Manufacturing Engineer jobs at Abbott - 2521 jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:Main Purpose of the Role Provides support to the Manufacturing organization to facilitate efficient operations within the production area, to optimize existing processes, and to ensure that production goals are met. Monitors performance of equipment, machines and tools and corrects equipment problems or process parameters that produce non-conforming products, low yields or product quality issues. Interfaces with Quality and Research and Development organizations to integrate new products or processes into the existing manufacturing area. Main Responsibilities Initiates and completes technical activities leading to new or improved products or process, for current programs, next generation programs and to meet strategic goals and objectives of the company. • Prepares reports, publishes, and makes presentations to communicate findings. • Analyzes and solves problems from basic engineering principles, theories and concepts through to a wide range of complex and advanced problems which require novel and new innovative approaches or a major breakthrough in technology. Apply standard engineering principles and methodologies to interpret problems; create/modify designs; draw conclusions and recommend options for solutions; • Understands engineering principles theories, concepts, practices and techniques. Develops knowledge in a field to become a recognized leader or authority in an area of specialization and applies this knowledge in leadership roles in the company. • Incorporates business policies and procedures into task completion. Responsible for completing documentation in a timely manner and in accordance with business standards; • Understands the business needs of the company, and has knowledge of the customer needs of our business. • Understands the business cycle and foresight of emerging technologies trends. Responsible for implementing and maintaining the effectiveness of the Quality System. • Cultivates internal and external network of resources to complete tasks. • Serves has a resource in the selection orientation and training of new engineers and employees. • May lead a project team, determining goals and objectives for the projects. Execute work instruction updates to ensure that documents accurately reflect the current process. • Mentors employees by sharing technical expertise and providing feedback and guidance. • Interacts cross functionally and with internal and external customers. • Serves as a consultant for engineering or scientific interpretations and advice on significant matters. • Acts as a spokesperson to customers on business unit current and future capabilities. • Cultivates a wide range of internal networks and begins to develop an extensive external network of resources to facilitate completion of tasks. • Strong project management skills. Provides guidance to less experienced staff. Acts as a mentor to lower level individual contributors. • Influence exerted at peer level and occasionally at first levels of management. • Plans, organizes, and prioritizes own daily work routine to meet established schedule. Responsible for writing and evaluating process, equipment, and non-product software qualifications. • Exercises authority and judgment within defined limits to determine appropriate action. • Failure to achieve results or erroneous decisions or recommendations may cause delays in program schedules and may result in the allocation of additional resources. REQUIREMENTS Working technical knowledge and application of concepts, practices and procedures. General understanding of business unit/group function. Will perform this job in a quality system environment. Failure to adequately perform tasks can result in noncompliance with governmental regulations. Works on problems of moderate scope where analysis of situations or data requires a review of identifiable factors. Exercises judgment within defined procedures and practices to determine appropriate action. Has a broad knowledge of technical alternatives and an understanding of their impact on the systems environment. Minimum 2 years 2-5 years of related work experience with a good understanding of specified functional area. Education Bachelors Degree (± 16 years) Related field. OR An equivalent combination of education and work experience Masters Degree (± 18 years) Preferred The base pay for this position is $60,000.00 - $120,000.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY:EngineeringDIVISION:CRM Cardiac Rhythm ManagementLOCATION:United States > Avon : 10207 Veterans DriveADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday), Work in a clean room environment Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: ************************************************************ EEO is the Law link - Espanol: ************************************************************

A biotechnology firm based in California seeks a candidate for a supervisory role requiring excellent attention to detail and strong communication skills. Responsibilities include supervising personnel, maintaining lab inventory, and performing administrative duties. The ideal candidate should have at least 3 years of experience in supervising teams and GMP manufacturing with a focus on liquid handlers and reagent formulations. The position supports a hybrid work model to ensure work-life balance while advancing innovative science for patients. #J-18808-Ljbffr

The nature of the work requires excellent attention to detail, effective written and verbal communication skills, the ability to multitask and be flexible with tasks and schedules, and the ability to work independently in a team environment. **Essential Duties and Responsibilities:** Provide day-to-day supervision of personnel; maintain sufficient inventory of material, supplies and equipment in the laboratory for performance of duties;Perform administrative duties including, but not limited to, writing employee performance evaluations, writing and reviewing SOPs, protocols, manufacturing documentation, and equipment maintenance forms as assigned;Coach and mentor Reagent Manufacturing Associates including, but not limited to, providing guidance, constructive feedback and assistance with the development of skills and career goals;Perform other laboratory duties as assigned; **Qualifications:** * Experience with liquid handlers and reagent formulations;At least 3 years of experience in supervising teams within a high complexity GMP laboratory; with an additional 3+ years of hands-on GMP manufacturing experience required;**This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.***Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to *******************************A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).**Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.**All your information will be kept confidential according to EEO guidelines.* **To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our**.***Please visit our career page at:**Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time.* #J-18808-Ljbffr

Manufacturing Engineering Department seeking a Manufacturing Engineer II to perform all manufacturing engineering duties. The ideal candidate must possess effective verbal, written presentation, negotiation and interpersonal skills. Demonstrate ability to generate manufacturing documentations, specifications and technical reports in a concise manner, hands on and action oriented engineer with strong analytical, critical thinking skills and able to work well under general directions with minimum supervision. The candidate should be data driven, goal oriented and willing to learn and develop new skills, able to work in a fast paced, time sensitive, multi-project and results driven environment with multi-disciplinary team interface. The ideal candidate must be able to plan and organize non-routine task. Responsibilities To identify, order and commission the key process equipment to CGMP in the Operations Engineering Cycle to meet key business objectives Engineering process owner for the area Develop and modify manufacturing documentation and procedures to support commercial products as well as the introduction of new products to the production floor (assembly procedures, BOMs, etc.) Ensure that new products introduced to the production floor meet business, quality, output and cost goals and objectives Develop and modify various manufacturing processes to improve product and process quality and output Ensure product/process requirements are met for component, assembly, tooling and supplier specifications Support material discrepancy review and disposition activities (MRB) for existing commercial products Develops knowledge in a field to become a recognized leader or authority in an area of specialization and applies this knowledge in leadership roles in the company Eliminate/reduce product/process defects and improve yields. Strong problem solver for technical problems in the area, solves problems from basic engineering principles, theories and concepts. Support all quality and corrective/preventive actions initiatives (NCEP, CAPA) to achieve quality goals Capable of training cross functional team members including, engineers, technicians and product builders Knowledge of project management Interacts cross functionally and with internal and external customers Ability to develop expert knowledge on BSC systems. Willing to travel internationally as part of project team. For individual who is assigned calibration engineering role only: Provide equipment calibration services necessary to meet company objectives, while assuring measurement traceability to nationally recognized equipment calibration standards and practices. Technical SME for Calibration group and SME for internal and external Audit SME for Calibration Management System Manage and Perform calibration functions. Sets day to day function for calibration group Researches, recommends, and acquires new standards and other capital equipment, providing detailed justifications and cost analysis as required. Develops technical engineering reports and complex technical calibration procedures and trains department technicians on new calibration procedures. Works directly with Equipment Engineering and Manufacturing Engineering departments to advise on equipment selection, design accommodations for calibration of new equipment and appropriate measurement techniques. Provides support and guidance to calibration technicians in performing complex equipment calibrations. Manage calibration lab needs regarding such issues as environmental control and new technologies. Works with Senior Metrology Engineer and Management to develop the department fiscal year budgets. Communicates with the Operations ME function on calibration status. Build Quality into all aspects of work by maintaining compliance to all quality requirements Requirements Candidate required possess at least Bachelor's Degree in Engineering. Required at least 5 ~ 7 years of working experience in manufacturing or process engineering. Proven track record in product transfers, equipment qualification, and process validation. Experience in working within a matrix organization and cross-site collaboration. Able to work under supervisory direction, provides input to Equipment engineering or external equipment/tooling or material vendors in the selection, design & development of new product. Prefer candidate with strong project management and technical documentation skills. Proficient in validation protocol/report writing (IQ/OQ/PQ). Skilled in root cause analysis and process improvement method. Effective communication and stakeholder management across global teams. About Us As a global medical technology leader for more than 40 years, our mission at Boston Scientific (NYSE: BSX) is to transform lives through innovative medical solutions that improve the health of patients. If you're looking to truly make a difference to people both around the world and around the corner, there's no better place to make it happen. #J-18808-Ljbffr

A leading medical technology company is seeking a Manufacturing Engineer II in Boston to oversee manufacturing operations and documentation. The ideal candidate will have 5-7 years of experience in engineering, strong analytical abilities, and effective communication skills. This position involves working in a fast-paced environment and requires a Bachelor's degree in Engineering. Opportunities for project management and international travel are available. #J-18808-Ljbffr

We are a team of technologist and insurance industry veterans from companies like SpaceX, Boeing, Metromile, Policygenius, HotelTonight, WePay, Chubb, Pure, and AIG Private Client. FINANCE $70m+ in Funding From Inspired VC, Lowercarbon Capital, Equal Ventures, and more. TEAM Offices in San Francisco and Seattle We have a small, strong team in great locations. SOCIAL PROOF Over $2b in TIV Capacity Reinsured by Arch, RenRe, Nephila, Hiscox and others. BENEFITS Competitive Salary and Equity We pay well and offer all the usual benefits. Open Positions Product Visualization Engineer Location Employment Type Full time Location Type On‑site Department Science & Engineering Compensation About Stand Stand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science‑driven resilience. Existing insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting‑edge analytics to provide personalized risk assessments-helping homeowners secure coverage and take proactive steps toward resilience. Why Join Stand: At Stand, you'll join a mission‑driven team redefining insurance through the lens of climate resilience, building a transformative, data‑driven insurance model with real‑world impact for homeowners and communities on the front lines of climate change. The Role On the Applied Science team, we build state‑of‑the‑art digital twins to model and mitigate climate risk. Our goal is to turn advanced physics simulations and AI‑driven analytics into intuitive tools that empower users to understand, interact with, and act on risk. As a Product Visualization Engineer, you'll be the bridge between complex models and real‑world usability. Your primary focus will be designing and shipping front‑end tools that make simulations intuitive and performant-collaborating closely with Product, Engineering, and Applied Science in a highly cross‑functional environment. You'll play a critical role in connecting our deep‑tech capabilities (e.g., CFD, FEA, AI models) with end users, enabling non‑technical audiences to visualize, manipulate, and run their own simulations-transforming how climate‑induced risk is assessed. The sweet spot for this role is deep expertise in 3D visualization and model interfaces (e.g., building editors and rendering physics outputs), paired with strong engineering discipline for building and shipping production‑ready tools. Beyond that, we're looking for someone who is to grow into product and design depth-bringing product intuition and shaping workflows over time, even if not fully proven on day one. This Role Will: Own front‑end tooling for the Applied Science team, from design through production Partner with Product to evolve deep‑tech into fully supported features aligned with user needs Build efficient, intuitive interfaces to visualize, edit, and label digital twins in our simulation pipelines Collaborate across teams to transform CFD and AI outputs into actionable visualizations Leverage off‑the‑shelf ML models to accelerate simulation prep and property assessments Core Skills (Must‑Haves): 3D / technical visualization: build and optimize interactive scenes (Three.js/R3F), e.g., scene graphs, selection, transforms, annotations, and performance tuning Geospatial/3D data wrangling: point clouds/meshes, LiDAR & orthomosaics, 2D masks/segmentations; coordinate systems; integrating sources of varying accuracy and vintage Front‑end expertise in TypeScript + React (shipping, owning and maintaining production tools) Modern software practices: comfortable with standardized dev environments (monorepos/containers), CI/CD pipelines, automated testing, code reviews, observability, and shared libraries Product sense & collaboration: partner with Product to translate prototypes into supported features; align requirements; and communicate clearly in demos and docs 5 years of Industry experience post Masters or PhD in relevant field. Nice to Have (Helpful, Not Required): Exposure to CFD/FEA/physics outputs (e.g., combustion, wind) and visualizing scientific data General ML literacy familiarity with integrating off‑the‑shelf models/segmentations and reasoning about basic metrics (on‑the‑job learning encouraged) Compensation: The annual base salary range for full‑time employees in this position is $160,000 to $210,000 with a meaningful Equity Grant. Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additional Benefits: Weekly lunch stipend Flexible time off 401k plan Equal Opportunity Employment Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community. We are committed to providing reasonable accommodations for qualified individuals. If you require assistance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Partner with Us in Mitigation and Home Resiliency for High‑Net‑Worth Clients Are you a professional vendor specializing in mitigation and home resiliency services with a strong track record of supporting high-net-worth clients? We're seeking trusted partners who share our commitment to exceptional quality, service, and attention to detail. As part of our network, you'll work with clients who value expertise in areas like fire prevention, structural resilience, and other risk mitigation strategies tailored to protect high‑value properties. If you're dedicated to delivering outstanding service and understand the unique requirements of these clients, we'd love to hear from you. Contact us today to learn more about our vetting process and explore how we can work together to elevate home resiliency and risk mitigation for our clients. Let's build a safer, more resilient future together. We strive to provide you with the most tailored and highest quality insurance products and customer service so you can live life knowing you have the right insurance for your assets. 548 Market St. PMB 70879, San Francisco, California 94104 Claims: *************** or ******************* Stand Protect, Inc. (d/b/a Stand Insurance Solutions) is a licensed insurance producer in California (License #6014213) and partners with an A‑rated or better carrier and reinsurers. #J-18808-Ljbffr

Newark, DE, United States Santa Clara, CA, United States United States As a Principal Machine Learning Engineer in Hologic's Breast and Skeletal Health division, you will play a pivotal role in designing, developing, and deploying advanced AI algorithms for next‑generation medical devices. You will focus on creating and validating AI‑driven solutions for breast cancer detection in breast tomosynthesis (3D mammography). Your work will have a direct impact on patient outcomes by ensuring our technologies are robust, safe, and clinically validated-upholding Hologic's mission to deliver innovation with precision and reliability. What You'll Bring Knowledge Deep expertise in machine learning and deep learning, including supervised and self‑supervised methods. Mastery of cutting‑edge neural network architectures and training techniques. Strong foundation in computer vision, data preprocessing, feature engineering, and statistical analysis. Experience with model validation and performance benchmarking. Knowledge of software engineering best practices for building maintainable, scalable systems. Bonus: Familiarity with FDA regulatory standards for AI in healthcare, DICOM format, digital breast tomosynthesis, and breast cancer pathology/diagnostic workflows. Skills Advanced programming in Python and C++, with proficiency in ML/data science libraries (e.g., Pandas, OpenCV, XGBoost, NumPy, SciPy). Hands‑on experience with deep learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure, GCP). Proven ability to design, implement, and optimize machine learning pipelines for large‑scale, high‑dimensional 3D medical imaging data. Experience deploying and maintaining models in production environments. Strong problem‑solving skills for translating clinical requirements into technical solutions. Excellent communication skills for technical documentation and stakeholder presentations. Effective cross‑functional collaboration with engineers, clinicians, and product managers. Behaviors Demonstrates leadership and initiative in driving complex projects from concept to deployment. Champions a collaborative, open, and success‑driven team culture. Maintains high standards of integrity, accountability, and ethical decision‑making. Adapts quickly to evolving technologies and priorities. Proactively seeks feedback and growth opportunities. Shows resilience and resourcefulness in technical and regulatory challenges. Prioritizes patient safety, data privacy, and compliance. Inspires teams through commitment to Hologic's mission and values. So why join Hologic? We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you. If you have the right skills and experience and want to join our team, apply today. We can't wait to hear from you! The annualized base salary range for this role is $126,000 - $210,100 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand. Agency and Third‑Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered. As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. LI-#DS1 #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

A technology and insurance firm in San Francisco seeks a Product Visualization Engineer to bridge complex models and usability. This role focuses on designing intuitive front-end tools, requiring deep expertise in 3D visualization and front-end development with TypeScript and React. Candidates should have at least five years of experience post-graduation in a relevant field. The company emphasizes a mission-driven approach to mitigating climate risks through innovative technology and offers competitive compensation with equity. #J-18808-Ljbffr

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Opportunity At Roche\'s AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for building and maintaining the scalable and robust infrastructure that powers our machine learning initiatives. The ideal candidate will be proactive, user-facing, and possess a "get-it-done" attitude, while consistently adhering to corporate standards and best practices. Responsibilities Design, implement, and maintain scalable and reliable ML infrastructure on AWS. Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm. Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Troubleshoot and resolve infrastructure-related issues in a timely manner. Implement and enforce security best practices for ML infrastructure. Document infrastructure designs, processes, and operational procedures. Contribute to initiatives independently as part of a team, delivering assigned outputs. Proactively identify issues and gaps, proposing ideas and suggestions for improvements. Who you are / Qualifications Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc. Strong proficiency with Git and Git repository management. Hands-on experience with Terraform for infrastructure provisioning and management. Experience with Helm for deploying and managing applications on Kubernetes. Proficiency in scripting languages (e.g., Python, Bash) for automation. Excellent problem-solving skills and a strong ability to debug complex issues. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions. Demonstrated ability to take initiative, anticipate needs, and drive projects to completion. Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines. Ability to write clean code with little syntax/convention feedback. Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD). Familiarity with modern machine learning methods. Knowledge of and experience with high-performance computing, distributed systems, and cloud computing. Preferred Experience with MLOps platforms and tools. Familiarity with CI/CD pipelines for ML workflows. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is $147,600 - $274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company\'s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. #J-18808-Ljbffr

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminates innovative patient therapies and scientific discoveries around the world, and reduces the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life‑changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Minimum Job Qualifications Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. Primary Duties and Responsibilities Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and having vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Knowledge, Skills, and Abilities Required Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi‑Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Supervisory Responsibilities None. Patient Contact None. At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Equal Opportunity Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Poster's link placeholder Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). Salary Range $154,000.00 - $184,500.00 #J-18808-Ljbffr

A technology company in Cupertino is looking for a Senior Camera Design Engineer to contribute to video product lines. Responsibilities include camera tuning and ISP image processing. The ideal candidate will have 5+ years of experience and an MS/BS degree in Computer Science or Engineering. Strong programming skills in Java and/or C/C++ are preferred. The role offers competitive salary and benefits including annual bonuses and health insurance. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Description: The Senior Medical Device Engineer is responsible for leading the design and development activities of new products and improving existing products in compliance with all quality and regulatory requirements. They will be responsible for authoring technical documents for the development of medical devices and combination products according to relevant Design Control regulations and standards. The person in this position will also be responsible for providing project-specific support, including technical analysis and review of supplier documentation as required. The position has a scientific focus that includes formulation development, product performance characterization, and implementation, including prototype design and fabrication, and data generation through designed experiments. The Senior Medical Device Engineer is expected to aspire for excellence with a bias toward action, willing to roll up their sleeves, get hands‑on, and do what's necessary to move projects forward in a fast-paced environment. They are committed to designing and developing products that dominate the marketplace and improve healthcare by partnering with our customers to drive purposeful innovation, resulting in best‑in‑class products. The Medical Device Engineer will work with a multidisciplinary team of researchers. This is a multi‑faceted job in a highly collaborative environment across multiple functions that will require flexibility as well as an ability to learn about and develop new technologies and explore new techniques in pursuit of product innovation and robustness. Role level is contingent on experience, but this is not an entry level role. This is a full‑time, on‑site position, located in Brooklyn, New York. Responsibilities Create and lead experimentation for exploratory and/or product development research focusing on polymeric materials devices and their use. Define new product functional requirements (design inputs/user needs) and evaluate the design's overall effectiveness, cost, reliability, and safety. Lead cross‑functional teams to develop new products, address design issues, and maintain existing designs. Apply strong problem‑solving skills to find solutions to complex problems. Work independently to plan and schedule own activities necessary to meet project timelines. Work cooperatively with quality, manufacturing, regulatory, clinical, and marketing to ensure project success. Lead the creation of design history file documentation through the new product development process. Develop new implant and instrument designs utilizing Solidworks and modeling/detail design specifications. Generate technical protocols/reports to support device safety and efficacy. Invent/create concepts and designs and submit invention disclosures. Ensure that all design activities adhere to FDA Quality System Regulations and ISO 13485 design control and risk management requirements. Lead material/design/process changes through a design control process, with well‑documented research/analyses. Author protocols and reports including development studies and design verification/validation activities. Develop and execute test methods to aid in exploratory research, product development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures. Prepare samples as required for testing, or other evaluations and data analysis, including in voice‑of‑customer (VOC) labs. Interface with customers, suppliers, and internal cross‑functional team members to develop specifications and coordinate prototype fabrication. Maintain a laboratory notebook and other technical documentation to required GLP/GMP guidelines. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions. Provide support to marketing and sales team, support the introduction of new technologies with the development of presentations, sales tools, formulations, and applications data. Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company. Manage part‑time staff as a research leader and mentor for ongoing research projects. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed in order to support Cresilon's business objective. Responsibilities may include other duties as assigned and as required. Required Qualifications BS in Chemical Engineering, Polymer Engineering, Material Science, Biomedical Engineering, Mechanical Engineering, or related scientific discipline. A minimum of 5+ years of product development experience is required. A minimum of 4 years of hands‑on experience in new product research and development in a cGMP‑regulated industry is required (work experience in the Medical Device field is strongly preferred). Adept experimentalist with hands‑on experience in product development of medical devices and their safety/efficacy characterization in an R&D environment. Experience gathering user needs, translating them to technical inputs, and developing viable V&V (Design Verification and Validation) plans. Experience leading complex product development initiatives from concept through product launch/release. Good working knowledge of anatomy and surgical procedures is required. Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements is required. This includes strong analytical, problem‑solving, and decision‑making skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as effectively be a strong team contributor and work cross‑functionally to expedite the completion of critical project tasks. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency in a timely manner. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Requires strong leadership skills, excellent written and verbal communication and presentation skills. Working knowledge of FDA requirements as per 21 CFR 820, ISO 9001, ISO 13485:2003, and ISO 14971:2007. Working knowledge of Good Documentation Practices (GDP), and Good Manufacturing Practices (cGMP). Good understanding of statistical tools and validation/verification techniques. Proficiency in the use of Microsoft Excel, Microsoft Word, and Microsoft PowerPoint is required. Legal authorization to work in the United States is required. Preferred Qualifications An advanced degree (MS or Ph.D.) is strongly preferred. Hands‑on experience in product development with Class II and Class III medical devices. Experience developing test methods and protocols/reports for safety and efficacy testing of implant and instrument designs. Experience with IDE and PMA submissions. Six‑Sigma green belt or black belt certification. EEO Statement Cresilon is an equal‑opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Competitive annual base salary range of $100,000 - $160,000, depending upon job level and qualifications. Paid Vacation, Sick, & Holidays. Monthly MetroCard Reimbursement. 401(k) & Roth Retirement Savings Plan with company match up to 5%. Work/Life Employee Assistance Program. Company Paid Life and Short‑Term Disability Coverage. Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage. #J-18808-Ljbffr

Veridiam is a strategic manufacturing partner specializing in precision fabrication of components and assemblies made from exotic metals for critical applications in aerospace, defense, medical, nuclear, and space. Our roots were formed in the exacting nuclear and aerospace industries, expanded into medical where we have supplied critical components to a global customer base. Veridiam's ability to work with challenging materials such as titanium alloys, nickel-based superalloys, refractory metals, and specialty stainless steels ensures reliable, mission-ready products for our customers' most vital programs. As a trusted partner, Veridiam provides technical collaboration, quality assurance, and supply chain reliability essential to advancing innovation and operational success across these highly regulated industries and results for mission-critical parts made from titanium alloys, nickel-based superalloys, refractory metals and more. At Veridiam we recognize that talent is at the forefront of our organization and define who we are in today's industry. You will work in a highly regulated, precision manufacturing environment where safety, documentation integrity, dimensional control (“True Diameter”) and traceability are paramount. Veridiam is looking for a Materials Engineer for our El Cajon facility. Interested candidates should apply directly to our website at: Careers - Strategic Manufacturing Partner > Veridiam Position Summary Extract, research, develop, test, and improve materials used in our products and processes. Perform tests and conduct research on properties, performance and applications of metals including high-performance alloys. Analyze material behavior under various conditions and prepare technical reports. Essential Duties and Responsibilities Perform assigned routine and advanced or complex tests on raw material, product in process, re-worked material, finished goods and/or developmental samples in accordance with customer and/or quality standards/specifications. Conduct research on the properties, performance, and applications of metals including high-performance alloys such as stainless steel, titanium, and nickel alloys. Develop and test new materials to improve product durability, performance, and efficiency. Perform failure analysis and recommend design/material improvements. Analyze material behavior under various conditions (stress, temperature, corrosion, wear, etc.). Review and manage internal and external material lab test results. Develop and maintain processes for new product introduction. Prepare technical reports, specifications, and documentation for internal and customer use. Prepare, organize, and maintain necessary samples, forms, documentation and trend charts. May provide data and analysis to material review board to support resolution of issues, initial data support to supplier and/or customer notification. Ensure compliance with industry standards, safety regulations, and environmental requirements. Support process optimization and cost-reduction initiatives without compromising quality. Work collaboratively with cross-functional teams to ensure materials meet customer requirements and performance, quality and cost objectives. Provide and supply training for others in the area. Maintain clean and orderly work environment. Demonstrates ability to appear for work on time, follow directions from a supervisor, interact well with co-workers, understand and follow work rules and procedures, comply with company policies and procedures, goals and objectives, and accepts constructive feedback. Other duties as assigned, requested or needed. Position Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions. Education and Experience: Bachelor's degree in Materials Science, Materials Engineering, Metallurgy, Chemical Engineering or related field. Five (5) or more years' experience in manufacturing and/or familiarity of the international standards for testing metallic materials (ASTM E8) including steel products (ASTM A370) preferred or equivalent education and experience. Knowledge, Skills, and Abilities: Knowledge of metal forming, and/or machining methods preferred. Excellent written and verbal communication skills. Ability to read and interpret documents such as work orders, operating and maintenance instructions and procedure manuals and blueprints. Ability understand and follow standard operating and safety procedures. High-level attention to detail and commitment to quality standards. Strong problem-solving skills and technical expertise in materials science. The above statements are intended to describe, in broad terms, the general functions and responsibility levels assigned to this classification. Management has the right to change duties at any time to meet business needs. Pay Rate: The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience with the industry, education, geographic location, etc. Veridiam is an Equal Employment Opportunity/Affirmative Action Employer. Veridiam will recruit, hire, train and promote persons into all jobs without regard to age, race, color, religion, ancestry, medical condition, sex, sexual orientation, gender identity, national origin, status as a veteran or status as an individual with a disability or any other characteristic or classification protected by law. Access to our facility (and, therefore, employment) is restricted under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR) to U.S. Citizens, lawful permanent residents of the United States and properly licensed foreign persons. Applicants receiving a conditional offer of employment will be required to provide information to determine whether they are subject to these regulations and, if so, to assess their country of chargeability for export control purposes.

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

A leading medical device company in California is seeking a Senior Machine Design Engineer specializing in automation. This role involves designing automated machines, leading project teams, and mentoring junior engineers, ensuring designs meet stringent quality standards. Candidates should possess over 5 years of experience in machine design and automation, as well as a Bachelor's degree in Engineering. The position offers a competitive salary and robust benefits, reflecting the company's commitment to employee growth and well-being. #J-18808-Ljbffr

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Due to success of continued growth - the Leidos Innovations Center (LInC) at Leidos (in Arlington, VA or San Diego, CA) currently has an opening for a Senior Signal Processing Engineer. As a LInC EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems. Duties may include designing, developing, and analyzing systems for the extraction of information from signal sensors - and also serving as Technical Team Lead. You will support the Division by achieving program objectives, leading technical teams - and participate in business development activities. The ideal candidate will possess superior analytical and problem-solving skills, operate independently with limited supervision and feedback, be a strong team player, and have the ability to establish solid working relationships with technical staff members and peers within the division as well as our external Government customers. Regular tasks will include a mix of the following: Lead and develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains Serve as Principal Investigator on complex multi-disciplinary programs. Mentors and coaches other technical staff. Lead or support marketing and business development initiatives: develop technical solutions and new ideas for response to capture efforts (e.g., BAAs, RFPs etc.) Participate in, and/or lead, lab-based and field testing Lead and/or engage in multiple projects Communicate results in briefings and written material to your team, the Customer and management At Leidos, we offer competitive benefits ******************************************* including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Advanced Warfare Technology! Basic Qualifications: Must be U.S. Citizen with an active Secret clearance and the ability to obtain a TS/SCI level clearance Masters with 15+ years prior relevant experience, or Masters with 10+ years prior relevant experience Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc. Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes Demonstrated leadership of small multi-disciplinary technical teams and/or projects Demonstrated strong oral and written communication Experience working in EW, SIGINT and/or radar fields as a technical leader Preferred Qualifications: Doctoral degree Business Development and Capture experience (e.g., Proposals, white papers etc.) Experience working in a Research and Development (R&D) environment AWTLINC Original Posting: November 5, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Due to success of continued growth - the Leidos Innovations Center (LInC) at Leidos (in Arlington, VA or San Diego, CA) currently has an opening for a Senior Signal Processing Engineer. As a LInC EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems. Duties may include designing, developing, and analyzing systems for the extraction of information from signal sensors - and also serving as Technical Team Lead. You will support the Division by achieving program objectives, leading technical teams - and participate in business development activities. The ideal candidate will possess superior analytical and problem-solving skills, operate independently with limited supervision and feedback, be a strong team player, and have the ability to establish solid working relationships with technical staff members and peers within the division as well as our external Government customers. Regular tasks will include a mix of the following: Lead and develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains Serve as Principal Investigator on complex multi-disciplinary programs. Mentors and coaches other technical staff. Lead or support marketing and business development initiatives: develop technical solutions and new ideas for response to capture efforts (e.g., BAAs, RFPs etc.) Participate in, and/or lead, lab-based and field testing Lead and/or engage in multiple projects Communicate results in briefings and written material to your team, the Customer and management At Leidos, we offer competitive benefits ******************************************* including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Advanced Warfare Technology! Basic Qualifications: Must be U.S. Citizen with an active Secret clearance and the ability to obtain a TS/SCI level clearance Masters with 15+ years prior relevant experience, or Masters with 10+ years prior relevant experience Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc. Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes Demonstrated leadership of small multi-disciplinary technical teams and/or projects Demonstrated strong oral and written communication Experience working in EW, SIGINT and/or radar fields as a technical leader Preferred Qualifications: Doctoral degree Business Development and Capture experience (e.g., Proposals, white papers etc.) Experience working in a Research and Development (R&D) environment AWTLINC Original Posting: November 5, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to architect and maintain critical data infrastructure for its advanced AI models. This role involves managing multimodal data processing and optimizing large-scale data pipelines. Ideal candidates will have 8+ years of experience and a Master's degree in a related field. The position is based in Chicago and offers a salary range of $170,000 - $210,000. #J-18808-Ljbffr