Member of Technical Staff, Training Infra Engineer Job at Cohere

New

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 - 300000.00 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

New

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 - 300000.00 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

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

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

New

Pharmacy Technician

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Studio City

Salary:

19.46 USD / Hour

CVS Health

Expiration Date

April 10, 2026

Requirements

Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
State-level licensure and national certification requirements vary by state
Regular and predictable attendance, including nights and weekends
Ability to complete required training within designated timeframe
Attention and Focus: Ability to concentrate on a task over a period of time
Ability to pivot quickly from one task to another to meet patient and business needs
Ability to confirm prescription information and label accuracy, ensuring patient safety
Customer Service and Team Orientation: Actively look for ways to help people, and do so in a friendly manner

Job Responsibility

Support the pharmacy team in delivering operational and service excellence
Assist the pharmacy team to ensure that pharmacy operations run smoothly, our patients’ prescriptions are filled promptly, safely, and accurately, and we are providing caring service that exceeds patient expectations
Operate as part of the pharmacy team through consistent application of Standard Operating Procedures (SOPs), best practices, and effective communication
Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
Contributing to positive patient experiences by showing empathy and genuine care: creating heartfelt and personalized moments while serving patients at pick-up, drive-thru, and over the phone
keeping patients healthy by offering immunizations and other services at the register and over the phone
and demonstrating compassionate care by solving or escalating patient problems
Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team, such as accurately putting away medication deliveries and completing cycle counts, returns-to-stocks, waiting bin inventories, etc.
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
actively seeking opportunities to expand clinical and technical knowledge needed to better assist patients

What we offer

Affordable medical plan options
a 401(k) plan (including matching company contributions)
an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Fulltime

New

Research Fellow

The research will advance the use of multiple systems estimations in humanitaria...

Location

United Kingdom , London

Salary:

45728.00 - 51872.00 GBP / Year

London School of Hygiene & Tropical Medicine

Expiration Date

March 03, 2026

Requirements

Postgraduate degree, ideally a doctoral degree, in a relevant topic
Proven expertise in data science or related fields
Strong skills in quantitative analysis applied to large or complex datasets
Knowledge of social media data sources, including accessibility, platform characteristics, ethical considerations
Experience developing or applying search strategies and lexicons
Proficiency in fitting and validating statistical models or machine learning algorithms
Advanced skills in R and/or Python for data processing and analysis
Familiarity with natural language processing techniques, such as text pre-processing (tokenization, stemming/lemmatization) and feature extraction

Job Responsibility

Advance the use of multiple systems estimations in humanitarian and public health contexts
Develop reproducible, multilingual workflows for social media analysis
Build data pipelines in R/Python
Create open-source tools for text and feature extraction
Assess and mitigate biases in social media data
Design evidence-based heuristics to guide researchers in applying these methods effectively

What we offer

Annual leave entitlement is 30 working days per year, pro rata for part-time staff
Discretionary “Wellbeing Days”
Membership of the Pension Scheme

New

Senior Manager, Staff Counsel

GEICO is seeking a Senior Manager of multiple Staff Counsel office activities in...

Location

United States , Nashville; Knoxville; Memphis

Salary:

Not provided

Geico

Expiration Date

Until further notice

Requirements

Juris Doctor degree REQUIRED
Must be licensed in good standing to practice law in applicable jurisdictions and meet and maintain licensing requirements including mandatory Continuing Legal Education (CLE) requirements where applicable
Must have a minimum of 10 years of litigation experience, including insurance defense or personal injury
Must be able to travel as required, including but not limited, to attend trials, hearings, depositions, management meetings and conferences
Must be able, with or without accommodation, to perform the essential functions which include, but are not limited to, thinking (concentrating, focusing, assimilating information), reading, writing, listening, typing, speaking, bending, reaching, lifting, and standing for extended periods
Must be able to communicate in a professional manner in person, via telephone and written correspondence/email
Must be able to document files in a clear, concise, professional written manner, to be understood by customers, clients, co-workers and other employees of the organization
Must be able to follow complex instructions, resolve conflicts or facilitate conflict resolution, and have strong organization/priority setting and multi-tasking skills
Must demonstrate successful performance in handling primary trial responsibility for cases of significant severity and complexity

Job Responsibility

Manages subordinates in all activities relating to the defense of lawsuits and against GEICO insureds in liability and property damage cases, and on behalf of GEICO in UM/UIM and Subrogation suits
Interviews and/or approves job applicants for employment
Conducts and/or reviews associate Performance Appraisals
Initiates or approves salary adjustments, performance ratings, and other personnel changes
Counsels associates and take disciplinary action or terminate the employment of associates as appropriate
May represent GEICO insureds in liability cases, and UM/UIM, subrogation, and PD suits filed in courts of limited and unlimited jurisdiction
Research laws and prepare legal briefs, opinions, and memoranda
Renders opinions on liability, damage, and value as requested by the Claims Department
May prepare and handle pleadings, motions, and discovery, to include depositions/examinations before trial and examinations under oath, and other deadlines
Trains and supervises less experienced attorneys, including assisting attorneys as first and second chair counsel, and/or observing attorneys at trials and arbitrations

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

New

Clinical Reviewer Specialist

The Clinical Reviewer Specialist role involves conducting clinical reviews to pr...

Location

Philippines , Manila

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

1-3 years of experience in processing appeals or utilization management
US Registered Nurse (USRN)
Knowledge of utilization management process
Knowledge of NCQA, Medicaid regulations
Good communication (Demonstrate strong reading comprehension and writing skills)
Able to work independently, strong analytic skills
Required shift timings - US daytime

Job Responsibility

Performs clinical reviews needed to resolve and process appeals by reviewing medical records and clinical data to determine medical necessity for services in accordance with policies, guidelines, and National Committee for Quality Assurance (NCQA) standards
Prepares case reviews for Medical Directors by researching the appeal, reviewing applicable criteria, and analyzing the basis for the appeal
Ensures timely review, processing, and response to appeal in accordance with State, Federal and NCQA standards
Communicates with providers, facilities and other departments regarding appeal requests
Generates appropriate appeals resolution communication and reporting for the member and provider in accordance with company policies, State, Federal and NCQA standards
Works with leadership to increase the consistency, efficiency, and appropriateness of responses of all appeal requests
Partners with interdepartmental teams to improve clinical appeals processes and procedures to prevent recurrences based on industry best practices
Uses sound judgement, especially in non-routine appeals, to make decisions to keep the appeal process moving forward in accordance with contractual timeliness standards
Maintain files on individual appeals by gathering, analyzing and reporting verbal and written member and provider appeals
Review claim appeal for reconsideration and recommend approvals/denials based on determination level or prepare for medical review presentation

Member of Technical Staff, Training Infra Engineer

Cohere

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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