CrawlJobs Logo

Engineer II / Scientist II

bd.com Logo

BD

Location Icon

Location:
United States , Tempe

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Primary focus of this position is to support in developing, optimizing, implementing, and validating components/elements of a medical device. The candidate will perform hands-on testing in optimization of a device; conduct process development activities to understand process inputs and outputs; assist/write technical documents, validation protocols and reports; prepare work instructions and standard operating procedures; assist in conducting design and process qualification and validation; support equipment development; support other activities from R&D, Quality, Operations, and Regulatory Affairs.

Job Responsibility:

  • Design components of a medical device, translating intangible design inputs into tangible engineering specifications and drawings
  • Select appropriate materials, processes and vendors to achieve the design, and challenge these designs against design specifications, clinical use scenarios and international standards
  • Build test parts for engineering evaluation, pre-clinical studies and clinical studies
  • assists in the development and optimization of processes to understand key process inputs and outputs, using statistic methods such as DOE as appropriate
  • Supports new process equipment and tooling development, including specification development, vendor selection and negotiation
  • prepare work instructions and standard operating procedures (SOP), write technical documents and reports
  • Prepare raw material specifications and drawings
  • Assist in preparing verification and validation protocols and reports
  • develop new engineering test methods and clinically relevant simulated use test methods in conjunction with R&D technicians
  • prepare and assist in the validation of test methods
  • perform lab bench testing, conduct engineering and competitor evaluations, development unit testing, and execute verification and validation activities
  • train technicians on new design and process development as well as new test methods
  • Assist/conduct new process development training with operations and quality assurance
  • Mentor/coach R&D technicians through New Product Development activities like new process development, R&D materials/inventory control etc
  • May lead or manage technicians or engineering interns
  • Assist in the support of Manufacturing, Quality, Regulatory & R&D to ensure systems are compliant with all internal and external guidelines
  • Assist in design and process root cause analysis and support non-conforming product and complaint investigations

Requirements:

Bachelors degree in Engineering or Science plus 1 year of experience

Additional Information:

Job Posted:
April 12, 2026

Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Engineer II / Scientist II

Data Engineer II

We’re looking for a Data Engineer II to join our Decisions & Insights team — the...
Location
Location
United States , San Francisco
Salary
Salary:
101250.00 - 162000.00 USD / Year
axon.com Logo
Axon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Engineer, Analytics Engineer, or similar hybrid role
  • Advanced SQL skills with strong understanding of schema design and analytical database patterns
  • Strong Python experience for data manipulation, scripting, and automation
  • Strong analytical mindset, attention to detail, and a passion for turning complex datasets into clear insights
  • Solid Git experience for collaboration and version control
  • Experience integrating and analyzing data from AWS services (e.g., Redshift, S3, APIs)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain automated ETL/ELT pipelines and analytical models in Redshift using SQL, dbt, or SQLMesh
  • Build clean, structured datasets that enable fast, self-serve insights for PMs, analysts, and operational agents
  • Create dashboards and analytical tools (e.g., Tableau) that make insights intuitive and actionable
  • Optimize SQL queries, schemas, and table designs for high-volume analytics workloads
  • Partner with product managers, data scientists, and engineering teams to deliver analysis that supports product and operational decisions
  • Use Python to automate processing, improve pipeline reliability, and support advanced analytical workflows
  • Apply best practices for Git-based version control, testing, documentation, and data quality monitoring
  • Participate in design reviews for new analytical features and data systems
What we offer
What we offer
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Snacks in our offices
  • Fulltime
Read More
Arrow Right

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right

Scientist II, In Vivo, Enzymatic and Metabolic Therapeutic Area

The Scientist will join the Enzymatic and Metabolic In Vivo team to design and e...
Location
Location
United States , Petaluma, CA
Salary
Salary:
116000.00 - 159500.00 USD / Year
biomarin.com Logo
BioMarin Pharmaceutical
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in a related subject area with demonstrated in vivo research experience in metabolic disease
  • Postdoctoral or industry (2-5 years preferred) experience in genetic metabolic diseases
  • Extensive hands-on experience with rodent in vivo work in the metabolic field
  • Demonstrated experience in metabolic biology/disease research in academia or industry (preferred) including publication record
  • Strong analytical, problem-solving, and decision-making skills
  • Strong understanding of genetically engineered models, breeding, and management and Gene therapy modalities
  • Excellent oral and written communication skills
  • Passion for contributing your scientific skills to develop therapies for patients in need
  • Must be able to utilize computer databases for analysis, data entry, and point of care observations
  • Must be able to work under time constraints with minimal direction of day-to-day responsibilities, including collaboratively working with multidisciplinary teams
Job Responsibility
Job Responsibility
  • Conduct research on genetic metabolic diseases
  • Contribute to novel therapeutic programs based on innovative, ground-breaking discoveries that could lead to new, high-impact opportunities for patients
  • Perform research and publish findings in high-impact journals and present research at major conferences
  • Effectively partner with other scientists and the Research and Early Development team to develop and execute on the program's strategic plan
  • Present program data at a range of internal forums, including project team meetings, Research Department Seminars and Research leadership governance forums
  • Write, review and contribute to study synopses, protocols, study reports and regulatory documents
  • Collaborate with various BioMarin functions, CROs, university or analytical laboratories, business partners, as necessary to ensure appropriate/timely progression of projects
  • Participate in multi-disciplinary drug development teams and may lead sub-teams
  • Execute hands-on responsibilities including but not limited to animal handling and restraint (rodents), administration via various routes of administration, including intravenous (tail-vein), in-life animal health monitoring and measurements, clinical observations, sample collection and processing, and accurate data collection
  • Provide daily care and monitoring of mice or rats, including health checks and documentation
What we offer
What we offer
  • Discretionary annual bonus
  • Discretionary stock-based long-term incentives
  • Paid time off
  • Company-sponsored medical, dental, vision, and life insurance plans
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer II

At Coursera, our Machine Learning team plays a crucial role in shaping the futur...
Location
Location
India
Salary
Salary:
Not provided
coursera.org Logo
Coursera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience
  • Highly skilled with Java development, Python and SQL/MySQL
  • Highly skilled with proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture
  • Solid understanding and experience in system design of ML systems (design pattern, OOD, architecture, modules, interfaces, etc)
  • Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc)
  • Experience with containerization such as Docker and Kubernates
Job Responsibility
Job Responsibility
  • Work very closely with ML scientists and help them with model deployment in the production systems
  • Work very closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms
  • Build scalable and reliable infrastructure and pipelines for data/feature processing and storage and also scalable training and evaluation infrastructure and pipelines to accelerate model development
  • Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation
  • Partner with cross functional stakeholders to define a long-term vision for scaling ML/AI applications in production and help teams with their roadmap plannings
Read More
Arrow Right

Data Scientist II (ML Engineering)

As CLEAR continues to scale, we’re deepening our investment in the data science ...
Location
Location
United States , New York
Salary
Salary:
150000.00 - 180000.00 USD / Year
clearme.com Logo
Clear
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker
  • Advanced Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling
  • SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift)
  • Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51)
  • Understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability
  • Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management)
  • Strong communication and storytelling skills
  • A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices
Job Responsibility
Job Responsibility
  • Evolve CLEAR’s predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams
  • Develop high-quality production code including enhancements to feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards
  • Partner with Data Engineering and ML Platform teams to deploy models into production and ensure real-time and batch inference systems run efficiently
  • Advance CLEAR’s AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows
  • Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams
What we offer
What we offer
  • Comprehensive healthcare plans
  • Family-building benefits (fertility and adoption/surrogacy support)
  • Flexible time off
  • Annual wellness stipend
  • Free OneMedical memberships for you and your dependents
  • A CLEAR Plus membership
  • A 401(k) retirement plan with employer match
  • Catered lunches every day
  • Fully stocked kitchens
  • Stipends and reimbursement programs for well-being and learning & development
  • Fulltime
Read More
Arrow Right

Research Engineer II

As a Research Engineer II at Microsoft you will apply both software engineering ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • 2+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
  • Build and debug production-grade code in distributed systems
  • Translate business requirements into AI solutions, collaborating with data scientists, research scientists, product managers, and engineering teams to ensure alignment and impact
  • Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
  • Own deployment, quality and operation of AI systems, including automated evals, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices
  • Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning
  • Fulltime
Read More
Arrow Right