Research Associate Jobs in Sunnyvale, CA

Simular is a research-heavy technology company on a mission to achieve fully autonomous computers. We start with the brain of autonomous computers, aka. agentic AI that can use computers like a human. This is our definition of what AGI should first look like. Founded by Ang Li and Jiachen Yang, Simular harmonizes human and AI intelligence to empower humans. Based in Palo Alto, CA, Simular develops AI agents that automate mundane tasks so you can reclaim your time and energy for what truly matters. Role Description This is a full-time on-site role for an AGI Scientist located in Palo Alto, CA. The AGI Scientist will lead the development and implementation of advanced AI infrastructure, models and algorithms aimed at creating General Artificial Intelligence. Responsibilities include conducting cutting-edge research, experimenting with novel AI techniques, collaborating with cross-functional teams, integrating heavily into production and publishing high-impact findings in scientific journals. You will play a key role in shaping the future of AI to enhance productivity and innovative capabilities. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Computer Systems, or a related field Hardcore, can hack to make impossible things possible Top coder, Comfortable creating and working with large scale complex AI systems/infrastructure Comfortable with failing, and failing a lot of times

About the job: We are developing an advanced learning-model based robot designed for real-world deployment in industries such as manufacturing, warehousing, and logistics to address critical labor shortages and help businesses optimize operations. WHO ARE WE: We're looking for a highly talented Research Scientist with a deep understanding in developing and fine-tuning foundation modals, particularly in the areas of VLMs, VLAs, Vision Transformers, and multi-modal data. We're looking for someone passionate about tackling difficult AI challenges, such as enabling a learning-model robot to perform dynamic and dexterous tasks in unstructured environments. Key Responsibilities Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well. Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking. Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks. Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products. Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team. Comfortable working with sql queries and ETL logic for data ingress. Qualifications Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process. Deep understanding of computer vision, machine learning and deep learning basic concepts. Strong C++ and Python programming skills for efficient and robust code. Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc. Strong communication skills. What makes you stand out Publications on top conferences or journals such as CVPR, NeurIPS, ICCV, TPAMI, TRO, etc. Demonstrated proficiency in tackling robotics and computer vision challenges within at least two of the following domains: multi-sensor feature extraction and fusion, object detection and tracking, 3D Estimation, and embodied AI with Transformer based models. Familiarity with edge-device perception stack deployment, experience with NVIDIA software libraries such as CUDA or TensorRT. Open source project contributor. Experience with GCP or AWS, Kubernetes and Docker.

Job Title: Chief Scientist - Foundation Models Salary: $280K - $350K + Equity A high-growth AI startup with strong backing from top-tier investors is hiring a Chief Scientist to lead their foundation model research and development. The company builds cutting-edge generative AI SaaS products, serving millions of users. In this role, you will lead and grow a team focused on training large-scale models for image, video, and multimodal generation. You'll take over the Pre-training model development currently overseen by the CEO, with full ownership of pre-training strategies and research direction. Ideal candidates will have published at top-tier conferences (e.g., CVPR, ICML, SIGGRAPH), hold a PhD in AI or related fields, and bring deep hands-on experience in pre-training foundational models at scale. Requirements: 4-5+ years of experience building and pre-training foundation models Strong background in large-scale model training Prior publications at top conferences (e.g., CVPR, SIGGRAPH, ICML, NeurIPS) Proven leadership experience; ability to hire and scale a high-impact research team Deep technical expertise in image, video, or 3D generation PhD in Computer Science, Machine Learning, or a related discipline Ability to work closely with leadership in a fast-paced, product-oriented environment Benefits: Highly competitive salary and equity Medical, Dental, and Vision Insurance Paid Time Off and Parental Leave Occasional team offsites and meetups High agency and ownership over research direction Ground-floor opportunity with a product already in use by millions If you're passionate about foundational research and ready to drive the next generation of generative AI models, apply today!

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • You Will Benefit From Our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit LinkedIn Benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Why Join Inworld Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Inworld is the leading AI engine for games and interactive media. Inworld's suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA. We are seeking Staff and Principal level AI Researchers with extensive experience in researching, designing, and implementing machine learning models and algorithms. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your work will involve exploring novel ideas, training large-scale models, and collaborating closely with other researchers and engineers to push the boundaries of what's possible in AI. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field. Strong background in machine learning research, demonstrated by publications or significant contributions to the field. Experience in training large models and working with state-of-the-art approaches in machine learning. Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques. Programming skills in Python or similar languages. Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc., is a significant plus. You May Be a Good Fit If You Have Have a track record of innovating and improving machine learning algorithms. Are passionate about understanding and developing model architectures, and enjoy performing careful empirical research. Own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-term projects. Enjoy collaborating in a team environment, working together to make significant discoveries. Are excited about staying up-to-date with the latest advancements in machine learning research and its applications. View research and engineering as two sides of the same coin, engaging in both to achieve your goals. Responsibilities Conduct cutting-edge research to advance our AI models and capabilities. Develop and implement novel machine learning techniques, experimenting with new architectures and algorithms. Train and evaluate large-scale ML models, optimizing for quality, latency and cost. Collaborate with cross-functional teams, sharing insights and integrating research findings into our products. Communicate results internally and publicly, contributing to the broader AI community. Mentor junior researchers and engineers, fostering a culture of learning and collaboration. Representative Projects Exploring the impact of new attention mechanisms within transformer architectures to improve model quality and latency. Investigating methods for 3D animation synthesis by performing ablation study to thoroughly compare diffusion vs flow-matching based approaches. Developing algorithms for on-device AI, optimizing transformer-based models for specific hardware constraints. Researching and implementing techniques for creating new AI voices, enabling developers to generate and use them at runtime. In-office location: Mountain View, CA, United States. The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

Senior Decision Scientist Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Role Overview: We are seeking a Senior Decision Scientist to play a vital role in providing best in class analytics delivery services. In this role, you will have hands on involvement in project management, business interpretation, application of solutions, client communication and insights/results delivery within the product sales and analytics space. Successful candidates must have strong expertise in Tableau and SQL and will utilize a combination of data engineering, analytics, dashboarding, presentation development, and storytelling to generate actionable insights to help improve the customer experience across digital journeys. As the solution owner of the project(s), you will serve as the single point of contact for cross-functional teams and be responsible for successful project delivery. Additionally, you will collaborate with your team and peers to develop resourcing plans, manage revenue goals, and contribute to new business development. Key Responsibilities: Project Delivery: Being hands-on and Lead analytics delivery, guiding the team in data synthesis, modeling techniques, deriving actionable insights and helping them apply analytical techniques and frameworks. Measure client impact using metrics like NPS, innovative solutions, and KPI improvements. Make sure that all project deliverables are completed on schedule and in accordance with client's needs and expectations; and meet all compliance and regulatory requirements. Monitor project progress and handle any issues that arise. Ensure projects are delivered on time, within scope, and within budget. Talent Management: Lead a motivated team, encouraging capability development through learning and knowledge sharing. Attract, retain, and develop high-caliber talent. Client Engagement: Service Quality Assurance Communication and Reporting Support Client Relationship Management Collaboration: Work with sales, marketing, capability teams, and enabling functions to deliver higher value to clients. Participate in the sales process to scope client needs and develop solution approaches. Thought Leadership: Contribute to practice development through thought leadership and scalable solutions for business problems. Operations Management: All aspects of client facing Project Management - Project Planning and Scheduling, Staffing Management, Risk Management, Quality Management, Communication Management, Performance Management, Project Closure All aspects of internal Fractal processes related to Project Management - Project Configuration and Management, Revenue Cycle Management Stakeholder Management: Communicate, influence, and manage stakeholders at all levels, resolving differences and achieving clear outcomes. Process Compliance: Ensure process compliance, documentation, and knowledge management. Successful Profile: Proven track record in successful analytics project delivery Preferred domain experience in product and sales analytics Excellent presentation skills, engaging audiences from technical to senior business stakeholders Collaborative team player, skilled in complex analysis and solution recommendations Qualifications: 8+ years of relevant work experience with analytics project(s) 4 or more years of leading analytics project(s) Champion in SQL, Python, Visualization tools like Tableau, Advanced Analytics techniques and Gen AI preferred, Agentic AI good to have. Deep understanding of one or more solution areas of Sales analytics, Product analytics, Impact measurement, and Automation. Knowledge of advanced analytics, machine learning techniques and Gen AI. Strong project/program management skills, managing multiple work streams. Excellent problem-solving, innovation, and thought leadership skills. Outstanding presentation and communication skills. Adaptability to changing business priorities in a fast-paced environment. Self-driven with a can-do attitude and appetite for rapid career growth. Master's or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional MBA degree is a plus. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 to $160,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company.In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

To further our commitment to driving the growth of S32's portfolio companies, we are looking for ML engineers who are enthusiastic about developing products and taking charge of projects from initial concept to final launch. If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities. About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Applied Scientist of Formal Methods Are you passionate about pushing the boundaries of AI and formal verification? Acceler8 Talent is looking for an Applied Scientist to join a startup team working at the intersection of automated reasoning and AI. In this role, you'll contribute to the development of cutting-edge neuro-symbolic AI systems that leverage the power of formal verification and modern machine learning techniques. As an Applied Scientist of Formal Methods, you'll design and implement innovative formal verification tools and techniques, prototype and validate neuro-symbolic reasoning approaches and develop high-performance systems based on your validated prototypes. Collaborating closely with researchers and engineers, you'll tackle complex verification challenges and make a significant impact on the future of AI-powered verification. A strong candidate will have: Strong background in formal methods and automated reasoning (e.g., SAT, SMT, model checking, logic, and automata) Proficiency in writing production-quality code in statically typed languages like C++, Rust, or Java Experience with rapid prototyping, ideally in Python Demonstrated expertise in algorithm design and implementation Exceptional problem-solving and analytical abilities Preferred Qualifications: PhD in Computer Science, Mathematics, or a related field with a focus on formal methods (or equivalent deep expertise) Experience with hardware verification languages and standards (e.g., SystemVerilog, PSL, SVA) Familiarity with modern machine learning techniques and frameworks

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

Job Details Title: Research Associate I Duration: 12+ month contract (Extendable) Notes: Candidate must have experience in the Biotech/Pharmaceutical industry This is an onsite role - only local candidates within a 30-mile radius will be considered Minimum of 2 years of industry experience is required Job Description Responsibilities are primarily carrying out animal research studies, including monitoring, dosing, and animal necropsy and organ collection. Primarily in mice, with occasional work in rats and guinea pigs. Experience in animal handling with excellent in vivo dosing techniques, such as i.v., i.p., s.c., i.n., p.o., and animal organ collection and dissection techniques. Responsibilities for this position would focus on animal studies including monitoring, dosing, and animal necropsy and organ collection. Minimum 1+ years of experience in Necroscopy. In Vivo exp (MOST IMP) Regards, Sanjay Kumar - Lead Recruiter - Staffing Aequor Technologies LLC 377 Hoes Lane, Suite 300 Piscataway, NJ 08854 Ph: ************ Ext-70781 ***********************

About the job: We are developing an advanced learning-model based robot designed for real-world deployment in industries such as manufacturing, warehousing, and logistics to address critical labor shortages and help businesses optimize operations. WHO ARE WE: We're looking for a highly talented Research Scientist with a deep understanding in developing and fine-tuning foundation modals, particularly in the areas of VLMs, VLAs, Vision Transformers, and multi-modal data. We're looking for someone passionate about tackling difficult AI challenges, such as enabling a learning-model robot to perform dynamic and dexterous tasks in unstructured environments. Key Responsibilities Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well. Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking. Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks. Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products. Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team. Comfortable working with sql queries and ETL logic for data ingress. Qualifications Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process. Deep understanding of computer vision, machine learning and deep learning basic concepts. Strong C++ and Python programming skills for efficient and robust code. Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc. Strong communication skills. What makes you stand out Publications on top conferences or journals such as CVPR, NeurIPS, ICCV, TPAMI, TRO, etc. Demonstrated proficiency in tackling robotics and computer vision challenges within at least two of the following domains: multi-sensor feature extraction and fusion, object detection and tracking, 3D Estimation, and embodied AI with Transformer based models. Familiarity with edge-device perception stack deployment, experience with NVIDIA software libraries such as CUDA or TensorRT. Open source project contributor. Experience with GCP or AWS, Kubernetes and Docker.

To further our commitment to driving the growth of S32's portfolio companies, we are looking for ML engineers who are enthusiastic about developing products and taking charge of projects from initial concept to final launch. If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities. About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Applied Scientist of Formal Methods Are you passionate about pushing the boundaries of AI and formal verification? Acceler8 Talent is looking for an Applied Scientist to join a startup team working at the intersection of automated reasoning and AI. In this role, you'll contribute to the development of cutting-edge neuro-symbolic AI systems that leverage the power of formal verification and modern machine learning techniques. As an Applied Scientist of Formal Methods, you'll design and implement innovative formal verification tools and techniques, prototype and validate neuro-symbolic reasoning approaches and develop high-performance systems based on your validated prototypes. Collaborating closely with researchers and engineers, you'll tackle complex verification challenges and make a significant impact on the future of AI-powered verification. A strong candidate will have: Strong background in formal methods and automated reasoning (e.g., SAT, SMT, model checking, logic, and automata) Proficiency in writing production-quality code in statically typed languages like C++, Rust, or Java Experience with rapid prototyping, ideally in Python Demonstrated expertise in algorithm design and implementation Exceptional problem-solving and analytical abilities Preferred Qualifications: PhD in Computer Science, Mathematics, or a related field with a focus on formal methods (or equivalent deep expertise) Experience with hardware verification languages and standards (e.g., SystemVerilog, PSL, SVA) Familiarity with modern machine learning techniques and frameworks

Senior Decision Scientist Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Role Overview: We are seeking a Senior Decision Scientist to play a vital role in providing best in class analytics delivery services. In this role, you will have hands on involvement in project management, business interpretation, application of solutions, client communication and insights/results delivery within the product sales and analytics space. Successful candidates must have strong expertise in Tableau and SQL and will utilize a combination of data engineering, analytics, dashboarding, presentation development, and storytelling to generate actionable insights to help improve the customer experience across digital journeys. As the solution owner of the project(s), you will serve as the single point of contact for cross-functional teams and be responsible for successful project delivery. Additionally, you will collaborate with your team and peers to develop resourcing plans, manage revenue goals, and contribute to new business development. Key Responsibilities: Project Delivery: Being hands-on and Lead analytics delivery, guiding the team in data synthesis, modeling techniques, deriving actionable insights and helping them apply analytical techniques and frameworks. Measure client impact using metrics like NPS, innovative solutions, and KPI improvements. Make sure that all project deliverables are completed on schedule and in accordance with client's needs and expectations; and meet all compliance and regulatory requirements. Monitor project progress and handle any issues that arise. Ensure projects are delivered on time, within scope, and within budget. Talent Management: Lead a motivated team, encouraging capability development through learning and knowledge sharing. Attract, retain, and develop high-caliber talent. Client Engagement: Service Quality Assurance Communication and Reporting Support Client Relationship Management Collaboration: Work with sales, marketing, capability teams, and enabling functions to deliver higher value to clients. Participate in the sales process to scope client needs and develop solution approaches. Thought Leadership: Contribute to practice development through thought leadership and scalable solutions for business problems. Operations Management: All aspects of client facing Project Management - Project Planning and Scheduling, Staffing Management, Risk Management, Quality Management, Communication Management, Performance Management, Project Closure All aspects of internal Fractal processes related to Project Management - Project Configuration and Management, Revenue Cycle Management Stakeholder Management: Communicate, influence, and manage stakeholders at all levels, resolving differences and achieving clear outcomes. Process Compliance: Ensure process compliance, documentation, and knowledge management. Successful Profile: Proven track record in successful analytics project delivery Preferred domain experience in product and sales analytics Excellent presentation skills, engaging audiences from technical to senior business stakeholders Collaborative team player, skilled in complex analysis and solution recommendations Qualifications: 8+ years of relevant work experience with analytics project(s) 4 or more years of leading analytics project(s) Champion in SQL, Python, Visualization tools like Tableau, Advanced Analytics techniques and Gen AI preferred, Agentic AI good to have. Deep understanding of one or more solution areas of Sales analytics, Product analytics, Impact measurement, and Automation. Knowledge of advanced analytics, machine learning techniques and Gen AI. Strong project/program management skills, managing multiple work streams. Excellent problem-solving, innovation, and thought leadership skills. Outstanding presentation and communication skills. Adaptability to changing business priorities in a fast-paced environment. Self-driven with a can-do attitude and appetite for rapid career growth. Master's or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional MBA degree is a plus. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 to $160,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company.In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

About the job: We are developing an advanced learning-model based robot designed for real-world deployment in industries such as manufacturing, warehousing, and logistics to address critical labor shortages and help businesses optimize operations. WHO ARE WE: We're looking for a highly talented Research Scientist with a deep understanding in developing and fine-tuning foundation modals, particularly in the areas of VLMs, VLAs, Vision Transformers, and multi-modal data. We're looking for someone passionate about tackling difficult AI challenges, such as enabling a learning-model robot to perform dynamic and dexterous tasks in unstructured environments. Key Responsibilities Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well. Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking. Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks. Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products. Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team. Comfortable working with sql queries and ETL logic for data ingress. Qualifications Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process. Deep understanding of computer vision, machine learning and deep learning basic concepts. Strong C++ and Python programming skills for efficient and robust code. Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc. Strong communication skills. What makes you stand out Publications on top conferences or journals such as CVPR, NeurIPS, ICCV, TPAMI, TRO, etc. Demonstrated proficiency in tackling robotics and computer vision challenges within at least two of the following domains: multi-sensor feature extraction and fusion, object detection and tracking, 3D Estimation, and embodied AI with Transformer based models. Familiarity with edge-device perception stack deployment, experience with NVIDIA software libraries such as CUDA or TensorRT. Open source project contributor. Experience with GCP or AWS, Kubernetes and Docker.

Senior Decision Scientist Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Role Overview: We are seeking a Senior Decision Scientist to play a vital role in providing best in class analytics delivery services. In this role, you will have hands on involvement in project management, business interpretation, application of solutions, client communication and insights/results delivery within the product sales and analytics space. Successful candidates must have strong expertise in Tableau and SQL and will utilize a combination of data engineering, analytics, dashboarding, presentation development, and storytelling to generate actionable insights to help improve the customer experience across digital journeys. As the solution owner of the project(s), you will serve as the single point of contact for cross-functional teams and be responsible for successful project delivery. Additionally, you will collaborate with your team and peers to develop resourcing plans, manage revenue goals, and contribute to new business development. Key Responsibilities: Project Delivery: Being hands-on and Lead analytics delivery, guiding the team in data synthesis, modeling techniques, deriving actionable insights and helping them apply analytical techniques and frameworks. Measure client impact using metrics like NPS, innovative solutions, and KPI improvements. Make sure that all project deliverables are completed on schedule and in accordance with client's needs and expectations; and meet all compliance and regulatory requirements. Monitor project progress and handle any issues that arise. Ensure projects are delivered on time, within scope, and within budget. Talent Management: Lead a motivated team, encouraging capability development through learning and knowledge sharing. Attract, retain, and develop high-caliber talent. Client Engagement: Service Quality Assurance Communication and Reporting Support Client Relationship Management Collaboration: Work with sales, marketing, capability teams, and enabling functions to deliver higher value to clients. Participate in the sales process to scope client needs and develop solution approaches. Thought Leadership: Contribute to practice development through thought leadership and scalable solutions for business problems. Operations Management: All aspects of client facing Project Management - Project Planning and Scheduling, Staffing Management, Risk Management, Quality Management, Communication Management, Performance Management, Project Closure All aspects of internal Fractal processes related to Project Management - Project Configuration and Management, Revenue Cycle Management Stakeholder Management: Communicate, influence, and manage stakeholders at all levels, resolving differences and achieving clear outcomes. Process Compliance: Ensure process compliance, documentation, and knowledge management. Successful Profile: Proven track record in successful analytics project delivery Preferred domain experience in product and sales analytics Excellent presentation skills, engaging audiences from technical to senior business stakeholders Collaborative team player, skilled in complex analysis and solution recommendations Qualifications: 8+ years of relevant work experience with analytics project(s) 4 or more years of leading analytics project(s) Champion in SQL, Python, Visualization tools like Tableau, Advanced Analytics techniques and Gen AI preferred, Agentic AI good to have. Deep understanding of one or more solution areas of Sales analytics, Product analytics, Impact measurement, and Automation. Knowledge of advanced analytics, machine learning techniques and Gen AI. Strong project/program management skills, managing multiple work streams. Excellent problem-solving, innovation, and thought leadership skills. Outstanding presentation and communication skills. Adaptability to changing business priorities in a fast-paced environment. Self-driven with a can-do attitude and appetite for rapid career growth. Master's or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional MBA degree is a plus. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 to $160,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company.In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.