📍London | UK remote | 💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

About the Synthetic Chemistry, CMC and Logistics team

Our dynamic team of Synthetic Chemists and CRO Leads are dedicated to transforming drug design and manufacturing. We work in partnership with our AI/ML and drug discovery colleagues to support all phases of chemistry, from early to late stages, as well as managing our extensive external CRO team. We promote a supportive atmosphere where the diverse expertise of every team member is recognised and appreciated. We maintain a strong growth mindset, with continuous development and learning as a priority.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

Your impact

As part of the ongoing expansion of our Drug Design and Medical Research function, we are hiring Synthetic Chemists who are keen to impact medicinal chemistry projects and/or CMC projects. You will support the business alongside world-leading AI/ML Drug Design Platform teams. You will deliver scientific expertise and strategic direction to drive improvements in the Platform and the advancement of active drug discovery programs.

What you will do 

• Apply your Synthetic Chemistry expertise across Medicinal Chemistry and/or CMC projects.
• Act as a Synthetic Chemistry Lead in one or more active drug discovery programs.
• Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support the data-driven delivery of high quality scientific solutions to complex technical problems.
• Work cross-functionally with the Medicinal Chemistry, DMPK, Biology, and Technology teams.
• Represent the company externally, interacting with existing and prospective collaborators including Contract Research Organisations (CROs) and Contract Development & Manufacturing Organisations (CDMOs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in Synthetic Chemistry, or a related technical field, or equivalent industrial experience.
• 3+ years’ professional experience in a Chemistry role, operating within a biotech, pharma or CRO setting. 5+ years' experience for more senior positions.
• Solid technical foundation in synthetic chemistry with previous experience operating independently as an individual contributor.
• Excellent problem-solving and decision-making capabilities applied to complex synthetic chemistry challenges.
• Experience of working with and closely managing CRO and/or CDMO resources.
• A genuine passion for drug discovery and enthusiasm for the potential of AI/ML to transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• Track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

This is a hybrid role (4 days in office / 1 day remote)

Interactive Brokers is looking for an experienced Data Analyst with data analysis experience, preferably in the commodities or securities industry. This position is responsible for handling compliance supervision over reporting to various non-financial systems. Prior experience working with order audit trail reporting systems, order handling or trading systems, or client data is highly desired but not required.

Responsibilities:

This position is focused on the Consolidated Audit Trail (“CAT”) reporting systems and compliance supervision to ensure that the firm has complied with the rules. This is an operational and oversight function that requires the ability to read regulations, research and analyze data, understand technical implementations of systems, and devise control procedures to test compliance.

Experience in researching transactional reporting issues to form evidence-based conclusions is a necessary skill. Experience in data analysis and/or system development or improvement is strongly preferred. While preference will be given to individuals with financial services industry experience, similar compliance experience in another industry will also be considered.

Specific Job Responsibilities:

• 1–2 years of experience as a Data Analyst/Data Scientist
• Reviewing regulatory data to identify root causes and necessary remediation for errors
• Using UNIX command tools to make corrections to records as needed
• Developing surveillance for regulatory reporting and operational data
• Automating the CAT Feedback system
• Following up with software developers and/or management on any errors or exceptions that arise
• Gathering facts to assist the firm in responding to examinations and formal inquiries
• Proposing improvements to, or additional controls over, regulatory reporting

Qualifications:

• Bachelor’s degree required, preferably in a quantitative or analytical field
• Experience in an analytical role, preferably in the financial industry
• Strong data analysis, investigatory, and problem-solving skills
• The ideal candidate would have some degree of self-sufficiency in performing data analysis using common programming languages (e.g., Python, Perl) and database queries (e.g., SQL)
• Regulatory research and interpretation skills
• Strong written and verbal communication skills, including the ability to discuss and write about complex topics in a manner that is both precise and persuasive
• Familiarity with, or the ability to learn, advanced Excel skills is required (e.g., pivot tables, macros)

Familiarity with the following is a plus:

• FINRA Consolidated Audit Trail (“CAT”) / Order Audit Trail (“OATS”) systems
• FIX protocol

Technological orientation is required, with the following specific skills highly valued:

• UNIX knowledge is part of this job and must be learned on the job, but prior experience is preferred
• Programming skills in Python, Perl, or Go are highly desirable
• Experience using Atlassian systems (e.g., Confluence and JIRA) is a plus

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision
• Superb analytical and problem-solving skills
• Excellent collaboration and communication (verbal and written) skills
• Outstanding organizational and time management skills

Company Benefits & Perks

• Competitive salary, annual performance-based bonus, and stock grant
• Retirement plan 401(k) with competitive company match
• Excellent health and wellness benefits, including medical, dental, and vision coverage; company-paid healthcare premium
• Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP)
• Daily company lunch allowance and a fully stocked kitchen with healthy options for breakfast and snacks
• Corporate events, including team outings, dinners, volunteer activities, and company sports teams
• Education reimbursement and learning opportunities

Your impact 

As the PKPD Lead, you will develop the quantitative pharmacology strategy of drug discovery projects to deliver high quality clinical candidates, whilst using and contributing to the optimisation of state-of-the-art computational and AI drug design models. As part of the DMPK and Quantitative Pharmacology team, you will champion the use of model-informed drug discovery and development on both small molecule and biologics projects. You will work closely with the Biologics Discovery team to further develop AI models for biologics developability.

If you are an experienced and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

What you will do 

PKPD Lead

• Design and implement quantitative pharmacology strategies with an AI-first approach, from target identification to pre-clinical development.
• Provide scientific leadership and integrate PK and quantitative pharmacology strategies for biologics projects, within the broader project strategy. As a member of the project core team, you will collaborate closely with colleagues in Drug Design, Pharmacology, ML Engineering, and Preclinical and Clinical Development to resolve PK and PD challenges.
• Develop advanced PKPD models for biologics and small molecule projects in collaboration with the DMPK and Pharmacology Leads.
• Contribute to the choice of modality that is the most appropriate for each target. Develop the target molecule profile at the inception of the project.
• Integrate PK, PD and toxicological data to extract decision-making information through mechanistic and empirical models, including dose and safety margin predictions for biologics projects.
• Author PKPD sections of regulatory documents.

ML interactions

• Partner with Machine Learning colleagues to integrate PK and PD aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive models.
• Identify state-of-the-art integration methods that could bring transformational benefits to our platform or ways of working.
• Support the development of the biologics developability platform by identifying high-throughput techniques to predict the PK behaviour of various biologics formats.

CRO interactions

• Since IsomorphicLabs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based developability models.

People

• Mentor junior members of the DMPK and Quantitative Pharmacology  team.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, or Chemistry or another relevant subject.
• 3+ years of related experience in the pharmaceutical industry.
• Experience as a PKPD Lead, solving PKPD-related problems in biologics projects with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing high quality quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling for biologics.

Nice to have:

• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery and development projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will support the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. You use your expertise in PBPK modelling to make data integration a powerful tool to accelerate drug design and preclinical development.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs now will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Define Iso’s PBPK strategy leading to fit for purpose models that drive drug design and accelerate accelerate preclinical development.
• Design and implement stage-appropriate development DMPK strategies with AI-first approach, integrate the quantitative pharmacology and overall project strategies.
• Design mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise molecule design and formulation based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 5+ years’ professional as a DMPK Lead, solving DMPK-related problems in preclinical development with a track record of working collaboratively to deliver regulatory-ready FIH packages.
• Practical experience in setting up automated PBPK workflows.
• Practical experience in using PBPK to support preclinical development.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling.
• Experience of partnering closely with Preclinical and Clinical teams.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. 

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies.
• Design screening cascade and mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.
• Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In depth knowledge of biotransformation.
• In depth knowledge of PK modelling and scaling of ADME properties.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

As a Sr. Research Scientist on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Sr. Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.

We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
• Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
• Stay up to date with the latest research and proactively propose innovative applications.

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
• 2+ years of experience in ML or LLM.
• Proficient in Python.
• Proficient in one of the below
  1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
  2.LLM applications development techniques: RAG, agent, chatbots.
• Able to evaluate models with systematic and quantitative analysis.
• Strong data intuition and familiarity with basic statistical concepts.

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.

#LI-AK1

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

회사 소개

CLS (Coupang Logistics Services)는 택배사업, 화물운송, 화물주선, 물류창고, 화물분류 등 종합 물류 서비스를 제공하는 쿠팡의 물류전문 계열사입니다. CLS는 국토교통부로 지정 받은 택배운송사업자로서 전국단위의 배송캠프에서 업계 최초로 도입한 분류작업전담인력과 직영 전문 배송직 쿠팡친구, 그리고 전국 단위 택배 영업점을 통해 고객에게 최적의 배송서비스를 제공하면서 쿠팡의 로켓배송을 완결하는 역할을 담당하고 있습니다. 로켓배송을 통해 미래 물류의 혁신을 이끌어 온 종합물류서비스 기업으로서 CLS는 로켓배송의 노하우, 인프라, 네트워크 등을 연계하여 물류 혁신을 통한 더 나은 고객감동을 만들어 나갈 것입니다.

직무 소개

CLS FP&A – Business Analyst 팀은 CLS Business Analysis로서 쿠팡의 Logistics 비즈니스 의사결정을 지원하기 위해 데이터의 분석, 품질, 가용성, 깊이를 책임지는 핵심 프로젝트를 주도합니다.

SQL 및 기타 분석 언어에 대한 전문성과 ETL 개발, 다양한 데이터 분석 기법을 기반으로, 조직 전반의 의사결정에 필요한 신뢰도 높은 데이터와 가시성(visibility)을 제공합니다.

이 과정에서 엔드투엔드(E2E) 물류 운영을 재무 관점에서 구조적으로 분석하고, 운영 데이터와 FP&A를 연결하여 비용 효율성, 서비스 수준, 사업 확장성에 대한 핵심 의사결정을 리딩합니다.

Fulfillment Center의 세부 운영, Linehaul, Last‑mile 전반에 걸친 복잡한 물류 구조를 데이터와 재무 지표로 해석·정량화 함으로써, 경영진과 조직이 속도·비용·품질 간의 Trade-off를 명확히 이해하고 합리적인 선택을 할 수 있도록 지원합니다.

업무 내용

• Project data 구축, KPI 설계 및 추적, 모델링
• 주요지표 트레킹 및 관리를 위해 시각화 자동화 대시보드 개발 및 관리
• 업무 협력 시 데이터 요구사항에 대해 명확히 이해하고, 정량적 분석 및 비즈니스 이슈의 근본원인을 파악하여 데이터 기반 방향성 제시
• 철저하고 정확한 데이터 기반의 인사이트를 제시하여 비즈니스 관련 합리적인 의사 결정 기회 제공

자격 요건

• Business Analyst, Data Analyst, FP&A, Data Scientist 등 데이터 분석 기술을 필요로 하는 업무 약 5년 이상의 경험
• SQL/HQL 전문 지식과 ETL 및 dimensional modeling 경험
• Tableau, Power BI와 같은 데이터 시각화 툴 3년 이상 사용 경험
• 분석적이고 디테일에 강하며, 비즈니스 감각이 있으신 분
• 업무의 우선 순위를 효율적으로 정하고, 빠르고 역동적인 환경에서 효과적인 결과를 달성할 수 있는 역량 (멀티테스킹 역량)

우대 사항

• 정량분야의 학사 (STEM, Finance, Economics, Statistics 등)
• Hive, Presto, Hadoop, Spark 등의 빅데이터 기술 활용도
• 이커머스, 로지스틱스, 스타트업(물류, 핀테크), 파이낸스팀 근무 경력을 보유하신 분
• A/B 테스팅 PM 또는 PO경력
• 비즈니스 영어 소통
• 데이터 파이프라인 구축 경험
• 데이터 모델링 혹은 데이터 디자인 경험
• 공학 및 비지니스 학위 (석/박사 or MBA)
• 기술 분야 석사학위 소지자
• 통계 분야 경험이 많은 분

전형 절차 및 안내 사항

전형 절차

• 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격
• 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고 사항

• 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
• 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
• 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
• 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
• 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다.

개인정보 처리방침

• 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy

서류 반환 정책

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다.
2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangls.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

What You Will Contribute To Altos

An exciting opportunity is available for a Scientist II to join the Larrieu group at Altos Labs, Cambridge Institute of Science (Cambridge, UK). At Altos, the Larrieu lab is exploring both fundamental questions and translational opportunities. We are seeking a very highly motivated, versatile, creative, and collaborative individual, who is passionate and dedicated about employing their expertise to unravel the deep biology of cell health and resilience. This includes the elucidation of the mechanism of action of specific interventions that can reverse, halt or mitigate the effects of ageing on cell health. 

Responsibilities

• Elucidate processes that contribute to the age-related erosion of cell/tissue resilience.
• Engage in ground-breaking and innovative science and in Altos scientific activities.
• Develop project-specific experimental strategies, techniques, and procedures including new assays and pipelines to support translational projects.
• Lead, design and execute in vitro and in vivo experiments for identification and validation of targets with therapeutic potential
• Develop and implement biochemical and cellular assays to support screening and characterization of potential candidate therapies
• Collaborate widely across Altos to multiply efforts, gain insight into the centrality of the nuclear envelope in ageing and identify potential new therapeutic avenues          
• Collaborate with multidisciplinary teams including chemists, pharmacologists, and bioinformaticians to advance drug discovery projects.
• Present data to a variety of audiences including senior executives through entry-level employees.

Who You Are

Minimum Qualifications

• PhD in life sciences with 3-5 years of relevant postdoc/industry experience
• Extensive experience in mammalian cell culture (including primary cells).
• Strong background in molecular and cell biology with experience in assay development and validation, to support pre-clinical studies.
• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Strong sense of collective ownership of projects within the group and Altos.
• Critical, visionary, and creative thinking with an ability to formulate scientific questions, design strategies, and implement plans effectively.
• Strong organizational skills to manage multiple tasks simultaneously, prioritize workloads, and meet deadlines.
• High level of rigor and precision in experimental procedures, data recording, and documentation.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members and the community

Preferred Qualifications 

• Understanding of in vivo delivery systems such as AAV, LNP, lentivirus etc.
• Biochemistry skills, including biochemical and enzymatic assay development
• Some proficiency in R and Python to support data analysis
• Prior industry experience

The salary range for Cambridge, UK:

• Scientist II, Biological Sciences: £61,400 - £80,800

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Sobre a vaga e missão do cargo 

Você fará parte do nosso time de Precificação e atuará com projetos de ciência de dados.

No seu dia a dia, você vai: 

• Desenvolver, validar e manter modelos preditivos e analíticos que apoiem decisões estratégicas do banco;
• Traduzir problemas de negócio em hipóteses e modelos quantitativos;
• Realizar análise exploratória de dados (EDA) e engenharia de features;
• Avaliar performance, estabilidade e viés dos modelos;
• Documentar modelos de forma clara e auditável;
• Apoiar a implementação e monitoramento contínuo dos modelos em produção;
• Apresentar resultados de forma clara para públicos técnicos e executivos.

O que buscamos 

Obrigatórios:

• Graduação completa em Estatística, Ciência da Computação, Economia ou áreas correlatas;
• Protagonismo, visão crítica e capacidade de comunicar resultados técnicos de forma clara para diferentes níveis de público;
• Sólida experiência com modelagem preditiva e estatística aplicada;
• Domínio de ferramentas analíticas e linguagens como Python e SQL;
• Forte habilidade em manipulação de dados e validação de modelos;
• Capacidade de documentação técnica e organização;
• Conhecimento em controles de versão (git);
• Boas práticas de programação e organização de código.
• Será diferencial se tiver experiência prévia em precificação e/ou no setor financeiro;
• Conhecimento em plataformas de Cloud (preferencialmente AWS).

Desejáveis:

• Conceitos de MLOps;
• Deploy de modelos;
• Re-treinamento automatizado;
• Containers (Docker) e APIs;
• Experiência em instituições financeiras;
• Experiência em projetos de precificação.;
• Atuação prévia com dados críticos (risco, crédito, liquidez);
• Experiência em escalar soluções de dados do piloto à produção;
• Conhecimento prático em governança de dados.

Benefícios 

• Vale-alimentação e Vale-refeição;
• Plano de saúde e odontológico;
• Seguro de vida;
• DayOff de Aniversário;
• Baby On Board e Sala de Amamentação;
• Licença parental estendida;
• Auxílio-creche/babá e/ou auxílio para filhos com deficiência;
• Wellhub e Grupo de Corrida Inter;
• Espaço CARE4U (Belo Horizonte): serviços de autocuidado com valores exclusivos, área de descompressão, jogos e minicampo de golfe;
• Vantagens no nosso SuperApp, como Duo Gourmet;
• Cartão Prime Inter;
• Programas de treinamento e capacitação internos.

Etapas do Processo Seletivo

• Triagem de currículos;
• Screening (abordagem inicial para alinhamento de expectativas sobre a vaga);
• Assessments;
• Entrevista com Time de Talent; 
• Teste técnico (quando necessário);
• Entrevista com a liderança;
• Proposta de Contratação (Offer).

Summary:

Vaxcyte is seeking an Associate Scientist II (Contract), Conjugation Development, who will contribute to the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on the synthesis, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The successful candidate will apply a strong foundation in analytical chemistry and laboratory techniques to optimize and troubleshoot processes, while also supporting related areas such as analytical development and stability studies. This position requires strong organizational skills, clear communication, and the ability to work in a fast-paced, cross-functional environment.

Essential Functions:

• Perform and optimize multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF).
• Analyze polysaccharides and conjugates using methods such as colorimetric assays, HPLC assays, SEC-MALS, and SDS-PAGE, and contribute to method bridging studies and qualification to ensure robustness and consistency.
• Maintain accurate, well-organized experimental records and support data verification and analysis to enable process optimization and reproducibility.
• Assist with troubleshooting of synthesis, purification, and analytical procedures.
• Track inventory of critical reagents and assist with ordering as needed.
• Support maintenance of assigned lab instruments, perform general lab duties, and contribute to training new team members.
• Present experimental results and progress updates at group meetings.
• Contribute to laboratory protocols, reports, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 2 years of industry experience, or MS degree with minimum 1 years of industry experience.
• Experience with laboratory-scale protein purification methods such as dialysis, diafiltration, and size-exclusion chromatography; experience with TFF is desirable.
• Working knowledge of analytical methods including colorimetric assays, HPLC, SEC, and SDS-PAGE.
• Hands-on experience with protein conjugation reactions or chemical modification of polysaccharides is desirable.
• Strong attention to detail, organizational skills, and record-keeping abilities.
• Effective communication skills, both verbal and written.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Enthusiasm for learning new skills and applying them to challenges outside of current expertise.
• Commitment to integrity, professionalism, and safety in all aspects of work.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Smartsheet is seeking a Senior Data Scientist to drive growth and customer retention through Applied AI and advanced analytics. With thousands of subscribing organizations and millions of users, you will have the opportunity to make a meaningful impact by leveraging data science to drive Sales, Customer Success, and Monetization strategies. You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Go to Market Teams and will be a part of Smartsheet's Data Science & Business Intelligence team.

You Will:

• Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
• Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
• Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention
• Drive the full analytics lifecycle from understanding the business objective, analyzing the data to developing automated reporting and visualizations
• Collaborate with cross-functional teams to integrate data science solutions into business processes
• Effectively present analysis to both technical and non-technical audiences and give data-based recommendations to encourage data-driven decisions 
• Drive a data culture within the Go To Market  teams

You Have:

• Bachelor's degree and 8+ years of experience (or 10+ years of experience)
• Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
• Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
• Strong programming skills in Python or R
• Proficient in SQL and skilled in visualization tools (ex. Tableau)
• Strong track record of forming effective cross-functional partnerships
• Experience using data to meaningfully impact Sales & Customer Success strategy execution
• Experience communicating analysis clearly to others
• Ability to research and learn new technologies, tools, and methodologies
• Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
• As a senior member of the data science team help mentor and help grow members of the team

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role: 

As a Senior Data Scientist for Go-to-Market at fal, you will be the analytical backbone of our revenue organization. Embedded directly with the GTM function, you will own the metrics that tell us how our pipeline is performing, how our sales team is executing, and where the next dollar of revenue is most likely to come from.

This is a high-leverage, high-visibility role. GTM leadership will look to you for the answers - on rep performance, quota attainment, pipeline health, AM coverage, and segment economics - and you'll shape both the questions we ask and the systems we build to answer them. You'll partner closely with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, while acting as the embedded specialist for everything GTM.

Key responsibilities:

• Own the metrics and reporting that drive sales execution at fal: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
• Partner directly with the sales leadership and rev-ops to translate strategic questions into measurement frameworks and weekly operating cadences.
• Build the data foundations that make GTM analytics first-class: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
• Run rigorous deep-dives - win/loss, lead source effectiveness, segmentation, expansion drivers - that change how GTM allocates time and headcount.
• Shape the CRM, internal tooling, and downstream data models that everyone in GTM depends on, and set the standards for how GTM data is captured, joined, and trusted.

Requirements:

• 5+ years of experience in data science or analytics roles, with at least 3+ years specifically in GTM, RevOps, or sales analytics at an enterprise or B2B SaaS company. This is a hard requirement - we are looking for someone who has seen many variations of this problem and can run with it.
• Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
• Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales org.
• Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production-grade pipelines.
• Proven ability to operate as an embedded analytics partner - building trust with sales leadership and translating ambiguous strategic asks into clear measurement.
• Demonstrated bias for action; you set up the dashboard, write the SQL, and ship the framework yourself when needed.
• A track record of shipping data products that change behavior, not just dashboards that get viewed once.

Nice to have:

• Experience supporting both self-serve/PLG and enterprise sales motions.
• Experience working on developer-facing or API products.
• Familiarity with usage-based pricing and consumption-driven sales motions.
• Early-stage or fast-scaling environment experience.

Compensation

• $180,000-225,000 plus equity + benefits (This range is across 2 levles Senior and Staff)

Location

• San Francisco, CA (willing to consider remote for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco.

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

Tech Lead – Data Scientist

About the Role

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

• Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
• Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
• Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.

What We’re Looking For

• 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
• A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
• Expert-level proficiency in Python and modern ML/data tooling.
• Working knowledge of core security domains, or a strong ability to learn.
• Experience formulating fuzzy business or security problems as concrete ML/data problems:
• able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
• comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

• Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

What You’ll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot’s audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

Qualifications and Education Requirements:

Preferred Skills:

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking.

As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies.

What You'll Be Doing:

• Design, develop, and deploy machine learning models for ads targeting and ranking.
• Develop sophisticated ML solutions such as identity graph to enhance ad targeting.
• Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click).
• Improve ads targeting and ranking by leveraging both on-platform and off-platform signals.
• Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap.
• Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making.
• Drive research and implementation of state-of-the-art ML techniques in the field of online advertising.

What You Should Have:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement).
• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with applied deep learning (e.g transformers, embedding models).
• Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications.
• Experience working with real-time ML inference, A/B testing, and optimization frameworks.
• Experience translating ML evaluation results and performance metrics into actionable product roadmap items.
• Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve.

Bonus Skills:

• Strong understanding of performance advertising and how ML impacts revenue and advertiser retention.
• Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc.
• Experience with large-scale recommendation systems.
• Experience with large-scale data infrastructure and distributed computing

The US base salary range for this full-time position is $220,000 to $247,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

RES is looking for a Scientist II to join our team.

As a Scientist II at RES, you will support the implementation, monitoring, and success of ecological restoration projects across diverse ecosystems. This is a mid-level field and data-focused role that combines fieldwork, technical reporting, and cross-functional coordination to support permitting and compliance documentation. You will collect and manage data, contribute to project reporting, and bring applied knowledge of restoration science to project execution.

Watch the projects our scientists work on here.

Why You’ll Love This Job:

• You’ll get your boots dirty—literally. You’ll spend meaningful time in the field, collecting the data that drives real-world ecological restoration.
• You’ll see the impact of your work. Your efforts support the restoration of wetlands, streams, and habitats that improve ecosystems and communities across the region.
• You’ll learn from the best. With the support of senior scientists and cross-functional project teams, you’ll continue to grow your expertise in restoration science and applied ecology.

What your day-to-day might look like:

You’ll begin your day prepping field gear for a monitoring visit to a stream or wetland mitigation site. Once on-site, you may collect data using GPS, YSI meters, or turbidity sensors, following project-specific protocols and QA/QC standards. You’ll help guide junior team members, ensure field datasheets are accurate, and troubleshoot equipment as needed.

Back at the office, you’ll enter and analyze field data, draft sections of monitoring reports, and interpret site plans or planting palettes. You might meet with design or regulatory teammates to discuss crediting metrics, or help evaluate a site’s feasibility based on regulatory or ecological constraints. You’ll balance independent work with collaborative efforts to move restoration projects forward.

We would like to talk to you if you have many of the following:

• Bachelor’s degree in environmental science, biology, geology, or a related natural/physical science field
• 2+ years of experience in fieldwork, sampling, ecological monitoring, etc.
• Experience in collecting field data independently and following SOPs
• Experience in Wetland delineation and stream assessment
• Experience with vegetation surveys
• Comfortable evaluating site conditions and regulatory constraints
• Familiar with project task tracking and regulatory requirements
• Proficient in GPS/GIS tools
• Skilled in data analysis and technical report writing

What will make you stand out:

• Ability to apply ecological functional protocols
• Certifications (e.g., ArcGIS, drone pilot, YSI/turbidimeter experience) -

You Will Thrive in This Role If You:

• Are comfortable in the field and in the office—and enjoy a balance of both
• Can collect, organize, and interpret scientific data with care and accuracy
• Communicate effectively and take ownership of your tasks
• Can help guide junior field staff and contribute to team learning

Hex's user base is continuing to grow rapidly. We are hiring a Sales Engineer to partner with potential customers to support their Hex evaluations.

About the role

Hex is redefining how teams work with data - combining notebooks, apps, BI, and AI-native workflows into a single collaborative analytics platform. Companies like Anthropic, Cursor, and Brex rely on Hex as a core part of how their data teams operate.

We’re at an exciting stage of growth. Hex is scaling rapidly, with strong momentum in the mid-market and SMB segments. This is a high-impact moment to join: our go-to-market motion is accelerating, our AI capabilities are evolving quickly, and Sales Engineers play a central role in shaping how we win.

As a Sales Engineer, you will leverage your product, ecosystem, and technical expertise to shape how our potential customers evaluate and adopt Hex. You will partner with the Sales team to help prospects understand the challenges in their current state, connect Hex’s value to those challenges, own the technical evaluation, and set them up for long-term success as a customer. This is a consultative, highly technical position where you’ll influence deal strategy, inform product direction, and act as the voice of the customer.

If you want to learn more about the team, what we do, and how we work, please check out our team page!

What you will do

• Serve as a trusted technical advisor to data teams (think: Data Scientist or Analyst writing SQL and Python) and build strong relationships to help them get the most out of Hex during their evaluations
• Own the technical sales cycle and work with end users throughout the Sales cycle from discovery and product demos through trials, and proofs of concept
• Partner closely with Account Executives to develop opportunity-level strategy, execute evaluations, and share feedback to improve your partnership
• Inform the product roadmap by synthesizing product feedback from prospects to share with internal Engineering & Product teams
• Project manage the architecture, security, and technical reviews that prospects require
• Develop content to support users who are a part of evaluations ie. demo projects, documentation, videos, etc.
• As needed, travel to customer on-sites and marketing events to deliver demos and build strong customer relationships

Who you might be

You might be a fit for this role if you have:

• 5+ years of professional work experience
• 3+ years in a Sales Engineer, Solutions Engineer, or similar customer-facing technical role
• Experience working with Mid Market customers (250-2500 employees)
• Experience with land POC/Technical Sales Motions
• Familiarity with data science tooling and workflows, including Python, SQL, and BI tools (Bonus points if you have spent lots of time in notebooks, SQL IDEs, or app-building frameworks.)
• A strong track record of talking to customers - from IC users to senior stakeholders - and solving their problems
• You're an excellent communicator who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders
• A generalist technical skillset: you don't need a CS degree, but should have a passion and interest for technology and be a creative problem solver
• Experience or interest in working in an early-stage startup environment

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The OTE (base + variable) range for this role is: $175,000 - $200,000.

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

We are looking for someone who is innovative and likes working in a fast-paced environment, both independently and as part of a multi-disciplined team. You will be working alongside data scientists, analysts, engineers, developers and product managers to deliver data-driven insights and build cutting-edge Artificial Intelligence solutions.

Our team focuses heavily on leveraging modern Generative AI to solve complex business problems in the AdTech space. You will be instrumental in building autonomous Agentic workflows, architecting enterprise-scale RAG/GraphRAG systems, and developing end-to-end Generative AI applications that drive real-world impact. Expect to work on multiple projects across a number of clients, from briefing through delivery.

 The Impact You'll Make:

• Collaborate in high-impact projects from beginning to end, working with autonomy and accountability.
• Proactively engage in problem-solving, fault-finding, and addressing issues in the data or approaches as they arise.
• Read research papers and develop/build concepts/ideas into Prototypes or Proof of Concepts (POC).
• Design, build, and orchestrate complex AI workflows using Agentic frameworks like LangGraph.
• Develop advanced knowledge retrieval pipelines, including building, evaluating, and optimizing GraphRAG and semantic search systems.
• Experiment with advanced prompt/context engineering techniques and fine-tune open-source Large Language Models (LLMs) using parameter-efficient techniques (e.g., LoRA, QLoRA) for domain-specific tasks.
• Implement robust evaluation frameworks (e.g., LLM-as-a-judge, RAGAS, DeepEval) to monitor and ensure the quality, safety, and relevance of Generative AI outputs.
• Communication (visual, verbal, and written) of findings to a variety of audiences, including colleagues and clients, both technical and non-technical.

What You'll Bring to Us:

• Degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field or 2-4 years of work experience related to the field
• Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications.
• Working knowledge of data structures, databases, and ETL processes.
• Applied Machine Learning and Deep Learning experience.
• Hands-on experience with production ML deployments, including containerization, cloud computing environments, modern data warehousing, workflow orchestration, and infrastructure-as-code.
• Generative AI experience with an understanding of Agentic Workflows, including practical experience orchestrating stateful, multi-agent applications with LangGraph.
• Hands-on experience with leading LLM APIs (OpenAI, Anthropic, Gemini) and the Hugging Face ecosystem.
• Basic understanding of AI model optimization and deployment concepts (e.g., model quantization, vLLM, etc) is a strong plus.
• Knowledge of working with Coding Assistants to orchestrate several agents.

What We'll Offer You:

• • Unlimited Vacations
  • Monthly Inflation updates
  • Lunch Credit
  • OSDE 410 as medical assurance 
  • English lessons
  • Gym coverage
  • Internet coverage
  • 1 extra paid month for primary & secondary birthing caregivers
  • Learning & Development - Tools and Training 
  • Hybrid & flexible working model - nice offices in CABA with endless snacks & beverages
  • Pet friendly
  • High visibility roles with a tremendous amount of growth potential 
  • Global team and cross-company collaboration unlike anywhere else!

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY GROWTH MEASUREMENT?

In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team.

You Will:

• Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
• Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
• Contribute to the development of a robust data infrastructure to support user growth.
• Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
• Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.

You Have:

• A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation.
• Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
• Experience in the gaming industry and/or multisided marketplaces.

Summary:

Vaxcyte is seeking Senior Associate Scientist (Contract), Conjugation Development, who will support the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on analysis of vendor-supplied materials in a capacity similar to a Quality Control Lab, as well as supporting the Conjugation Development team as needed. This is lab-based, full-time position that requires strict adhesion to protocols and documentation standards. The ideal candidate has strong organizational skills, clear communication, a high level of attention to detail, and experience working in a QC environment.

Essential Functions:

• Conduct analyses of vendor-supplied samples using colorimetric assays, gel electrophoresis, and liquid chromatography while strictly adhering to established SOPs
• Support lab operations
• Track shipping details for vendor-supplied samples.
• Review analytical assay data for adherence to SOPs and accuracy.
• Maintain organized records of review status of notebook entries and analytical data.
• Contribute to reports, certificates, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience.
• At least 2 years of experience in an analytical development or quality control role.
• Prior experience running colorimetric assays is required.
• Prior experience with HPLC is required.
• Prior experience with SDS-PAGE is required.
• Excellent attention to detail, organizational skills, and record-keeping abilities.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Commitment to integrity, professionalism, and safety in all aspects of work.

About the role

As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

Responsibilities:

• Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
• Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
• Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations 
• Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
• Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
• Present complex technical analyses and recommendations to both technical and non-technical stakeholders
• Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow

You may be a good fit if you have:

• 7+ years of experience in data science or analytics roles 
• Deep expertise with Python, SQL, and data visualization tools
• Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
• Highly effective written communication and presentation skills
• A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
• A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
• A passion for the company’s mission of building helpful, honest, and harmless AI
• Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

We’re hiring across multiple pillars

Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.

Claude Code

This role is embedded with the Claude Code product team, driving data-informed decisions for Anthropic's agentic coding tool that enables developers to delegate coding tasks directly to Claude from their terminal. You'll help the team understand how developers interact with AI coding assistants, measure developer productivity and product quality, and identify opportunities to innovate the developer experience as the product scales. Key focus areas include developer usage patterns across the platform, driving adoption within the developer ecosystem, and developer segmentation.

Strong candidates may have:

• Deep familiarity with software development workflows, developer tools, and engineering productivity metrics—ideally from working at developer-focused companies or on products targeting software engineers
• Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
• Experience supporting product teams building for the Enterprise

Consumer Data Scientist

You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences—including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.

Strong candidates may have:

• Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
• Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
• Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes

Platform Product Data Scientist

You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform—spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.

Strong candidates may have:

• 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
• Experience supporting B2B sales teams with data insights
• Strong instincts for what drives product adoption, engagement, and retention

Model Experience Data Scientist

You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier. 

Strong candidates may have:

• 3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
• Comfort working with unstructured data

About the role

Anthropic is compute-constrained, and how we allocate that compute is one of the highest-leverage decisions we make as a company. Today, those allocation choices are only loosely tied to the user outcomes we ultimately care about — retention, lifetime value, and the experience of people relying on Claude. You will change that.

As a hands-on technical IC on the Supply pillar of our Data Science & Analytics team, you'll sit alongside the infrastructure engineers who run our compute and help decide how our scarcest resource gets used. You'll design and run the analyses, observational and synthetic experiments, and optimization frameworks that turn opaque supply decisions into shared, measurable understanding across the company. Your work will directly shape how frontier AI reaches the world at scale, and your findings will go in front of senior leadership, including our CTO and his staff.

This role is a fit for someone who thinks natively in terms of constrained allocation and queueing, who enjoys getting close to the system rather than analyzing it from a distance, and who wants their analyses to translate into operational changes that ship.

Responsibilities:

• Build and run testing frameworks — observational and synthetic — to quantify how different inputs affect compute allocation outcomes
• Connect compute allocation decisions to downstream user outcomes (retention, LTV, revenue) so we stop optimizing in a vacuum
• Partner closely with infrastructure engineers, product, and research to instrument the system, measure what matters, and ship operational changes
• Develop the metric hierarchies, dashboards, and reporting that turn supply decisions into shared understanding across the company
• Contribute analyses and recommendations to executive forums, and co-author the supply narrative the team takes to the CTO and his staff
• Measure and improve how AI affects developer productivity inside Anthropic

You may be a good fit if you have:

• Strong technical IC background in data science, analytics, or operations research
• Operations research foundation — you think natively in terms of optimization, constrained allocation, and queueing
• Deep proficiency with Python, SQL, and data visualization tools
• Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership
• Direct experience working closely with engineering teams on production systems
• A passion for Anthropic's mission of building helpful, honest, and harmless AI

Strong candidates may have:

• 5+ years of technical IC experience in data science, analytics, or operations research; 8+ years for candidates targeting a Staff-level scope
• Experience with highly complex systems with many interacting components (ad networks, payment processing, marketplace matching, routing, etc.)
• Experience with causal inference methods applied to operational decisions (synthetic controls, geo-experiments, switchbacks)
• Experience contributing to or designing experimentation platforms, not just using them
• Exposure to AI/ML products, large language models, or large-scale inference systems
• Track record of setting technical direction across multiple workstreams or mentoring senior ICs without formal management responsibility

Deadline to apply: None. Applications are accepted on a rolling basis.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale. 

About the role:

As a Principal Applied Scientist at Parloa, you will define and drive our applied AI strategy across AI agents and Generative AI.

This is a highly hands-on and high-impact role at the intersection of research and production. You will explore, validate, and scale approaches that directly shape our product, from model evaluation and routing to agent behavior, memory, and context engineering, while defining how these systems should be measured, benchmarked, and improved across the industry.

Beyond execution, you will act as a technical leader: identifying opportunities, setting direction, and building the foundations of applied science at Parloa.

Areas of ownership:

• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization
• Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact
• Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones
• Drive innovation in agentic systems, including topics like routing, memory, and context engineering
• Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models)
• Translate research into production-ready solutions, working closely with engineering teams
• Act as a technical authority and multiplier, mentoring others and shaping best practices
• Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams
• Influence product and technical strategy, identifying where applied science can unlock the most value

Who you are:

• 12+ years of experience in Applied Machine Learning, Applied Science, or a related field, with a proven track record of delivering ML/AI systems in production
• Experience with agent-based systems or multi-step LLM workflows
• Strong recent experience working with LLMs and Generative AI systems, ideally in production environments
• Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact
• Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches
• Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams
• Experience working on production systems, balancing speed, quality, and scalability
• Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives
• Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions
• Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders
• Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus

We know that great candidates don’t always meet every single requirement. If you’re excited about this role and believe you could make an impact, we encourage you to apply, even if your experience doesn’t perfectly match every qualification.

Nice to have

• Familiarity with model routing, fine-tuning, or open-weight models
• Background in human-in-the-loop evaluation or annotation systems
• Contributions to public research, blogs, or open-source projects

Our recruiting process:

Talent Acquisition → Technical Peer Interview → 360° Technical Interview Loop → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Sobre a Platform Science:

Na Platform Science, trabalhamos para conectar tudo que se move. Fundada em 2015, somos uma plataforma de IoT aberta que faz parcerias com frotas inovadoras, desenvolvedores de aplicativos, fabricantes de veículos e fornecedores de equipamentos no setor de transporte para fornecer soluções revolucionárias aos profissionais da cadeia de suprimentos em todo o mundo.

Nossos colaboradores são um grupo envolvente e diversificado de pessoas que acreditam no poder das grandes ideias. Contratamos pessoas com diferentes experiências e perspectivas para construir uma cultura empresarial que impulsione o crescimento por meio da inovação.

Valorizamos ações atenciosas e empatia pelos outros.  Abordamos os desafios com resiliência e criatividade, ao mesmo tempo que incentivamos a transparência porque, não importa nossa origem ou responsabilidades, somos uma equipe.

O seu desafio por aqui:

Você fará parte de um time multidisciplinar (Software, Testes, Hardware e Produto) focado em pesquisa aplicada. Sua missão será:

• Transformar dados em impacto: criar modelos de IA e Machine Learning para otimizar operações reais e definir o futuro da mobilidade.
• Inovação contínua: explorar novas ferramentas de Code Assist e se manter na fronteira dos avanços tecnológicos.
• Colaboração Global: interagir com times da PS ao redor do mundo, trocando experiências e tecnologias.
• Agilidade na veia: atuar em um ambiente dinâmico, utilizando metodologias ágeis para entregas de alto valor.

O que buscamos:

• Domínio de Python: aplicado a Data Analytics, Data Engineering, Data Science ou AI Engineering.
• Visão de Dados: experiência com pipelines (AirFlow) e visualização (Domo ou Power BI).
• Cultura Cloud: experiência com nuvem (AWS, Azure ou GCP).
• Mentalidade de Engenharia: familiaridade com o ecossistema Linux, Containers e Terraform  (aqui nós construímos e colocamos pra rodar!).
• Diferencial: se você tem experiência com modelos para dispositivos móveis ou setor automotivo (Edge AI), as chances aumentam!

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

About Voyage AI Team at MongoDB

Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.

Position Overview

We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. 

Responsibilities

• Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers. 
• Innovate in next-generation information retrieval and LLM agent paradigm.
• Collaborate closely with other research scientists and research engineers as well as peers across the organization.

Qualifications

• PhD degree in Computer Science or related field
• Strong background in machine learning, deep learning, and natural language processing
• Familiarity with training distributed training of neural networks for language and visual understanding

What We Offer

• Opportunity to work on real-world problems at the cutting edge of AI research
• Opportunity to utilize research vision to innovate the entire company and make real-world impact
• Exposure to the full lifecycle of AI model development, from research to production
• Our compensation (base + equity) for this position is competitive with frontier AI labs

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263284493

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273376493

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in Austin, TX or anywhere in the US. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a developer, support, or solutions role. They will have 5+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263348181

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in Dublin, Ireland. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

This role can be based out of our Dublin office.

Candidate Profile

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a developer, support, or solutions role. They will have 5+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 4263325009

The mission of MongoDB Research is to advance the state of the art in database systems by conducting fundamental and applied research that directly impacts MongoDB's products. Our goal is to foster innovation that benefits MongoDB by addressing critical challenges in data management, performance optimization, security, scalability, and usability. Through collaboration, publication, and active engagement with leading research institutions, we strive to shape the future of database technology and ensure MongoDB remains at the forefront of innovation.

We seek an exceptional researcher specializing in database systems with particular expertise in database architecture, including query optimization, storage engines, indexing, and multicore processing. The ideal candidate will demonstrate a strong track record in designing and implementing highly performant database systems.

This role can be in-office, flexible, or based remotely in North America.

Responsibilities:

• Conduct innovative research in query optimization, indexing methods, storage engines, and performance optimization
• Design, prototype, and empirically evaluate novel database systems and architectures that leverage modern hardware features, such as SIMD parallelism, GPU acceleration, and multicore processing
• Collaborate closely with our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
• Publish influential research outcomes in top-tier database and systems conferences and journals (e.g., VLDB, SIGMOD)
• Build a Database Systems research group with a critical mass of 2-3 researchers over the next 1-2 years
• Mentor junior researchers, fostering a collaborative and productive research environment

Qualifications:

• Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in database systems
• 12+ years of experience applying computer science concepts to large scale software development problems, including databases and distributed systems
• Proven track record of impactful research publications in top-tier database and systems conferences and journals
• Demonstrated expertise in query optimization, efficient data structures, and high-performance database architectures
• Strong background in performance engineering, hardware-aware optimizations, and database engine internals
• Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
• Excellent analytical, communication, and interpersonal skills, with the ability to collaborate across teams

Success metrics:

• Within the first three months, you will have established working relationships with key stakeholders across Product and Engineering
• Within the first six months, you will have completed a review of the company’s database roadmap and identified opportunities for research impact. You will have established a clear research agenda for the team
• Within the first twelve months, you will have successfully attracted and interviewed researchers to join the team 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263126935

About Voyage AI Team at MongoDB

Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.

Position Overview

We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.

This role can be based out of our Palo Alto office, or remotely in the United States.

Responsibilities

• Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
• Innovate in next-generation information retrieval and LLM agent paradigm
• Collaborate closely with other research scientists and research engineers as well as peers across the organization

Qualifications

• PhD degree in Computer Science or related field
• A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues
• Strong background in machine learning, deep learning, and natural language processing
• Experience building complex neural networks for language and visual understanding
• Capable of conducting rigorous empirical studies to validate theoretical results
• Excellent leadership, problem-solving, and communication skills

What We Offer

• Opportunity to work on real-world problems at the cutting edge of AI research
• Opportunity to utilize research vision to innovate the entire company and make real-world impact
• Exposure to the full lifecycle of AI model development, from research to production
• Our compensation (base + equity) for this position is competitive with frontier AI labs

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263258184

We seek an exceptional researcher specializing in Machine Learning with particular expertise in areas such as Code-oriented LLMs, Agentic Systems, Reinforcement Learning and Reasoning Models. The ideal candidate will demonstrate a strong track record of publishing in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL).

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

Responsibilities

• Conduct cutting-edge research in Machine Learning in areas such as Code LLMs, Reasoning Models, Agentic Systems and Reinforcement Learning
• Publish influential research outcomes in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Collaborate closely with other Research Scientists and Research Engineers, as well as our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
• Mentor intern researchers, fostering a collaborative and productive research environment

Qualifications

• Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in Machine Learning
• Proven track record of impactful research publications in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Post-PhD industry experience of applying computer science concepts to large scale software development problems is a plus
• Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
• Excellent technical communication skills, verbal and written, with the ability to collaborate across teams

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Title: Actuarial Data Scientist

Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)

Reporting to: Director, Actuarial

Open to Relocation? We’ve Got You Covered: 

This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here.

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About This Role:

We’re hiring an Actuarial Data Scientist to lead loss cost modeling for Hippo's Homeowners program. This role will own the design, development, and deployment of predictive models for frequency and severity, ensuring strong alignment with pricing strategy and business objectives. You'll build and scale Python-and SQL-based tooling that embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows. In addition to leading loss cost modeling, you'll have the opportunity to expand the team's modeling capabilities across the demand and aggregation models to inform broader pricing and business mix decisions. 

About You:

You are a hands-on leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.

What You’ll Do:

• Lead a homeowners insurance modeling, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement 
• Own the design and annual build of our by-peril loss models
• Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance 
• Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
• Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
• Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment

Must Haves:

• Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
• 5+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
• Strong experience with loss cost modeling; exposure to demand, underwriting, and/or claims modeling
• Knowledge of actuarial principles as they relate to insurance pricing
• Advanced proficiency in Python and SQL
• Excellent communication skills and ability to build trust with stakeholders at all levels

Nice to Haves:

• Actuarial credentials - ACAS/FCAS
• Master’s degree in a quantitative discipline
• Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)

The base pay range for this role is $145,000- $160,000 for our Texas (Austin and Dallas regions). The SF Bay Area (and New Jersey) base pay range for this role is $155,000- $180,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations
• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Overview

Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence.

We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals.

You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart.

You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale.

We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day.

About the Job

• Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration.
• Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences.
• Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention.
• Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations.
• Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment.

About You

You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes.

Minimum Qualifications

• 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration.
• Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption.
• Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features.
• Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience).
• Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap.
• Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience.

Preferred Qualifications

• Experience in health, nutrition, wellness, or other regulated consumer product spaces.
• Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences.
• Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments.
• Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms).
• Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences.

#LI-Remote

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

• Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

Senior Software Engineer, Scientific Computing

About the Company 

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.

KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

About the Role

At KoBold we believe that a modern scientific computing stack will enable systematic mineral exploration and materially improve our rate of mineral discovery. This role is a key ingredient to this strategy. As a member of our scientific computing team, you will apply software engineering and machine learning to remote-sensing, drillhole, imaging, geophysics and other mineral exploration data in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.

Responsibilities

• Architect, implement, and maintain foundational scientific computing libraries that will be used in KoBold’s mineral exploration analyses.
• Build tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.
• In collaboration with data scientists, build models to make statistically valid predictions about the locations of economic concentrations of ore metals within the Earth’s crust.
• Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code
• Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration
• Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery.  Travel is approximately twice per year depending on project needs.

Qualifications

Our ideal candidate will have:

• At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. 
• Track record of building production quality data processing solutions or tooling that have delivered business value
• Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches
• Proficiency in Python, ideally including array-based packages such as xarray and numpy
• Deep experience with measured scientific data
• Experience in visualizing scientific data for domain experts
• Experience in MLops and in the making of robust ML systems
• Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows 
• Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources 
• Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.
• Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• Ability to independently prioritize multiple tasks effectively.

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

This position is Full-time

The US base salary range for this full-time exempt position is $170,000 - $215,000

Location:  Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada

About the Role

We are seeking a driven Scientist and experimentalist who combines strong hands-on molecular biology skills with a creative, critical, and builder-oriented mindset. This role is focused on assisting in the design, construction, and iteration of novel screening platforms and experimental workflows that enable biological discovery at scale.

The ideal candidate is a self-starter who enjoys working in ambiguous problem spaces, thinks deeply about experimental design, and takes ownership of turning early ideas into robust, reproducible systems. You will work collaboratively with other teams, including automation, engineering, and computation, to invent new ways of generating high-quality biological data.

Key Responsibilities

• Develop novel antibody screening technologies and experimental platforms, from early proof-of-concept through scalable, robust workflows
• Design, implement, and optimize screening assays, including biochemical, molecular, and cell-based readouts
• Assist multidisciplinary platform development efforts as a biochemical expert through microbial and mammalian cell line engineering (e.g. cloning, genome editing, expression optimization)
• Apply data-driven and critical thinking approaches to troubleshoot, refine, and improve workflows, enhancing throughput, robustness, and interpretability
• Clearly document experimental workflows, present results, and contribute to shared platform standards while maintaining flexibility for rapid exploration
• Collaborate closely with cross-functional partners (automation, engineering, computation) to integrate biology, data, and technology into cohesive systems

Required Qualifications

• PhD in Molecular Biology, Bioengineering, Biochemistry, or a related field with 1+ years of industry experience, or
  B.S. or M.S. with 8-10 years of relevant industry or applied research experience
• Prior work on platform, workflow, or method development, especially in exploratory or early-stage settings (see examples under Bonus Skills)
• Experience with antibody discovery and engineering workflows, including panning, enrichment, or display-based screening approaches
• Experience with assay development, optimization, and experimental troubleshooting
• Strong hands-on experience in molecular cloning and DNA manipulation
• Experience with cell-line engineering (e.g. E. coli, yeast, mammalian or related systems)
• Demonstrated ability to work independently, think critically, and drive conclusive experiments
• Strong organizational skills and attention to experimental detail

Preferred Qualifications

• Experience with functional antibody screening or protein–protein interaction assays
• Familiarity with high-throughput or semi-automated screening systems
• Experience working with data-rich experimental systems
• Comfort operating in fast-moving, collaborative, and partially undefined problem spaces

Nice to Have

Experience in one or more of the following areas would be a plus:

• Spatial biology technologies (e.g. spatial transcriptomics, in situ or imaging-based assays)
• Single-cell technologies, including single-cell sequencing or high-content single-cell assays
• Microarray-based assays or other multiplexed screening formats
• Microfluidics, particularly for screening, assay miniaturization, or single-cell applications
• High-content imaging or phenotypic screening
• Experience studying or manipulating cell-internal signaling pathways (e.g. receptor signaling, transcriptional regulation, immune signaling, stress responses, or related pathways)
• Protein expression, secretion, or trafficking assays

Compensation: Annual

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

Responsibilities

• Build, adapt, and automate display systems to facilitate AI antibody design. 
• Establish, develop, and/or optimize cutting edge technologies to enable data generation at scale for AI model training or evaluation
• Design and apply multiple innovative selection techniques to provide data at scale based on ML training needs. 
• Design, setup, optimize, and use automation to characterize affinity and function at the clonal level. 
• Contribute to the preparation of technical reports and presentations.
  
  

Qualifications

• Significant hands-on experience with protein display techniques such as yeast and/or phage display. Experience in library design, build, panning/sorting and validation. 
• Bachelor of Science or Master’s degree in Molecular Biology, Biology, Biochemistry, or related fields with 2-6 years of industrial experience.  . 
• Familiarity with antibody binding assays and automating them (ELISA, SPR, FACS).
• Proficiency in molecular and cell biology techniques, including mammalian tissue cell culture, and basic skills in molecular biology labs.
• Working knowledge of software and programming for large data set analysis.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members

Schedule Flexibility: Due to the nature of experimental workflows, this role will require availability on weekends (approximately every couple of weeks). 

Employment Type: Contract

Contract Duration: 9 Months

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $45-$60 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
Xaira Therapeutics is seeking a lab-based Senior Scientist in Inflammation and Immunology to join our Biology & Pharmacology department. This role is ideal for someone who thrives in a hands-on research environment, has experience working with primary human or mouse immune cells and ex vivo tissue systems, and is excited to help shape therapeutic program strategy.

In this role, you will investigate disease biology and drug mechanisms, generate actionable data, and contribute to advancing therapeutic programs through cross-functional collaboration.

What You’ll Do

• Drive preclinical programs by designing and executing in vitro and in vivo studies that explore disease biology, target validation, and lead candidate development.
• Identify knowledge gaps, ask critical mechanistic questions to guide program direction, and evaluate novel targets and therapeutic strategies.
• Dissociate human tissue biopsies into single-cell suspensions or establish human tissue slice cultures for downstream functional or phenotyping assays.
• Lead immune profiling and functional characterization using high-parameter flow cytometry (15+ colors or spectral platforms), functional assays (T cell activation, differentiation, proliferation, suppression), and molecular/cytokine profiling (MSD, Luminex, qPCR, RNA sequencing).
• Translate experimental data into actionable insights and clearly communicate findings and recommendations to cross-functional teams.

What We’re Looking For

• PhD in Immunology or a related field with 3+ years of relevant experience; industry experience preferred.
• Track record of impact through publications, presentations, or applied research.
• Hands-on experience with primary human or mouse immune cells and/or ex vivo tissue systems.
• Strong expertise in flow cytometry, including high-parameter panel design, execution, and data analysis.
• Proven ability to independently plan, execute, troubleshoot, and interpret experiments.
• Highly organized, with the ability to manage multiple workstreams in a fast-paced environment.
• Clear communicator who can distill complex data into actionable insights.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $140,000 - $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking an Associate Scientist to join our High-Throughput (HTP) team to support the discovery and development of innovative protein therapeutics. This role focuses on the design and execution of HTP expression, purification, and characterization campaigns. You will work at the interface of biochemistry and automation, collaborating closely with our robotics and data teams to advance candidate molecules from in silico design to physical validation.

About You
The successful candidate works effectively both independently and as part of cross-functional teams. Experience collaborating with discovery, process development, and analytical departments is highly desirable. We require an adaptable scientist with strong communication skills and the ability to present data across team and departmental levels. You should excel in fast-paced environments, managing multiple responsibilities and shifting priorities. You are expected to work effectively both independently and as part of a team to drive complex projects forward. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.

Key Responsibilities

• High throughput protein expression, purification and characterization from multiple systems including cell free systems and mammalian is the primary responsibility.
• Drive team throughput and data quality by developing novel strategies for parallel protein processing. Key responsibilities include optimizing expression and purification workflows and conducting quality control and functional assays for proteins used in therapeutic development and in silico design.
• Excellent record keeping and organization is a must
• The experience and flexibility to work on upstream medium scale expression and downstream purification is a plus.
• Perform analytical characterization of purified proteins using HPLC, CE-SDS, and icIEF to ensure high-quality candidates for therapeutic development.

Qualifications

• B.S. (6+ years) or M.S. (6+ years) in a relevant scientific discipline; industrial experience preferred. (PhD (2+ years)
• Proven expertise in high-throughput (HTP) protein production, with a specific focus on cell-free protein expression (CFPE) and/or mammalian transient expression systems.
• Understanding of the biophysics of protein-protein interactions, protein chemistry, experience in the molecular biology and biophysical techniques essential for protein work is required.
• Demonstrated hands-on experience with high-throughput (96/384-well) expression and purification workflows.
• Proven track record of independent project management and cross-functional collaboration.
• Dedicated to inclusive leadership and maintaining a respectful, diverse team environment.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $101,000 - $126,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.

Key Responsibilities

• Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
  Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
• Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
• Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
• Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
• Publish methods and results in top scientific journals and present at conferences.
  
  

Qualifications

• PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
• Strong expertise in single-cell data analysis, particularly perturb-seq 
• Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
• Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
• Experience in developing scalable ML methods for large biological datasets.
  
  

Preferred

• Background in causal inference, generative models, or representation learning for biological systems.
• Familiarity with multi-omics integration and cross-modal foundation models.
• Track record of impactful publications in computational biology, machine learning, or related fields.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.