Assembly, AI Jobs in Usa

**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

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

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

Key Responsibilities

• Serve as the primary computational lead on drug discovery projects, making AI/ML-derived insights central to critical Go/No-Go decisions rather than supplementary information.
• Establish and implement active learning loops that are realistic for wet-lab execution, statistically sound, and tightly integrated with experimental teams — moving beyond one-way prediction handoffs.
• Translate complex biological and chemical challenges into well-defined computational problems; pinpoint high-impact bottlenecks in the discovery pipeline where AI can meaningfully boost the probability of technical success.
• Collaborate closely with medicinal chemists, DMPK/ADME scientists, and biologists to design multi-parameter optimization strategies that incorporate synthetic accessibility, biological relevance, and ADMET considerations.
• Promote a culture that balances technical rigor with practical impact in drug discovery; mentor junior computational scientists on both model development and effective application to real-world project challenges.
• Evaluate and integrate promising external innovations — from academic research to emerging tools and startups — to strengthen internal capabilities.

Qualifications

• PhD in a quantitative field (e.g., Computer Science, Chemistry, Physics, Biology, or related) with a strong emphasis on molecular or life sciences.
• 3+ years of post-PhD industry experience in a pharmaceutical/biotech drug discovery setting, with demonstrated leadership in driving discovery projects and deep familiarity with the full drug project lifecycle.
• Strong knowledge of medicinal chemistry principles, ADMET/Tox concepts, and pharmacokinetic/pharmacodynamic considerations; ability to diagnose why a model may underperform in practice despite good benchmark metrics.
• Expert-level proficiency in modern AI/ML techniques (e.g., deep learning, generative models, graph-based methods, active learning), combined with practical judgment on when simpler approaches outperform complex ones.
• Record of first-author publications in high-impact journals or conferences relevant to computational chemistry, AI for science, or drug discovery.
• Proven track record where computational work directly influenced molecule progression, project strategy, or key decisions in a discovery program.
• Strong communication skills with a demonstrated ability to convey complex technical ideas and their strategic business value to cross-functional teams and senior leadership.

This role offers the opportunity to lead transformative AI applications in one of the most impactful areas of modern drug discovery.

Entry Level AI Platform Architect Position

Start Your Career in Healthcare Information Technology Today!

Getting your first job can be difficult when employers want experience, but to gain that experience, you need your first job. We bridge the gap between your education and professional career by helping you gain the experience and training you need within the Healthcare Information Technology Industry.

Optimum Healthcare IT is looking for recent college graduates with an interest in moving into the Healthcare IT Industry. Our Optimum CareerPath training program will equip you with the tools needed for your success as an AI Platform Architect.

AI Platform Architect Key Responsibilities:

• Support the design and configuration of AI-driven workflows that help automate healthcare administrative and clinical processes.
• Work with internal teams and client stakeholders to understand operational challenges and translate them into scalable workflow solutions.
• Assist in building and configuring automation workflows within a healthcare AI platform.
• Help gather and document business requirements, workflow logic, and integration needs.
• Support the development of workflows that leverage healthcare data from multiple sources including EHR systems, APIs, and other integrations.
• Assist with mapping and validating healthcare data such as patient demographics, appointments, forms, and clinical documentation.
• Collaborate with integration and engineering teams to support connections between healthcare systems and automation platforms.
• Participate in workflow testing activities including unit testing, integration testing, and user acceptance testing.
• Help identify and troubleshoot issues related to data flow, workflow execution, and system integrations.
• Support project teams by preparing documentation, tracking progress, and assisting with implementation timelines.
• Help train client users on new workflows and support adoption of automation solutions.
• Communicate technical concepts and workflow designs clearly to both technical and non-technical stakeholders.

Requirements:

• Bachelor’s degree in Information Systems, Data Science, Healthcare Administration, Data Analytics, or a related field.
• US work authorization (This position is not open to any H1B /F1/ H-4 EAD OPT/STEM degrees)
• Strong analytical and problem-solving skills with the ability to understand workflows and translate business needs into technical solutions.
• Basic understanding of healthcare technology concepts such as APIs, data integrations, or electronic health record (EHR) systems preferred.
• Strong communication skills with the ability to collaborate with both technical teams and non-technical stakeholders.
• Internships or research project work are highly desired in a healthcare setting

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
• For more information please visit: 

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.

Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.

Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to

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Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.