Role Description Support Alight’s Generative AI roadmap as an NLP Engineer by designing capabilities and solutions using LLMs and transformer-based architectures. Responsibilities - Evaluate base search appliance configurations and assess their impact on search results. - Review and test the latest Large Language Models and develop capabilities using LLM endpoints. - Design and implement new capabilities and configurations in the OpenSearch environment. - Identify opportunities to improve search and retrieval performance based on client needs. - Provide guidance on conversational AI and related strategy. - Communicate with stakeholders to understand requirements and provide updates. - Submit and track Maestro or JIRA requests. Qualifications - 2–5 years of experience in AI technology roles focused on natural language models. - Working knowledge of process mapping and process design. - Experience with Scaled Agile (SAFe). - Strong problem-solving skills with the ability to align business objectives with data insights. - Completion of a program of study typically requiring four years of post-secondary education or equivalent. Requirements - Alight requires all virtual interviews to be conducted on video. Benefits - Programs and plans for a healthy mind, body, wallet, and life. - Variety of health coverage options. - Wellbeing and support programs. - Retirement plans. - Vacation and sick leave. - Maternity, paternity & adoption leave. - Continuing education and training. - Several voluntary benefit options.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Quantitative Biology Expert Type: Contract Compensation: $85–$95/hour Location: Remote Commitment: 20 hours/week Role Responsibilities - Author and review technical tasks to evaluate AI model performance on quantitative biology problems. - Produce original problem sets grounded in: - sequence alignments - phylogenetic trees - expression heatmaps - pathway figures - Write reference solutions and apply structured quality checks to ensure task accuracy. - Collaborate with AI research teams to improve training data quality and downstream performance. - Work independently and asynchronously with a flexible schedule to meet deadlines. Qualifications - Must-Have: - PhD in Computational Biology, Bioinformatics, or Quantitative Biology; or - MS in Bioinformatics or Computational Biology with 3+ years applied research or industry experience; or - BS in Biology, CS, or Math with 5+ years applied quantitative biology or bioinformatics experience. - Working fluency in at least two of: - sequence analysis - phylogenetics - systems biology - statistical genetics - computational modeling - Comfortable reading and interpreting: - sequence alignments - phylogenetic trees - expression heatmaps - pathway figures - Clear technical writing; able to articulate reasoning step-by-step in written form. Requirements - Hourly contractor - Paid weekly Application Process - Upload resume - AI interview based on your resume - Submit form For details about the interview process and platform information, please check: Interview Process For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description As a Computational Geometry Engineer at Atomic, you’ll develop the software infrastructure that transforms raw part designs into simulation-ready, manufacturable, and fabrication-driven representations. You’ll build tools to analyze, manipulate, and reason about complex 3D models, ensuring they’re robust enough to drive fully automated design and production systems. This role is ideal for engineers who love working at the intersection of geometry, algorithms, and real-world manufacturing. What You’ll Do - Develop algorithms to work with B-rep, mesh, and NURBS representations - Implement tools for geometric healing, simplification, conversion, and constraint enforcement - Build high-performance geometry pipelines that integrate with simulation and process planning tools - Work with both open and proprietary kernels (e.g., OpenCascade, Parasolid) - Design systems for feature extraction, topology classification, and manufacturability analysis - Collaborate with product, simulation, and automation teams to expose geometric logic to upstream workflows Qualifications - 5+ years of experience working with computational geometry, CAD, CAM, or graphics systems - Strong knowledge of geometric representations: B-reps, meshes, point clouds, surface/spline models - Proficiency in C++ and Python; familiarity with libraries such as OpenCascade, Parasolid, CGAL - Experience building performant systems for geometry manipulation or modeling - Ability to reason about edge cases, numerical stability, and algorithmic robustness in 3D environments Requirements - Background in manufacturing, simulation, or process automation - Experience designing geometry tooling for downstream applications like toolpath planning or FEA meshing - Familiarity with topology optimization, constraint solving, or CSG representations - Contributions to open-source geometry or CAD systems Benefits - Competitive salary and generous equity package - Full medical, dental, and vision coverage for employees and dependents - 401(k) - PTO with a 15-day minimum - Quarterly team travel to Detroit - Visa support for TN, E‑3, and O‑1 candidates - Hardware stipend and on-site prototype lab access

The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. - You will develop machine learning methods to extend our predictive and generative platform - You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools - You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models - You will analyze and integrate large-scale biological datasets - Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For - You have a PhD in a biological field and strong programming skills in Python - You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening - You have experience working with Protein or Chemical Language Models - You like to work collaboratively in a fast-paced startup environment - You are passionate about using data science to unlock the secrets of biology - You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them - You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty - You have excellent communication skills and can clearly articulate complex technical concepts Bonus Points - You have hands-on experience building AI/ML using PyTorch and Lightning - You have experience with cloud computing platforms like AWS - You have hands-on biology laboratory experience - You have contributed to peer-reviewed publications in computational biology - You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer - We encourage new and different ideas, creativity and contrarian thinking - Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you - You own your day-to-day management. What we care about is that we all hit our milestones - Competitive salary and equity in a growing, well-funded startup - Excellent medical, dental, and vision coverage