Top Entry Level Artificial Intelligence Jobs

Design and rapidly iterate high-performing paid social creative for Meta, Instagram, and other channels. Create statics, carousels, short-form video clips, and multiple variations based on performance insights. Monitor Meta Ads Manager, analyze competitors and trends, and use data to guide creative decisions. Partner with founders and marketing teams on messaging and testing, own execution from concept through launch, and build reusable templates and winning ad formats.

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build Sphere’s outbound sales engine by researching target accounts, prospecting senior finance leaders, creating pipeline across phone, email, LinkedIn, and events, and partnering with Account Executives on strategy and qualification. The role includes exposure to discovery, demos, negotiation, and closing, with increasing ownership and a path toward an Account Executive position. The SDR will also experiment with messaging and help create the company’s outbound playbook.

Build, align, integrate, and characterize optical subsystems and laboratory setups. Perform optical alignment, system validation, testing, troubleshooting, data analysis, and failure investigations. Develop Python-based automation and analysis tools, support sensor prototyping and manufacturing-process validation, document results, and collaborate with electrical, firmware, DSP, software, and mechanical engineering teams.

Lead AI engineering efforts from model development through production deployment. Optimize inference latency, throughput, GPU utilization, quantization, and serving costs; design evaluation systems and data flywheels using user feedback. Apply LLMs and multimodal models to video understanding, curation, ranking, personalization, and editing. Set technical roadmaps, review architecture, mentor engineers, manage a small AI team, and balance quality, reliability, latency, and infrastructure cost.

Conduct PhD-level research combining fluid dynamics, multiscale physics, and machine learning for materials discovery and manufacturing. Develop physics-informed, autodifferentiable architectures that replace computationally intensive forward solvers, parameterize unresolved physics, and scale SciML frameworks. Residents may work with laboratory instrumentation and physical experimentation, applying methods such as PINNs and Neural Operators to complex systems including turbulence, multiphase flow, and inverse design.

Build customer-facing backend features using Django, optimize application performance, reduce technical debt, and collaborate closely with teammates. The role requires Python web development, computer science and algorithm fundamentals, strong research and debugging abilities, sound technical judgment, and ownership of work from development through delivery. This is an in-person position in Kitchener-Waterloo, New York, or San Francisco, with authorization to work in the US or Canada and ability to travel between both countries.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Design and support electromechanical components and systems for medical imaging equipment, including surgical tables, C-arms, motion systems, structural assemblies, and tooling. Create SolidWorks models, drawings, BOMs, and manufacturing documentation; perform structural analysis; apply DFM/DFA, tolerance analysis, and GD&T. Collaborate with manufacturing, quality, electrical, software, and suppliers through prototyping, testing, design release, troubleshooting, and engineering changes.

Performs functional testing, silicon screening, and debugging of embedded hardware and software. Develops C/C++ firmware, drivers, and Python-based test automation; establishes testing platforms for chips, PCBs, and packaged devices; analyzes signal integrity, noise, power, and interface issues; documents results and defects; reproduces problems; and collaborates with hardware and design teams. The role also supports demonstrations and hardware development.