evaluation across various modalities including text, images, time series, and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it is the most widely adopted open-source solution for teams engaged in building AI systems.Label Studio Enterprise enhances this momentum by providing the security, collaboration, and scalability features essential for supporting mission-critical AI pipelines — from model training datasets to evaluation test sets and continuous feedback loops. We began our journey before foundational models became mainstream, and we are intensifying our efforts now that AI is transforming the world. If you're passionate about assisting leading AI teams in building smarter, more precise systems, we want to hear from you.About UsHumanSignal develops Label Studio Enterprise, the trusted data annotation platform utilized by Fortune 500 companies like Apple. We are expanding our team at our Columbus facility, which currently has over 400 members, and we are seeking engineering talent to help create systems that power AI training pipelines.What You’ll BuildFull-stack web applications for crowdsourced data collection with integrated quality control workflowsAdmin dashboards featuring bulk operations, analytics, and workflow managementData pipelines that integrate Label Studio, AWS S3, and automated quality checksJSON transformation systems that handle thousands of annotation files for enterprise clients

Join KIPP as a dedicated High School Science Teacher for the 2026-2027 academic year. Inspire and empower students by delivering engaging science lessons that foster curiosity and a love for learning. Collaborate with a dynamic team and contribute to a culture of excellence and inclusivity.

Join us at usm2 as we seek a talented Data Architect and Data Modeler to contribute to our dynamic team. This role is essential for designing, implementing, and optimizing data architecture frameworks that bolster our data management capabilities. If you have a passion for data and a knack for innovative solutions, we want to hear from you!

Lifted, part of Upwork, is hiring an Enrollment Administrator in Columbus to support customers in the Learning and Development field. This role centers on helping clients navigate the enrollment process and ensuring their questions are answered promptly and professionally. Key responsibilities Guide clients step by step as they enroll in learning and development programs Address questions and resolve issues with a professional and helpful attitude Provide timely, clear support to make enrollment as smooth as possible Requirements Strong communication skills and a commitment to customer service Ability to manage several client requests at once without losing focus Professional approach to solving problems and interacting with clients

DescriptionVerista is home to a team of over 500 experts collaborating with some of the most recognized names in the life sciences sector. Our mission is to foster growth and innovation within the scientific community, assisting researchers, organizations, and companies in addressing the world's most urgent healthcare issues. With a focus on providing cutting-edge solutions and services, Verista is committed to empowering informed decision-making through our substantial investment in our people and capabilities.Our growth is propelled by exceptional professionals who excel in a collaborative environment and share our dedication to enhancing the lives of our life sciences clients. Our talented and devoted team members are passionate about making a positive impact every day.Company Culture Guidelines & Values:We empower and support our colleagues.We commit to client success at every turn.We have the courage to do the right thing.We promote an inclusive environment where our colleagues feel respected, engaged, and challenged.We continually acquire new skills and learn from our experiences to enhance our collective expertise.CQV Engineer Responsibilities:Crafting, revising, and executing technical documentation related to commissioning, qualification, and validation for standard equipment, systems, software, and processes as directed by the project leader.Executing test scripts and recording the outcomes.Ensuring adherence to project timelines for all assigned tasks.Maintaining comprehensive and detailed records for qualification and validation processes.Collaborating with the team to document impact and risk assessments.Conducting user interface testing, software verification, and comprehensive alarm testing on automated systems.Formulating, reviewing, and executing testing documentation.Recommending design or process modifications based on test results during script execution.Possessing a general understanding of capital equipment implementation and process knowledge.Familiarity with validation documents, including URS, IQ, OQ, and PQ.