Staff Product Designer, Registry Job at RemotivateJobs

Staff Product Manager, Health & Education

As the Staff Product Manager, Health & Education, you’ll lead the end-to-end exp...

Location

United States; Canada

Salary:

192352.00 - 230740.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

8+ years of product management experience, with a proven track record building consumer-facing products (B2C) that deliver measurable business and user impact
Deep experience with content-forward platforms—you've partnered with editorial, design, and engineering to ship educational, interactive, or video-first features
Experience in a highly regulated field and/or familiarity with HIPAA compliance a plus
Strong cross-functional collaborator who has worked closely with Engineering, Design, Operations, and Content teams in past roles
Skilled at both zero-to-one and one-to-scale product development. Able to shape a vision, define MVPs, and make fast, insight-driven decisions in highly ambiguous environments. And also able to double down on successful products to drive growth.
Excels in fast-moving, high-ownership environments, especially where not all roles or resourcing are in place from day one
Thrives in scale-up environments where processes are still being built and speed matters
You're comfortable and enthusiastic about working in an AI-forward environment where AI tools are part of daily operations. You embrace technology to enhance your work while keeping people at the center.

Job Responsibility

Own the Babylist Health pre-purchase experience, ensuring the health journey is deeply integrated into the registry and product discovery flow
Increase health attach rates by improving how and when users engage with medical products like breast pumps or lactation consulting
Rethink the Guides experience helping Babylist transform its content into a more modern and dynamic experience
Lead product experiences for educational programming including webinars and podcasts related to registry creation and health, create thoughtful app tie-ins to content experiences
Collaborate closely with cross-functional partners across Engineering, Design, Health Ops, Support, and Content to launch impactful features
Champion the user experience, ensuring that everything we build serves real family needs, especially around lactation, birth, and postpartum education

What we offer

Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Systems Administrator, Cell Manipulation Core Facility

The System Administrator III will work internal to the Cell Manipulation Core Fa...

Location

United States , Boston

Salary:

106000.00 - 123500.00 USD / Year

Dana-Farber Cancer Institute

Expiration Date

Until further notice

Requirements

Knowledge of lab safety and infection control
Knowledge of cell therapy processing, medical, hematologic, oncologic and scientific terminology
Knowledge of Web publishing, ODBC/JDBC interfaces and SQL
Knowledgeable of BOE template builder and ability to collaborate/train on the builder
Ability to assess workload and prioritize and delegate tasks
Ability to accommodate schedule adjustments, as well as off-shift and weekend assignments as workload dictates
Excellent customer service skills and demonstrated ability to develop effective internal working relationships with a diverse employee population
Strong project management skills
Demonstrated competence in managing system projects
Demonstrated competence in writing and executing validation plans

Job Responsibility

The System Administrator III will work internal to the Cell Manipulation Core Facility to manage systems across the Cell Therapy (CT) Networks by implementation and validation of computer systems impacting the department and CT program. The System Administrator III works in conjunction with the project teams from Partners Healthcare System and CMCF technical staff as well as working with DFCI and Partners IS on enterprise systems such as Epic and Sunquest. Systems will include, but are not limited to Partners Order Entry System for Biological Products (BOE/BPAA), Eceptionist, Sunquest, REES Environmental Monitoring systems, Internal Server systems, CMCF FileMaker Databases, FreezerWorks Bio-Repository system selected MES, and other internal systems such as Microsoft Access and Filemaker databases
Demonstrates knowledge of CMCF, clinical and laboratory workflow to incorporate and propose design consideration for CMCF applications
Examines existing business models and flows of data in CT and assists to implement and support the IT manufacturing solutions for the CMCF
Performs thorough data and system analyses and develops a risk-based analysis understanding
communicates the consequences that erroneous data could have on patient care
Creates and maintains the procedures for system use, maintenance, and validation documents for upgrades and continuity of care during down time
Identifies critical data and coordinating / consolidation of existing data systems into the appropriate secure database
Manages all internal computer systems used by the facility and assists in the compilation of relevant data as required for ongoing analysis and quality improvement
Manages the team that submits data to the CIBMTR either via OTTR registry agent or formsnet3
Assists in the implementation / management of software needs for various transfusion management activities for DF clinical lab and teams

Fulltime

Registrar

The purpose of this position is to ensure that the Office of the Registrar promo...

Location

Fiji , Nasinu

Salary:

Not provided

Fiji National University

Expiration Date

July 10, 2026

Requirements

A earned PhD OR Master’s degree in education, administration, or a related field from a recognised University
Significant years of experience in higher education administration, particularly in areas related to student records, registration, academic advising, data management, banner experience
Prior experience of working in academic administration at a senior level
Proven leadership in a range of demanding and influential roles
Proven experience in leading successful organisational change
Extensive experience of working within a regulatory framework
Excellent communication and interpersonal skills, with the proven ability to build productive relationships with senior management and external stakeholders
A commitment to the University’s mission and a sound understanding of the operation of the university
Experience of managing the development of business systems or service improvements, scoping major IT systems
Excellent understanding of the full range of student administration and related services including registry functions, academic records, student admissions and outreach, funding, student data and analysis, examinations and degree conferrals, careers/internships, counselling, student health and welfare, sport, and the student IT experience

Job Responsibility

The purpose of this position is to ensure that the Office of the Registrar promotes access to campus services and maintains timely and accurate records of the progress and accomplishments of students and alumni. In its role as custodian of records, the Registrar guards the integrity and security of those documents as well as the students' legitimate rights to access information from them. The Office of the Registrar supports the educational and administrative responsibilities of academic faculty and professional services staff by gathering and disseminating data efficiently and expediently and by designing and implementing administrative procedures that will ensure the consistent, equitable application of institutional policies and regulations. In all areas, the Office of the Registrar strives to investigate and utilise advanced technologies to accomplish its goals

Staff Artificial Intelligence Machine Learning Engineer

The Role: General Motors is seeking a Staff AI/ML Engineer for the Vehicle Mech...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Graduate degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, or a closely related quantitative field
7+ years of hands-on experience designing, building, and operating machine learning systems in production environments
Strong proficiency in Python (production-quality code, testing, packaging) and SQL, with experience working in shared, multi-developer codebases
Practical experience with core ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
Experience building data and ML workloads on cloud platforms, preferably Microsoft Azure, and working with Databricks, Spark, or similar distributed processing frameworks
Demonstrated ability to turn ambiguous real-world problems into shippable AI/ML solutions, owning the details from data exploration through deployed service and ongoing operation
Strong understanding of ML system behavior in production (data issues, non-stationarity, latency, throughput, failure modes) and comfort debugging with logs, metrics, and traces
Excellent communication and collaboration skills, with a track record of influencing decisions and mentoring other AI/ML practitioners

Job Responsibility

Design, build, and operate end-to-end AI/ML solutions (data pipelines, models, services, and tools) for diagnostics, prognostics, and test analytics
Implement production-grade ML pipelines on platforms such as Azure and Databricks, covering data ingestion, feature engineering, training, evaluation, and inference for batch and streaming workloads
Develop and maintain robust, observable ML services and internal tools that make complex vehicle and field data easy to use for engineers and technical stakeholders
Apply practical ML and statistical methods (e.g., tree-based models, time-series and anomaly detection, deep learning where appropriate) with a focus on reliability, explainability, and impact
Own model and data observability in production, including metrics, dashboards, alerts, and remediation workflows for drift, data quality, and performance regressions
Partner with data engineering to define and use industrialized and vectorized data products that support search, RAG, and analytics at scale
Review designs and code, mentor AI/ML practitioners, and help set high standards for testing, logging, deployment, and documentation
Collaborate with diagnostics/prognostics SMEs, validation, safety, and program teams to prioritize work, define success metrics, and embed solutions in day-to-day engineering workflows

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff AI Engineer

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

8–12 years of experience as a Data Scientist, ML Engineer, or AI Engineer
Strong end-to-end practical expertise in ML/AI/DS
Able to explore, experiment, and deliver independently
Proficiency in scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace, LangChain, Transformers, Pandas, NumPy
Strong communication skills
Collaboration across engineering, data science, product, and security teams
Experience mentoring and guiding junior data scientists
Agentic AI and LLM expertise
Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)
Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems

Job Responsibility

Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows
Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution
Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems
Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks
Partner with engineering teams to ship AI features, integrating models into high-scale systems
Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services
Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance
Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows
Embrace agile development, iterative experimentation, and collaborative problem solving
Mentor junior team members and uplift the technical bar for agentic AI and ML engineering

Fulltime

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Staff Product Designer, Registry

Job Description

Job Responsibility

Requirements

What we offer

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