Top Engineering Jobs
The Engineering Lead Analyst is responsible for overseeing engineering tasks involving hardware and software design and deployment, managing system upgrades, troubleshooting issues, and ensuring compliance with technology standards while mentoring junior team members.
This role involves leading Site Reliability Engineering, Platform Engineering, and Cloud Operations Engineering. Responsibilities include defining service objectives, managing capacity, optimizing costs, and enhancing overall system reliability and performance. The position also requires mentoring a team and collaborating with various stakeholders to ensure seamless product lifecycle integration.
As a Scientist II in Protein Engineering, you will work on optimizing antibodies and multispecific proteins within Absci's Drug Creation and AI teams. Your role includes designing strategies for candidate stability and manufacturability, conducting structural analyses, and coordinating with various teams to ensure high-quality protein development.
The internship program at the Wikimedia Foundation offers an immersive experience for candidates interested in software engineering. Interns will be assigned to engineering teams, working on a primary project related to open source software that impacts Wikipedia and other Wikimedia projects. They will learn on the job, gain practical experience, and connect with various departments and the wider Wikimedia community.
As an Embedded Software Engineering Intern, you will develop embedded software for new Servo Drives, working closely with full-time employees in an Agile environment. Responsibilities include implementing features, participating in design and code reviews, and developing tests under guidance from senior engineers.
The Software Engineer role involves building and scaling data pipelines, processing and ingesting large datasets, and developing ETL processes. Collaboration with various stakeholders to ensure data integrity and delivering insights is key.
The Engineering Manager will lead a growing data engineering team, enhance product systems, set high standards in code quality and reliability, oversee onboarding, collaborate with data science teams, and develop interview pipelines for recruitment.
The Data Scientist will lead and manage data projects from development to deployment, ensuring quality through testing and support. The role involves collaborating with cross-functional teams, optimizing performance, and translating business goals into technical solutions. It requires working knowledge in multiple domains to provide data-driven insights and recommendations.
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The Data Scientist will translate business goals into effective data solutions, manage end-to-end project processes including development, testing, deployment, and optimization, and collaborate with cross-functional teams to drive client value delivery.
The Data Scientist will work in a hybrid role managing projects, designing and building solutions, overseeing testing, deployment, and continuous optimization processes. Collaboration with cross-functional teams is key, as is maintaining project accountability and driving initiatives to enhance client value.
The Data Scientist will drive business solutions by collaborating with teams, managing project life cycles, and optimizing performance through strong technical and functional expertise. Responsibilities include project management from development to support, ensuring quality testing, and staying current with industry trends to enhance workflows.
The Data Scientist will translate business goals into actionable solutions while managing end-to-end project accountability including development, testing, deployment, and ongoing support. This role emphasizes collaboration within cross-functional teams and requires a proactive, self-starting approach to drive projects forward and integrate new ideas.
The Data Scientist will translate business goals into solutions, collaborating with cross-functional teams, leading project management through development, testing, deployment, and optimization. Responsibilities include end-to-end accountability for projects, ensuring quality and continuous improvement, while providing technical advice and coordinating stakeholder communications.
The Data Scientist role involves translating business goals into data-driven solutions, managing projects throughout their life cycle, working collaboratively with various teams, and providing ongoing support and optimization of solutions. The candidate should have a proactive attitude, experience in agile environments, and the ability to communicate effectively across teams.
As a Data Analyst, you will partner with clients to shape business and data strategy by applying analytical frameworks to solve business problems. You'll perform data analysis, data mining, and predictive modeling while collaborating with various teams to implement data-driven processes and solutions.
As a Data Analyst, you will collaborate with clients to develop business and data strategies. Your role involves performing analyses, data mining, predictive modeling, and applying statistics to solve business challenges, while working closely with cross-functional teams to enable data-driven decisions.
As a Data Analyst at DEPT®, you will work with clients to shape business and data strategies by applying analytical frameworks. Your role involves performing data analysis, mining, and modeling, while collaborating with product managers, engineers, and marketing teams to implement data-driven processes.
The Data Analyst will collaborate with clients to shape business and data strategies, applying analytical techniques and quantitative frameworks to solve business problems. Responsibilities include performing analysis, data mining, and predictive modeling while working closely with various teams to execute data-driven projects.
The Data Analyst will work closely with clients to shape their business and data strategy, applying a quantitative framework to analyze business problems through data mining, predictive modeling, and applied statistics. Responsibilities include collaborating with Product Managers and Engineers, presenting analytical findings, and participating in technical design of systems and data pipelines.
The Data Analyst will partner with clients to shape business and data strategies, performing analysis, data mining, and predictive modeling. They will present findings to various teams, helping to execute data-driven processes while realigning expectations when necessary.
The Data Analyst will work with clients to develop business and data strategies by performing quantitative analyses, data mining, and predictive modeling. They will collaborate with various teams to execute data-driven processes, managing project expectations and priorities while offering technical guidance.
The Systems Integration Engineer will design and develop hardware signal chains for research and prototypes, build PCBs, and collaborate with engineers for automated data collection using Python and Matlab. The role encourages skill expansion into embedded software and AI/ML.
As a Senior Software Engineer focused on Engineering Productivity, you'll enhance Nuro's engineering processes by identifying inefficiencies, developing new tools, and building scalable infrastructure. You will collaborate across teams to improve engineering velocity and educate developers on best practices, utilizing advanced techniques and Generative AI to elevate productivity.
The Software Engineering SMTS Key Management role involves designing, implementing, testing, and delivering key management software products. Responsibilities include project planning, code reviews, team mentorship, and ensuring operational excellence through DevOps practices.
Seeking a Sr. Manager of Software Engineering for leading and collaborating with outstanding developers in a collaborative environment. Responsibilities include driving feature delivery, making critical decisions, being proactive in issue resolution, managing stand-ups, providing technical guidance, and maintaining team morale.
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