Position Summary 

Come join a growth engine as a leader in our Data & AI Practice! Inizio Advisory & Putnam Associates continue to advance our Commercial Life Sciences Data, Analytics and AI Team and Solutions.  We are looking for an experienced innovator and senior leader to join Data Strategy, Analytics and AI Practice.   

The Advanced Data Analytics Lead role within the Data Strategy, Analytics and AI team will be responsible for advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI. The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.  

This leadership role is responsible for independently driving client and business development at the company.  They must effectively identify potential client engagements, qualify leads and drive the business development process.  They will write and submit project proposals, develop and deliver capability presentations, and respond to prospective client needs.  They are responsible for developing intellectual thought leadership for the company and for developing and enhancing practice areas within the firm.    

They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of Data Strategy/Analytics/AI projects, managing a global team of data scientists and business analysts to support and deliver client projects.  

In addition to Putnam growth, this is a broader opportunity to support growth within the Inizio Advisory companies to collaborate and work with other teams, as the Data Analytics & Strategy practice evolves to support the industry and our clients’ needs.  

Holistic view of responsibilities and measurements of success:  

• Extensive project work planning and client interaction and management.   

• Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development and revenue generation   

• Participation in industry thought leadership  

• Establish clearer resourcing method and process for the team for scale  

• Support the evolution of our hiring strategy for team based on expected future client work (e.g. growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly.  

Desired Skills & Experience   

• Experience in Life Sciences data analytics (minimum of 10 years) and consulting  

• Working knowledge of pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data  

• Experience in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)  

• Experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)  

• Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)  

• A GenAI pioneer, with experience of LLMs in Pharma (e.g. generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnam  

• Extensive experience in project work planning and client management. (insert min years needed)  

• A successful history of people and team management through mentorship, knowledge sharing, and leadership.   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development  

• Participation in industry thought leadership  

Compensation & Benefits  

• Industry competitive total rewards programs [salary and bonus packages]  

• Exceptional senior partner mentorship, leadership training and career development support  

• Industry competitive benefits [paid time off, 401k, health insurance]  

• Hybrid working model - this role can be based out of our NYC office or Boston office 

Company Description

Inizio Ignite, Putnam 

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Putnam strategy consulting team bridges science and strategy to enable confident decision-making and build value for pharma. We partner with leading health and life science companies serving brand & commercial leaders, Medical Affairs, access & pricing, and R&D.  Our expertise spans offerings including therapeutic area strategy, data & AI strategy, go-to-market strategy, commercialization & growth, value, pricing & access (VPA) strategy, and evidence generation. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.

We believe that to create real, lasting change on human health, we must bring out the best in our people, in every way and at every level. We offer a boutique-firm feel inside a global enterprise, opening the door to limitless opportunities to kickstart your career or hone your expertise. Built on the pillars of empowerment, collaboration, and meaning, we’re proud to offer a fulfilling environment where world-class advisors can come together to shape the future of healthcare for the better.

Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.

Diversity, equity, and inclusion are tenets of our core values. We strive to create a culture and environment that fosters belonging and authenticity across all levels and values individuals for their skills, experience, diverse backgrounds, and unique perspectives. Collectively, DEI serves as a foundational element of who we are and how we work with our clients and with each other.

Our core values:

• Team
• Excellence
• Strategic
• Passion
• Diversity

This is an Equal Employment Opportunity

Please note that Putnam Associates is in no way affiliated with Putnam Investments and that this is not a finance opportunity.

The Director of Revenue Operations – Pipeline & Partnerships is a critical leadership role within ZoomInfo's Revenue Operations organization. This Director will own the operational strategy and the team driving execution behind ZoomInfo's pipeline generation engine, sitting at the intersection of SDR operations, pipeline creation, and partnerships. This role will work closely with SDR leadership, Go-to-Market Engineering, Revenue Enablement, Demand Generation, Partnerships, and Solutions Consulting, while reporting to the VP of Revenue Operations, to ensure operations are scalable, data-driven, and force-multipliers.

What You’ll Do:

Pipeline Operations

• Own the demand generation and pipeline operations — driving pipeline coverage targets across New Business and Revenue & Growth, attribution accuracy, and GTM play execution across Marketing, PLG, and SDR routing
• Design and manage lead and demo routing logic across all pipeline sources, ensuring the right leads reach the right reps at the right time with speed and precision
• Own the operational infrastructure supporting ZoomInfo's Product-Led Growth (PLG) go-to-market motion — including PQL identification, scoring, routing optimization, and handoff workflows between product, marketing, and sales
• Drive attribution accuracy across all pipeline sources, ensuring clean, reliable data that reflects true pipeline contribution by channel and motion
• Partner with Go-to-Market Engineering, Demand Generation and Marketing Ops to align on pipeline coverage targets and ensure GTM plays are operationally executable and measurable
• Identify gaps and inefficiencies across the pipeline creation process and lead cross-functional initiatives to resolve them — deploying automated workflows and intelligent tooling where applicable
• Evaluate, implement, and optimize tools across the pipeline tech stack, including ZoomInfo, 1Mind, Outreach, and other systems ensuring they are configured to maximize pipeline output and data integrity

SDR Operations

• Own the SDR operations — driving inbound and outbound performance, sequencing strategy, speed-to-lead, SLA adherence, rep productivity, agent productivity, and top-of-funnel conversion from first touch to qualified pipeline
• Build and optimize lead prioritization frameworks that leverage intent data, engagement signals, and AI-powered scoring to ensure SDRs and agents are focused on the highest-converting opportunities
• Design and continuously improve outbound and inbound pipeline workflows and follow-up sequences — leveraging automation to reduce manual overhead and improve conversion rates
• Build and maintain dashboards and intelligence that provide real-time visibility into SDR productivity, unit economics, capacity and pipeline coverage and health, and conversion rates; use AI-assisted analysis to surface trends and anomalies proactively
• Partner with SDR leadership to enforce SLA adherence and ensure consistent execution of sequencing strategy across the team

Partnerships & Solution Consulting Operations

• Own the operations for all partner-led revenue motions — including co-sell execution, deal registration, partner pipeline visibility, solution consulting support, and DaaS program performance
• Build and scale operational infrastructure across Channel, Co-Sell, Solution Consulting, and DaaS — with automated processes built into from the ground up
• Define and maintain KPIs for partner-sourced and partner-influenced pipeline, ensuring accurate tracking and reporting with minimal manual intervention
• Collaborate with the Partnership team to develop scalable, automation-first processes that support partner recruitment, activation, and performance management
• Ensure CRM and partner systems are configured to accurately capture and report on partner activity and contribution, with intelligent routing and attribution logic in place

Strategy & Cross-Functional Leadership

• Serve as a strategic thought partner to SDR, Go-to-Market Engineering, Demand Gen, and Partnerships leadership — translating business goals into operational plans built to scale through process and technology
• Lead a team of RevOps managers across pipeline, SDR, and partnerships functions, fostering a culture of experimentation, automation, and continuous improvement
• Drive alignment across teams to drive pipeline definitions, forecasting inputs, and goal-setting
• Champion data integrity and process standardization across all pipeline-related systems and workflows
• Proactively evaluate emerging AI and automation capabilities — including LLM-based tools such as Claude and Claude Code — and bring a clear point of view on where they can meaningfully improve pipeline operations
• Core systems and tools you may be working with: Salesforce, ZoomInfo, 1Mind, Outreach, PartnerStack, Clari, Claude/Claude Code, and other AI and automation platforms

What You Bring:

• 9+ years of experience in Revenue Operations, Partnership Operations, Marketing Operations, or a related field, with at least 5 years in a leadership role
• Proven experience supporting SDR organizations at scale — including sequencing strategy, speed-to-lead, SLA enforcement, and top-of-funnel conversion optimization
• Deep understanding of pipeline operating models, including lead routing design, attribution, PLG motions, and GTM execution
• Experience building or scaling partnerships/channel operations, including co-sell execution, deal registration, partner pipeline visibility, and solution consulting program support
• Deep, hands-on expertise with ZoomInfo,1Mind, Outreach, and PartnerStack — with a strong understanding of how these tools connect across the pipeline and partner motion
• A natural inclination toward automation and AI — you default to building scalable, intelligent solutions rather than manual processes, and have hands-on experience with tools like Claude, Claude Code, ChatGPT, or similar LLM platforms
• Demonstrated ability to design and deploy automated workflows that drive pipeline efficiency and scale, whether through AI agents, no-code/low-code tools, or custom-built solutions
• Deep expertise in Salesforce CRM, including data model, reporting, and workflow configuration
• Strong analytical skills with the ability to translate complex data into clear, actionable insights for senior stakeholders
• Must be self-motivated, have strong self-management skills, and demonstrate leadership qualities
• Proven ability to work cross-functionally across Sales, Marketing, Finance, and Operations
• Experience working in a high-growth B2B SaaS environment preferred

#LI-AP3

#LI-Hybrid

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Role Summary: 

The Director of Product Management is a leader responsible for defining and executing product strategy for one or more Babel Street use cases (e.g., Global & Event Threats, Identity Risk, Business/Vendor Risk). The role partners closely with the SVP of Product Management to translate company strategy, market insights, and customer needs into a clear product vision and prioritized roadmap—communicating strategic direction to key stakeholders throughout the company. This leader ensures Babel Street focuses on and builds products that customers need, value, and adopt—while advancing the company’s strategic and commercial objectives. 

As a Director, this role balances strategic leadership with hands-on product ownership, serving as the connective tissue between customers, Go-to-Market teams, and Engineering. 

This is a hybrid role based out of either our Reston, VA or Somerville, MA office,

What You Will Do: 

Product Strategy & Vision 

• In coordination with the SVP Product Management, define and evolve product vision and multi‑horizon roadmaps aligned with Babel Street’s “North Star” corporate strategy.
• Conduct ongoing market, customer, and competitive analysis to identify growth opportunities and emerging threats.
• Translate strategic objectives into clear product outcomes, success metrics, and priorities. 

Customer & Market Leadership 

• Build deep, ongoing relationships with customers to understand use cases, pain points, and unmet needs.
• Ensure product direction is grounded in real-world customer workflows, mission outcomes, and market needs/gaps.
• Represent the voice of the customer across Engineering, Sales, Marketing, and Leadership.  

Roadmap Ownership & Execution 

• Own and prioritize the product P&L and roadmap (defining the “What”, “Why”, and “When”) in partnership with Engineering (responsible for the “How”), balancing customer value, technical feasibility, and business impact.
• Work closely with Engineering leaders to sequence work, manage dependencies, and remove blockers—without becoming a proxy delivery manager.
• Ensure roadmap commitments are realistic, outcome-focused, and aligned with Go-to-Market plans.  

Corporate Partnership 

• Partner with Sales and Marketing on positioning, messaging, pricing, and launch strategy.
• Support major deals and strategic opportunities with product insight, customer context, and competitive landscape.
• Communicate product direction clearly and credibly at all levels of the organization.  
• Provide assistance and mentoring to others in Product Management. 

What You Will Bring: 

• 3+ years of relevant experience is mandatory for this role (e.g., experience with Global & Event Threats, Identity Risk, Business/Vendor Risk, OSINT, etc., with a preference for Identity Risk)
• 5+ years of progressive Product Management experience, including ownership of complex SaaS products (engineering, product management, interaction with/understanding of multiple stakeholder groups)
• Proven ability to perform strategic assessments and use findings to define vision and direction
• Experience with Agile software development and relevant software (Jira, Mira, Confluence, etc.)
• Excellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships
• Experience as a Software Engineer
• Knowledge of NLP, AI/ML (including Generative AI & LLMs), entity/identity resolution
• Prefer experience driving or leading rapid prototyping, technical simulations, or past involvement with application development 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Role Summary

Babel Street is building an AI-native, agent-ready, API-first intelligence platform where computer vision, NLP, and document enrichment continuously produce signals about people, places, organizations, and events. The knowledge graph transforms those signals into a coherent, queryable representation of the world.

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of Computer Vision and collaborate with ML, platform, and data engineering teams to connect mentions in text, objects in images, locations in geotagged media, and entities in structured sources into a unified graph.

This is a hands-on engineering role where you will contribute to production systems, grow your expertise in graph modeling and entity resolution, and help shape a platform that is still evolving. This will be a hybrid role based out of either our Reston, VA or Somerville, MA office.

Key Responsibilities

• Implement and evolve graph schemas and entity models for people, locations, organizations, images, and events
• Build and maintain entity resolution pipelines that reconcile entities across NLP outputs (GLiNER, spaCy), computer vision outputs (object detection, OCR, face recognition, geolocation), and structured data sources
• Develop ingestion pipelines that write resolved entities into graph systems such as ArangoDB and Spanner Graph or BigQuery Graph
• Contribute to cross-modal linkage between text, images, and geospatial data, including confidence scoring and provenance tracking
• Collaborate with computer vision engineers to integrate visual entity outputs into the graph layer
• Help build graph-backed APIs and services used by downstream products and workflows
• Write tests, contribute to design discussions, and support improvements to data quality and pipeline reliability

Why This Role Matters

The knowledge graph is where Babel Street’s signals become usable intelligence. A detected landmark, a name extracted from text, an organization mentioned online, and a face identified in an image all become more valuable when they resolve to a shared representation of an entity.

In this role, you will help:

• Connect multimodal signals into a unified graph
• Improve the accuracy and consistency of entity resolution
• Enable downstream search, analytics, and agent workflows

Required Qualifications

• 2–5 years of professional software engineering experience (or equivalent experience through internships and projects)
• Proficiency in Python and at least one typed language (Java, Go, C#, or TypeScript)
• Familiarity with at least one graph database or graph processing framework (ArangoDB, Neo4j, TigerGraph, JanusGraph, NetworkX, or similar)
• Solid understanding of SQL and core data modeling concepts (keys, normalization, joins, indexing)
• Ability to work across teams, incorporate feedback, and make steady progress in ambiguous problem spaces

Preferred Qualifications

• Exposure to entity resolution, record linkage, or deduplication
• Familiarity with semantic modeling or schema design (RDF, OWL, property graphs, JSON-LD)
• Experience with cloud platforms such as GCP (Spanner, BigQuery, Cloud Run)
• Interest in computer vision, NLP, geospatial data, or multimodal systems
• Experience testing data pipelines, implementing data quality checks, or working with observability tools
• Exposure to search, ranking, or retrieval-based systems

What Success Looks Like (First Six Months)

• Month 1–2: Ramp up on the graph stack, contribute to existing pipelines, and ship initial changes
• Month 3–4: Take ownership of a component or pipeline with guidance, including testing and documentation
• Month 5–6: Deliver improvements to entity resolution quality, graph ingestion, or cross-modal linkage, and contribute to design discussions

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Customer Success Data and Analytics (CSDA) team supports Care Operations, Customer Success, Education, and Voice of the Customer. We are building a new generation of data products that extract structured, actionable insight from unstructured customer interactions using NLP, ML, and LLM-based approaches.

As the Principal Data Product Manager, Applied AI, you will own the agenda for how AI-enriched data improves our understanding of the customer experience. You will prototype, validate, and scale a portfolio of AI-powered data products that give our CS organization insight it has never had before. You will also serve as a resource and thought partner for teammates and other teams across Toast who are working with CS data in an AI context, helping make that work faster, more consistent, and more reliable.

This is a hands-on, high-ownership role. You will spend time in Snowflake and Hex building things, and you will spend time with CS leaders explaining what those things mean and why they matter. The right person for this role is equally comfortable doing both.

A Day in the Life (Responsibilities)

Enablement and Shared Practice

• Technical Resource: Serve as the go-to resource on applied AI and NLP with CS data for your CSDA teammates and other teams across Toast.
• Best Practices: Build and maintain a practical library of guidance regarding successful prompts, pitfalls to watch for, and how to structure CS data for AI use cases.
• Market Intelligence: Stay current on how CS data is being used with AI tools across the organization to keep CSDA ahead of the curve.
• Facilitation: Act as a facilitator for AI prototyping work, helping analysts and stakeholders structure experiments so outputs are reliable and usable.

Applied AI and ML Product Development

• Portfolio Ownership: Drive an active portfolio of prototyping work focused on enriching the CSDA data model with insight extracted from unstructured contact data.
• Strategic Focus: Focus on contact classification, intelligent summarization, sentiment analysis, churn signal detection, and product mention extraction.
• End-to-End Design: Manage the pipeline from problem framing and prompt design to embedding generation, classifier training, and final production.
• Stakeholder Validation: Run structured validation processes, including codebook reviews and labeling sessions, to earn trust before products scale.

Scaling and Productionalization

• Readiness Framework: Maintain a clear framework for deciding what is ready to scale based on business value, quality, and maintenance requirements.
• Engineering Partnership: Partner closely with the CSDA data engineering team to scope and hand off production-grade implementations.
• Quality Governance: Own the quality review process for AI products in production, including monitoring for output drift and driving recalibration.
• Product Advocacy: Serve as the face of these products with stakeholders, explaining how they work and being honest about their limitations.

What You’ll Need to Thrive (Requirements)

• Relevant Experience: 6+ years of experience in analytics, data science, ML, or NLP in a data-intensive environment.
• AI Fluency: Practical fluency with LLMs, including prompt engineering, structured output extraction, and model evaluation.
• Product Instincts: You think about what you are building in terms of who uses it and how you will know if it is working.
• Project Leadership: Strong program and stakeholder management skills with the ability to move things forward without formal authority.
• Technical Expertise: Applied experience with text data and NLP/ML techniques such as LLMs, classifiers, or embeddings.
• Core Skills: Expert-level SQL and solid Python proficiency with the ability to build and iterate on ML pipelines independently.
• Communication Mastery: Ability to explain complex classification pipelines to non-technical leaders and push back on requirements when necessary.

What Will Help You Stand Out (Nice to Haves)

• Specific Tooling: Experience with Snowflake Cortex, including COMPLETE and EMBED_TEXT functions.
• Library Familiarity: Familiarity with scikit-learn, spaCy, Hugging Face, or sentence-transformers.
• Domain Expertise: Prior work in a Customer Success, Care, or CX analytics context.
• Workflow Design: Experience building human-in-the-loop validation workflows or labeling interfaces.
• Proven Impact: A track record of prototyping things that made it into production and were successfully used.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About the Role

We're looking for a Brand Social Media Specialist who lives and breathes social platforms. This role is about crafting snappy, humorous, and insightful copy that captures attention, drives engagement, and truly reflects Ahrefs' distinct brand voice across all our social channels. If you instinctively know the right meme, caption, or trend to jump on, and can translate complex ideas into shareable, human-centric content, you'll thrive here.

Responsibilities

• Own our social media presence, defining and executing the daily content strategy across key platforms like X/Twitter, LinkedIn, YouTube Community, Instagram, and Reddit.
• Translate our brand's unique voice into engaging, platform-specific copy that ranges from witty and
  humorous to insightful and straightforward.
• Stay relentlessly up-to-date with social media trends, platform changes, and emerging formats, ensuring Ahrefs' content is always relevant and ahead of the curve.
• Develop and curate a steady stream of original social content based on company news, product updates, industry insights, and broader cultural moments.
• Repurpose longer-form content (blog posts, videos) into concise, compelling social-first formats designed for maximum shareability and impact.
• Experiment with new content types, hooks, cadences, and storytelling approaches to continuously optimise engagement and reach.
• Collaborate with the broader marketing team, product, and content creators to ensure social messaging aligns with overall brand campaigns and objectives.
• Monitor social performance and engagement metrics to understand what resonates and adapt strategies accordingly.

Requirements

Must have:

• Proven experience managing social media for a brand, demonstrating a deep understanding of platform nuances and audience behaviours.
• Exceptional command of language with a portfolio showcasing your ability to write concise, engaging, and often humorous social copy.
• A natural instinct for current internet culture, trends, and the ability to leverage them authentically for brand communication.
• Strong editorial judgment and the ability to turn complex or technical topics into simple, compelling social content.
• Self-driven and autonomous: you can identify opportunities, execute ideas, and iterate without constant oversight.

Nice to have:

• Experience working in the SaaS industry or with B2B tech brands.
• Familiarity with Ahrefs' tools and the SEO/marketing landscape.
• Skills in basic image/video creation or editing for social media.

What Success Looks Like

In 6 months: You'll have established a clear, consistent, and engaging voice for Ahrefs across our primary social channels. Our social engagement will show a noticeable uptick in likes, shares, comments, and conversation quality. You'll be actively contributing fresh, timely ideas to our content calendar, and your ability to spot and capitalise on relevant trends will be evident.

In 1 year: Our social media presence will be a significant and growing channel for brand awareness and lead generation. You'll have demonstrably increased our social media exposure, engagement rates, and follower count across all key platforms, directly correlating with an increase in qualified leads and product market growth initiatives. You'll be seen as the go-to expert for all things social at Ahrefs, innovating and pushing our brand boundaries.

Why Ahrefs?

At Ahrefs, we believe in empowering people to do their best work without micromanagement. You'll have the autonomy to make smart decisions and truly own our social media voice, directly shaping how millions of marketers and businesses perceive our brand. We're a remote-first, async company that values honesty, results, and simple solutions over complex ones. Come join a smart, collaborative team where your words will make a real impact.

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re seeking an exceptional candidate to join our company as a part of the growing Clinical Informatics team. Together, we will create the AI layer that will redefine healthcare for the better.

What you'll do:

• In collaboration with the Customer Success and Product teams, perform detailed workflow analysis at client hospitals to understand clinical workflows and help design AI-based interventions.
• Contribute to and help maintain an advanced interoperability layer, transforming FHIR, HL7, CCDA, and other common data standards to a common data layer.
• Contribute to the design and development of an advanced data layer that supports both machine learning R&D as well as real-time inference for embedded clinical applications. 
• Use your strong clinical and informatics knowledge to participate in data modeling, harmonization, normalization, and transformation efforts.
• Work collaboratively in a fast-paced environment with cross-functional teams including engineering/research, customer success, and business to execute on the informatics vision and help invent the next iteration of human-AI collaboration in healthcare.
• Create excellent documentation to allow other team members to self-serve on internal and external informatics topics, previously defined workflows, and data sources.

What you'll need:

• You are an exceptional Clinical Informatician with significant experience in analyzing and redesigning healthcare IT workflows and a history of successfully launching new products/features in a hospital setting (EPIC, Cerner, etc.).
• You are eager to tackle new challenges and quickly acquire new skills and abilities. You thrive in an environment primed for innovation at every level: theoretical machine learning, user interface design, human-AI collaboration, etc. 
• You excel at algorithmic thinking and have fluency with at least one programming language (preferably Python) as well as beginner to intermediate SQL skills.
• You have a working knowledge of natural language processing (NLP) methods.
• You have an understanding of common healthcare standards and ontologies (FHIR, HL7, ICD10, CPT, RxNorm, etc.)
• You are a MD/DO Physician who has completed primary specialty training (residency)
• You have advanced training in clinical informatics, through fellowships, post-graduate training, advanced degrees (master’s or PhD), or work experience.
• You’re adaptable and excited to work in a fast-paced environment that is ambitious, changing rapidly, and often breaking new ground.
• You have exceptional verbal and written communication and presentation skills.
• You’re looking forward to working with our in-person teams in Boston or New York City.

Expected compensation range for this role is $140K-160K, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

ROLE SUMMARY:

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street’s intelligence applications. You will build systems that extract, analyze, and reason over visual data—enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows. 

This role is execution-focused and suited for engineers with strong foundations in computer vision, image processing, and machine learning who want to apply their skills to real-world, mission-driven problems. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, and cost-efficient vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language. 

This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS;

This role spans three practical execution areas: 

Computer Vision & Image Analytics 

You will implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity. This includes image preprocessing, feature extraction, model inference, evaluation, and performance optimization to meet mission-grade accuracy and latency requirements. 

Geospatial & Location Inference from Imagery 

You will contribute to capabilities that infer location, context, or environmental attributes from imagery—leveraging visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows. 

Multi-Modal AI & Image Search 

You will support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows. 

KEY RESPONSIBILITIES:

• Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation. 

• Implement facial matching, and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements. 

• Develop and support object detection, image similarity, and scene understanding models. 

• Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals. 

• Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning. 

• Write clean, maintainable Python code and contribute to production services and APIs. 

• Assist with model evaluation, bias testing, and accuracy monitoring for vision systems. 

• Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection). 

• Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications. 

QUALIFICATIONS: 

Required 

• 3+ years of experience in computer vision, image processing, or applied machine learning. 

• Hands-on experience with computer vision models and techniques (e.g., CNNs, transformers for vision, feature embeddings). 

• Experience building or integrating image analytics such as facial recognition, object detection, or image similarity. 

• Strong programming skills in Python; experience with common CV/ML libraries (PyTorch, TensorFlow, OpenCV, etc.). 

• Solid understanding of machine learning fundamentals, model evaluation, and performance tradeoffs. 

• Experience working with large image datasets and production ML pipelines. 

• Ability to work collaboratively in a fast-moving, mission-driven engineering environment. 

Preferred 

• Experience with facial matching or biometric systems in regulated or high-stakes environments.
• Experience with image-based geolocation or scene/location inference.
• Familiarity with multimodal AI systems, including combining vision models with LLMs or natural-language search. 

EDUCATION:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 
Advanced degree is a plus but not required. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.