Perception Encoder Meta, AI Jobs in Usa

Key Responsibilities:

• Design and deploy observability frameworks leveraging tools such as Grafana, Dynatrace, Prometheus, ELK, Splunk, etc. Define best practices for monitoring, alerting, and visualization across hybrid and multi-cloud environments.
• Develop strategies for monitoring KPIs tied to business outcomes (e.g., sales performance, supply chain efficiency, customer experience).
• Collaborate with business and IT teams to identify key metrics and integrate them into dashboards and alerting systems.
• Implement AIOps solutions using industry-leading platforms like OpenAI, AWS Bedrock, Google Gemini, Anthropic, and similar technologies.
• Develop predictive analytics and anomaly detection models to proactively identify and resolve operational issues.
• Integrate observability tools with ITSM platforms and automation workflows. Enable automated root cause analysis and remediation using AI/ML models.
• Provide observability strategies for infrastructure (servers, storage, cloud), applications (microservices, APIs), and networks (LAN/WAN, SD-WAN). Collaborate with DevOps, SRE, and IT operations teams to ensure end-to-end visibility and reliability.
• Establish observability standards, KPIs, and SLAs for performance and availability. Ensure compliance with security and regulatory requirements in monitoring solutions.
• Develop scalable architecture using LLMs, agentic frameworks, and multi-modal AI technologies.
• Build AI-powered analytics platforms for IT operations analysis, anomaly detection, and predictive insights.
• Architect and deploy intelligent chatbots for IT support and self-service capabilities.
• Integrate AI solutions with existing IT operations tools and workflows.
• Implement automated remediation and root cause analysis using AI/ML models.

Qualifications:

• 10-13 years of relevant experience
• Hands-on experience with Grafana, Dynatrace, and other monitoring platforms.
• Practical experience implementing AI-based solutions for anomaly detection, predictive maintenance, and automated remediation. Familiarity with OpenAI, Bedrock, Gemini, Anthropic, or similar AI platforms.
• Strong understanding of infrastructure, application architectures, and networking. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Proficiency in Python, Bash, or similar scripting languages for automation and integration.
• Strong experience with LLMs (OpenAI, Anthropic, Gemini, Bedrock) and agentic AI solutions.
• Hands-on experience in designing AI architectures for enterprise IT environments.
• Proficiency in Python or similar languages for AI model integration and automation.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

We're hiring an AI Conversation Designer

Sci-Rec are currently partnering with a fast-growing AI SaaS company transforming behavioral health.

This isn't just about building chatbots. It's about designing AI that navigates some of the most sensitive, high-stakes conversations in healthcare.

You'll be the bridge between human psychology and LLMs,crafting the voice, logic, and flow of AI agents that genuinely help people at their most vulnerable.

What you'll be doing: Designing dialogue flows for complex clinical workflows. Building the behavioral logic that keeps AI empathetic under pressure. Turning interaction data into sharper, more human conversations.

You're the right fit if you: Have 4+ years in conversation design, UX, or HCI with an LLM/agentic AI focus Obsess over the nuance of language Thrive in fast-moving, ambiguous environments Know your way around model constraints, temperature, and prompt logic

Bonus points for a background in linguistics, cognitive science, or psychology.

Early-stage. Meaningful equity. Genuinely important work.

**Federal Project - Applicant must be a United States Citizen**

Baer is looking for Platform Developer for a 12 months Federal Project located in Herndon, VA.

Title: Platform Developer

Location: Hybrid - Herndon, VA (Mon-Thur)

Duration: 12 months

Rate: All-inclusive

Alignment: W2 or C2C

Role Overview

We are looking for a skilled AI Platform Developer with experience in building and supporting AI/ML solutions. The ideal candidate should have strong programming skills, hands-on experience with machine learning frameworks, and experience deploying AI models in cloud environments.

Key Responsibilities

• Develop, test, and deploy machine learning and deep learning models.
• Build and maintain scalable AI platform components and pipelines.
• Perform data acquisition, preprocessing, feature engineering, and analysis.
• Collaborate with data scientists and engineering teams to integrate AI solutions into applications.
• Support model deployment, monitoring, and optimization using MLOps best practices.
• Work with large datasets using big data tools and distributed systems.

Required Qualifications

• 5+ years of experience in building and supporting AI/ML solutions
• Strong programming skills in Python (knowledge of R, Java, or C++ is a plus).
• Good understanding of Machine Learning and Deep Learning, including supervised, unsupervised, and reinforcement learning techniques.
• Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with data processing, SQL and NoSQL databases.
• Familiarity with Apache Spark and large-scale data processing.
• Solid foundation in mathematics and statistics (linear algebra, probability, calculus).

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

Ares Management Corporation (\"Ares\" or the \"Firm\") is a publicly traded, leading global alternative asset manager with approximately $572 billion of assets under management (\"AUM\") and approximately 4,100 employees. We seek to deliver attractive returns across each of our strategies and believe our investment groups are market leaders based on assets under management and investment performance. Our distinct but complementary teams have the ability to invest across a company's capital structure, from senior debt to common equity. The Firm was built upon the fundamental principle that each group benefits from being part of the broader platform. We believe the synergies from this multi-asset strategy provides our professionals with insights into industry trends, access to significant deal flow and the ability to assess relative value.

Since our inception in 1997, we have adhered to a disciplined investment philosophy that focuses on delivering compelling risk-adjusted investment returns throughout market cycles. We believe our growth in becoming one of the largest alternative asset managers is a testament to our experienced management team, our focus on performance and our high-quality investor base, which includes large pension funds, university endowments, sovereign wealth funds, banks and insurance companies.

Ares is currently searching for a highly motivated, diligent teammate to join as a full time Associate in our Ares Insurance Solutions (\"AIS\") Strategy Group. AIS is our dedicated, in-house team that seeks to provide asset management, origination, risk analytics, capital, and M&A services to insurance clients globally. The team currently manages ~$25Bn of AUM across a broadly diversified asset portfolio and is the investment manager, capital solutions provider and corporate development partner to Aspida, a leading U.S. life and annuity insurance and reinsurance company.

The AIS Strategy Group consists of investment professionals working directly with the heads of AIS and leaders across Ares to source, evaluate and implement upon our highest priority growth initiatives. Projects led by this group include management company acquisitions, minority investments, strategic partnerships, global expansion, and business development.

The group seeks to strategically deploy Ares, Aspida, and third-party capital in accretive opportunities that enhance our current capabilities and / or expand our product offerings. The Associate will provide support for the sourcing, evaluation and execution of potential new pivotal initiatives for Ares Management and AIS. Key role responsibilities include:

• Performing detailed financial and market analysis that forms the basis for decisions on investments of the firm
• Preparing complex excel financial models
• Screening new investment opportunities
• Preparing investment committee memos and board presentations
• Analyzing investment performance including maintaining and updating financial models as well as keeping track of relevant current market activities
• Assisting in investment closings and diligence
• Supporting strategic projects for new business development initiatives across the AIS and the firm
• Additional duties include providing direct support as deemed necessary by senior management

• Bachelor's degree in Finance, Accounting, Economics, Mathematics or related field (MBA or CFA a plus)
• 2 - 4 years of relevant investment banking, consulting, or principal investing preferably with focus on asset management / financial services or insurance
• Impeccable integrity and trustworthiness. The AIS Corporate Strategy Group is often required to work with sensitive information and a candidate must be willing and able to handle this information appropriately
• Self-motivated with the ability to set priorities, multitask, and monitor own workload to meet deadlines
• High level of attention to detail
• Strong analytical skills and the ability to work well with limited supervision
• Private equity caliber drive and ability to work effectively in a collegial, fast moving, demanding, and dynamic environment
• Creative problem solver
• Strong interpersonal and communication skills
• Highly proficient in Excel, PowerPoint and Word

The anticipated base salary range for this position is $180,000.00 - $200,000.00. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.

Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.

Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.

CNC / Mold / AI Manufacturing Engineer (Training Provided)

Location: Louisville, Kentucky, USA

Industry: Advanced Manufacturing / Precision Tooling

【About the Company】

FTC USA is building a next-generation precision manufacturing center in the United States.

Our mission is to combine advanced tooling expertise with AI technologies to create the next generation of intelligent manufacturing systems.

We offer a unique opportunity for engineers to grow from CNC machining to mold design and eventually AI-driven manufacturing engineering.

【International Training Program】

We believe in investing in people. Even if you do not have prior CNC experience, we provide a structured training program that includes:

• On-the-job technical training
• Hands-on machining training
• International training opportunities

Selected engineers will have the opportunity to receive advanced training at our R&D centers in Taiwan and/or Japan, where they will learn from highly experienced tooling and manufacturing engineers.

This program allows engineers to develop world-class precision manufacturing skills.

【Career Development Path】

If you are willing to accept training arrangements in Taiwan and/or Japan, the future career development and salary growth path is as follows:

Level: Level 1

Position: CNC Engineer

Salary Range: $80,000 – $120,000

Level: Level 2

Position: Mold Design Engineer

Salary Range: $120,000 – $160,000

Level: Level 3

Position: AI Mold Engineer

Salary Range: $160,000 – $220,000+

You will receive continuous training and mentorship to progress through these levels.

【Key Responsibilities】

CNC Engineering

• Learn and operate 3-axis and 5-axis CNC machining centers
• Develop CAM programs using software such as Mastercam, NX, or Powermill
• Manufacture high-precision mold components
• Work with EDM and wire-EDM machining processes
• Perform precision measurements and quality control with CMM
• Implement CNC automation and digital manufacturing platform

Mold Design & Manufacturing Integration

• Participate in precision mold design
• Support mold structure design, cooling systems, and gating systems
• Work with machining teams to optimize manufacturability
• Apply Design for Manufacturing (DFM) principles
• Support mold assembly and troubleshooting

AI-Driven Manufacturing Development (Advanced Level)

• Apply AI technologies to improve mold design and manufacturing
• Develop intelligent machining optimization strategies
• Support predictive maintenance systems
• Participate in smart manufacturing and digital twin initiatives

【Qualifications】

We welcome candidates with strong interest in manufacturing engineering.

Required:

• Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related field
• Strong interest in advanced manufacturing technologies
• Strong problem-solving ability
• Willingness to learn CNC machining and mold manufacturing
• Ability to work in a hands-on engineering environment.
• Can join the training program in Taiwan and/or Japan for first few months.

Preferred (but not required)

• Experience with CNC machining or CAM software
• Experience with CAD software
• Experience in mechanical design
• Knowledge of automation or manufacturing systems

No prior CNC machining experience is required. Training will be provided.

【What We Offer】

• Competitive salary and career growth opportunities
• Structured engineering career development
• Hands-on training with advanced manufacturing equipment
• Paid international training opportunities in Taiwan and Japan
• Mentorship from experienced manufacturing engineers
• Opportunity to work in next-generation smart manufacturing

【Why Join Us】

This is a rare opportunity to develop expertise in precision manufacturing, mold engineering, and AI-driven production systems.

You will gain exposure to global manufacturing technologies and international engineering teams, while building a long-term career in advanced manufacturing.

【Apply Now】

If you are passionate about engineering and excited about the future of manufacturing, we encourage you to apply.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Chief of Staff – AI & Automation

Location: New York, NY (Midtown)

Work Model: Primarily in-office (4+ days per week)

Bullpen is partnering with a growing New York City real estate investment sales platform to recruit a Chief of Staff – AI & Automation to help modernize and scale the business through technology, automation, and AI-driven workflows.

This is a newly created role designed to improve operational efficiency, streamline internal systems, and help leadership implement new technologies across a high-performing brokerage team.

The position will work closely with senior leadership to identify operational bottlenecks, implement AI and automation tools, and build scalable processes that allow the business to operate more efficiently as it continues to grow.

This role is ideal for someone who enjoys building systems, implementing technology, and solving complex business problems through automation and data.

The Role

The Chief of Staff – AI & Automation will sit at the intersection of operations, technology, and strategy, helping implement systems and tools that improve how the organization operates day to day.

This individual will help streamline workflows, improve data management, and ensure new systems are successfully implemented and adopted across the team.

Key Responsibilities

• Identify opportunities to automate manual workflows and operational processes

• Implement AI tools and automation solutions across the business

• Optimize CRM systems and internal technology platforms

• Manage system integrations and external technology vendors

• Improve internal data management and reporting processes

• Partner with leadership to drive operational initiatives and technology adoption

• Help implement tools that support marketing, deal tracking, and client communication

• Ensure successful rollout and training of new systems across the organization

Ideal Candidate Profile

The ideal candidate is a builder and operator who enjoys implementing technology solutions that make businesses run more efficiently.

Candidates may come from consulting, technology, proptech, or operational roles where they have led initiatives involving automation, CRM systems, or digital transformation.

Experience working in fast-paced or entrepreneurial environments is highly valued.

Qualifications

• Approximately 7–10 years of professional experience

• Experience implementing automation, AI, or digital transformation initiatives

• Familiarity with CRM systems such as Salesforce or similar platforms

• Experience managing system implementations or technical integrations

• Strong project management and problem-solving skills

• Ability to work closely with leadership and cross-functional teams

Real estate experience is helpful but not required.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

About the AISI Fellowship 

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. 

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. 

Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. 

What You'll Bring

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. 
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. 
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. 
• Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive):  
  • AI-accelerated materials discovery and optimization
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
  • Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design)
  • Quantum algorithms and hybrid classical–quantum workflows 

Who You'll Work With

Program Details

• Duration: 24 months, with possibility of transition into full-time role at BCG X.
• Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. 
• Resources: Full access to BCG’s infrastructure, compute resources, research datasets, and partner ecosystems. 
• Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. 

What Success Looks Like

By Month 6 

• Leading or co-leading a defined AISI research workstream
• Delivering models, methods, or code integrated into an active project
• Establishing a clear publication and/or IP trajectory identified

By Month 12 

• Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. 
• Being recognized internally as a go-to contributor in a priority scientific domain.
• Actively collaborating with at least one external partner or client R&D team.

By Month 24 

• Delivering multiple high-quality research outputs and/or patented IP.
• Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. 

Additional info

Why Join AISI?

•  Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. 
• Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery.
• Design and explore high-upside ideas that align with your research vision and AISI’s strategic priorities.
• Help build the foundational talent model for AISI as it scales into a global scientific innovation engine.

What This Fellowship Is Not 

• A traditional academic postdoc with a single PI and a narrowly defined research agenda.
• A consulting role focused on slide production or short-term delivery.
• A pure ML engineering role detached from scientific problem-solving. 

How to Apply 

• Submit your Resume/CV and a 1–2 page statement of interest attached to it (research background, domains of interest, and why AISI) 
• Share any relevant links to publications, code, or personal projects 

You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.

At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: 

• Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children 

• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs 

• Dental coverage, including up to $5,000 in orthodontia benefits 

• Vision insurance with coverage for both glasses and contact lenses annually 

• Reimbursement for gym memberships and other fitness activities 

• Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan 

• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement 

• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) 

• Paid sick time on an as needed basis 

*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. 

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
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