Per un progetto enterprise siamo alla ricerca di un/una Senior Machine Learning Engineer con esperienza nella progettazione e nello sviluppo di soluzioni Machine Learning e Generative AI, con particolare focus su LLM, RAG, embedding e ricerca vettoriale.
Responsibilities
progettazione e sviluppo di soluzioni di Machine Learning e Generative AI
sviluppo e integrazione di sistemi basati su LLM
implementazione di architetture RAG – Retrieval-Augmented Generation
gestione e utilizzo di embedding e sistemi di ricerca vettoriale
sviluppo di servizi e microservizi in Python tramite FastAPI
Supervision of the histology laboratory and administrative assistant personnel, training new personnel, performance evaluations, development of new procedures, evaluation of new equipment and reagents, troubleshooting instrument problems, quality control, slide review with Pathologist, specimen processing, embedding, microtomy, staining, special stains, gross description of small biopsies.
Compensation
Salary Range: Min $36.50 Mid $45.63 Max $54.75
Responsibilities
Supervise histology laboratory and administrative staff
Train new personnel
Conduct performance evaluations
Develop new procedures and evaluate new equipment and reagents
Troubleshoot instrument problems and quality control issues
Requirements
Associates Degree, HT (ASCP) or eligible
Bachelors Degree, HTL (ASCP) or eligible
MLS (ASCP) with successful completion of Histotechnology training course and HTL (ASCP) certification within two years of hire
Microscopy Officer responsible for operating, maintaining, and training users on optical, fluorescence and confocal microscopy equipment at the Institute for Molecular Bioscience.
Compensation
Full-time equivalent base salary will be in the range $97,268.85 - $104,348.98 + 17% super (HEW Level 6)
Responsibilities
Coordinating and delivering individual and group training in microscope operation, image acquisition, visualisation software and image analysis for biological research.
Maintaining, cleaning and calibrating microscopy instrumentation to factory specifications, and supporting the day-to-day operation of the imaging platform.
Providing responsive, helpdesk style troubleshooting for minor equipment and software issues, and escalating complex matters as required.
Managing platform assets and records, including stocktakes, consumables ordering, user training logs, work records and associated charges.
Contributing to the continuous improvement of facility procedures, documentation, and user support resources.
Requirements
A degree in a biological or biomedical discipline, or an equivalent combination of relevant experience and education or training.
Nice to have: Widefield microscopy
Nice to have: Confocal microscopy
Nice to have: Image processing and quantification methods for multi-dimensional datasets
The Microscopy Officer will deliver world-class optical, fluorescence, and confocal microscopy services, including user training, equipment maintenance, and image analysis.
Compensation
Full-time equivalent base salary will be in the range $97,268.85 - $104,348.98 + 17% super (HEW Level 6)
Responsibilities
Coordinating and delivering individual and group training in microscope operation, image acquisition, visualisation software and image analysis for biological research.
Maintaining, cleaning and calibrating microscopy instrumentation to factory specifications.
Supporting the day-to-day operation of the imaging platform.
Providing responsive, helpdesk de-style troubleshooting for minor equipment and software issues.
Managing platform assets and records, including stocktakes, consumables ordering, user training logs, and work records.
Requirements
Degree in a biological or biomedical discipline, or an equivalent combination of relevant experience and education
Supervises and oversees the day-to-day activities related to the Histology Department, ensuring consistent delivery of high-value quality laboratory care to all patient populations served.
Compensation
Pay Range is $74.65 to $104.51 / hour
***SIGN ON BONUS OPPORTUNITY: $15,000. $5,000 after 90 day probationary period and the remaining $10,000 after one year of employment. FOR EXTERNAL CANDIDATES***
Responsibilities
Supervises day-to-day activities of the Histology Department
Performs and demonstrates proficiency in processing, embedding, cutting and staining tissue specimens
Ensures validity of test results and proper specimen handling
Maintains department records and equipment
Establishes work priorities and assists staff in resolving operational issues
Requirements
Bachelor's in Biology, Clinical Laboratory Science or Healthcare related field
Lead the architectural vision and technical execution for Snowflake’s Streamlit in Snowflake platform, driving performance, scalability, and developer experience across a multi-tenant data ecosystem.
Compensation
The estimated base salary range for this role is $250,000 - $380,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Responsibilities
Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer.
Drive the platform’s evolution toward next-generation capabilities, shaping architectural direction for emerging features.
Serve as the primary technical representative for SiS in company-wide architecture forums.
Establish engineering standards for performance, reliability, and scale ensuring SiS can handle many concurrent users with fast startup times and high availability.
Lead the technical design and review process for high-stakes, cross-functional initiatives across infrastructure, Snowsight, Cortex/AI, security, and open-source Streamlit.