Member of Technical Staff, Training Infra Engineer Job at Cohere

Member of Technical Staff - Data Infra - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...

Location

United States , Mountain View

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
OR equivalent experience

Job Responsibility

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
Own and maintain critical data infrastructures, including spark, ray, vector databases, and others
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
Embody our culture and values

Fulltime

Member of Technical Staff - Data Infra - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...

Location

United States , Mountain View

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 15+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
4+ years experience with data governance, data compliance and/or data security
Passionate about the role of data in large-scale AI model training
Thrive in a highly collaborative, fast-paced environment
Have a high degree of expertise and pay close attention to details

Job Responsibility

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
Own and maintain critical data infrastructures, including spark, ray, vector databases, and others
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
Embody our culture and values

Fulltime

Member of Technical Staff, Multimodal Infrastructure

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructu...

Location

United States , Mountain View

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience in multi-modal data processing: Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
Experience with state-of-art model inference and serving frameworks
Experience with image/video/audio data processing
Experience with common data formats for efficient I/O
Experience in multi-modal pretraining and post-training: Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
Knowledge of auto-regressive and diffusion transformer models
Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
Proven experiences in at least one of the following areas: image/video generation and editing
efficient architectures (e.g., MoE, window attention)

Job Responsibility

Design, develop and maintain large-scale multimodal data processing pipelines
Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks
Design, develop and maintain large-scale multimodal model inference and serving frameworks
Work with research scientists and product engineers to solve infra-related problems
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

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 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

Production Engineering Manager, Rotational Network Engineering (RNE) Program

This is unique role within Meta's Infrastructure organization. Meta’s Rotational...

Location

United Kingdom , London

Salary:

Not provided

Accountant

We are seeking a detail-oriented Accountant to support daily accounting operatio...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Accounting, Finance, or related field
2+ years of accounting experience
Knowledge of general accounting principles and financial reporting
Experience with general ledger, reconciliations, and close processes
Proficiency in Microsoft Excel and accounting software or ERP systems
Strong attention to detail, organization, and problem-solving skills
Ability to work independently and collaboratively in a team environment
Strong written and verbal communication skills

Job Responsibility

Prepare and record journal entries, accruals, and adjustments
Maintain and reconcile general ledger accounts
Perform monthly bank and account reconciliations
Assist with month-end, quarter-end, and year-end close
Prepare financial statements, reports, and supporting schedules
Analyze account activity and investigate discrepancies
Support accounts payable, accounts receivable, and payroll processes as needed
Help ensure compliance with company policies, internal controls, and accounting standards
Assist with audits by preparing documentation and responding to requests
Contribute to budgeting, forecasting, and variance analysis

What we offer

medical insurance
vision insurance
dental insurance
life insurance
disability insurance
401(k) plan

Fulltime

Critical Environment Technician Manager

In alignment with our Microsoft values, we are committed to cultivating an inclu...

Location

United States , Mount Pleasant

Salary:

75400.00 - 167900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

High School Diploma, GED, or equivalent AND 3+ years mission critical services work/applied learning experience (e.g., high availability assembly/manufacturing/critical infrastructure environments such as data centers, oil and gas refineries, hospitals, pharmaceutical, manufacturing, or related fields) OR equivalent experience
Ability to work shifts, including shift assignments during non-standard business hours that may include evening, nighttime, weekends, and/or holidays
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
High School Diploma, GED, or equivalent AND 6+ years mission critical services experience OR Associate's Degree or technical trade certification (e.g., military, trade school), or higher-equivalent education AND 5+ years mission-critical services experience OR equivalent experience
1+ year(s) people management experience
1+ year(s) experience in a specialized area (e.g., mechanical field, electrical field, controls field) or related field

Job Responsibility

People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model - Live our culture
Embody our values
Practice our leadership principles. Coach - Define team objectives and outcomes
Enable success across boundaries
Help the team adapt and learn. Care - Attract and retain great people
Know each individual’s capabilities and aspirations
Invest in the growth of others
Equipment and Systems Operations: Serve as an operations specialist one or more major area of operations (e.g., electrical, mechanical, controls, generators, and work on advanced tasks independently. Oversee and coach team with the inspection of critical environment-related facility equipment (e.g., controls, heating, ventilation, and air conditioning [HVAC], mechanical systems), building, and grounds regularly for unsafe or abnormal conditions to develop and analyze trends. Monitor performance of maintenance and operations utilizing telemetry, control systems, and other platforms and is able to identify all alarms. Utilize internal computerized maintenance management system (CMMS) to track all equipment assets and to complete work order requests for maintenance work and generate reporting to identify outstanding and ongoing work orders. Safely and quickly respond to and lead an onsite incident response team for all abnormal conditions that impact operations and coordinate with other critical facilities professionals to perform corrective repairs. Enhances, develops new, or follows preexisting emergency operating procedures (EOPs), methods of procedure (MOPs), and standard operating procedures (SOPs) in relation to incidents. Gathers necessary information and creates incident timelines/data, root-cause analyses, and/or action items following an abnormal condition
Equipment and Systems Maintenance: Guide, oversee, and perform various types of maintenance (e.g., planned, predictive, corrective) and repairs following methods of procedure (MOPs), and standard operating procedures (SOPs) for one or more disciplines and one or more types of equipment (e.g., electrical, mechanical, cooling systems) and escalate when appropriate. Serve as a subject matter expert for one type of equipment and oversee everyday tasks and troubleshooting within their area of expertise. Have a hands-on understanding of how equipment works within disciplines they have been trained and how to troubleshoot equipment, systems, subsystems, and components independently within their trained discipline(s). Provide and/or assign team to provide necessary escort to third-party contractors, sub contractors, vendors, and service providers on site for all severity leveled procedures. Coordinate and schedule supplier/vendor on-site activities and recognizes circumstances when to stop supplier work to address potential and/or identified concerns. Take part in getting third-party work underway (e.g., making sure systems are properly energized/deenergized), ensuring the work is started and completed in a safe manner in accordance with standard practices, procedures, federal/local legislation, and municipal codes. Advises junior colleagues on inspection and supervision issues. Provides consultation to lower-level colleagues in troubleshooting systems and problems
Critical Environment Culture: Understands, follows, ensures, and coaches team on safety and security requirements (e.g., job hazard assessments [JHAs], toolbox talks), and business processes and procedures to properly perform work in a safe, quality, and reliable manner in accordance with applicable federal, state, local, and Microsoft requirements. Proactively ensures safety and security requirements are followed and met for the work of themselves and others. Maintain safe working conditions and escalate immediately when unsafe working conditions are observed. Assesses and identifies appropriate resources and equipment necessary to fully support environmental health and safety (EH&S) objectives. Participates in required meetings, trainings, and necessary handoffs

What we offer

Benefits and other compensation (details at https://careers.microsoft.com/us/en/us-corporate-pay)

Fulltime

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Member of Technical Staff, Training Infra Engineer

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