CrawlJobs Logo

ML Engineer, Forward Deployed

priorlabs.ai Logo

Prior Labs

Location Icon

Location:

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

70000.00 - 110000.00 EUR / Year
Save Job
Save Icon
Apply Position

Job Description:

Prior Labs is building foundation models that understand tabular data, the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $600B opportunity to fundamentally change how organizations work with scientific, medical, financial, and business data.

Job Responsibility:

  • Customer Success & Deployment: Work hands-on with clients to deploy models, ensuring they achieve tangible business outcomes and measurable impact
  • Integration Engineering: Design and implement seamless integrations with platforms like Databricks, Snowflake, and complex enterprise ecosystems
  • Tailored AI Solutions: Customize and optimize models for diverse use cases, balancing performance, scalability, and business needs
  • Product Feedback Loop: Gather insights from customer deployments to inform and influence product development, shaping the evolution of our models
  • Cross-Functional Collaboration: Partner with ML researchers, product managers, and engineers to translate groundbreaking research into scalable, production-ready solutions

Requirements:

  • Strong engineering fundamentals with expert-level Python skills
  • Hands-on experience with ML frameworks, particularly PyTorch and Scikit-learn
  • Proven track record of deploying ML systems in production environments
  • Experience with Databricks, Snowflake, or other enterprise data platforms
  • Strategic problem-solving mindset with a strong focus on customer outcomes
  • Commitment to writing clean, maintainable, and well-documented code

Nice to have:

  • Experience in forward-deployed engineering or technical customer-facing roles
  • Contributions to open-source projects in ML or data engineering
  • Proficiency with cloud platforms (AWS, GCP, Azure) and modern data pipelines
  • Expertise in APIs, deployment pipelines, and enterprise integration architectures
  • Strong communication skills to engage both technical and business stakeholders
What we offer:
  • Competitive compensation package with meaningful equity
  • 30 days of paid vacation + public holidays
  • Comprehensive benefits including healthcare, transportation, and fitness
  • Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Icon
Prior Labs - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for ML Engineer, Forward Deployed

Staff Software Engineer, Forward Deployed

As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc.
  • Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS)
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
  • Be willing to be on-call for our customers when situations ari
  • Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across Europe with occasional international roll-outs—to work directly on-site with clients
Job Responsibility
Job Responsibility
  • Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
  • Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
  • Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
  • Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
  • Build shared infrastructure, reusable components, and internal playbooks to level-up the team
  • Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right

Software Engineer (Forward-Deployed)

Forward Deployed Engineer (FDE) to work directly with customers and deliver AI s...
Location
Location
United States , Austin
Salary
Salary:
220000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering or applied ML
  • fluent in Python + React, and comfortable across backend + frontend
  • worked with modern AI/LLM frameworks (PyTorch, Hugging Face, LangChain, etc.)
  • can talk to both engineers and business leaders with equal confidence
  • enjoy (or are keen to) working directly with customers — you’re extroverted, consultative, and thrive in high-trust relationships
  • shipped production systems in complex environments (cloud, hybrid, on-prem)
  • open to regular client travel (25–45%)
Job Responsibility
Job Responsibility
  • Build and ship production-grade AI systems with Python and React
  • turn demos into end-to-end solutions that customers can actually use
  • fine-tune, evaluate, and deploy LLMs in enterprise environments
  • design pipelines, retrieval frameworks, and integrations across cloud and on-prem
  • work side-by-side with client teams, from engineers to execs
  • capture best practices into reusable frameworks and playbooks
What we offer
What we offer
  • 20% bonus + equity
  • Fulltime
Read More
Arrow Right

Software engineer (forward-deployed)

Forward Deployed Engineer (FDE) to work directly with customers and deliver AI s...
Location
Location
United States
Salary
Salary:
200000.00 - 220000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software engineering or applied ML
  • fluent in Python + React, and comfortable across backend + frontend
  • worked with modern AI/LLM frameworks (PyTorch, Hugging Face, LangChain, etc.)
  • can talk to both engineers and business leaders with equal confidence
  • enjoy working directly with customers — extroverted, consultative, and thrive in high-trust relationships
  • shipped production systems in complex environments (cloud, hybrid, on-prem)
  • open to regular client travel (25–75%)
Job Responsibility
Job Responsibility
  • Build and ship production-grade AI systems with Python and React
  • turn demos into end-to-end solutions that customers can actually use
  • fine-tune, evaluate, and deploy LLMs in enterprise environments
  • design pipelines, retrieval frameworks, and integrations across cloud and on-prem
  • work side-by-side with client teams, from engineers to execs
  • capture best practices into reusable frameworks and playbooks
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Principal Backend Engineer, Forward Deployed

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-im...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
225000.00 - 370000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
  • Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
  • Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
  • Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
  • Build shared infrastructure, reusable components, and internal playbooks to level-up the team
  • Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer - Data-as-a-Service

Snorkel AI is hiring data scientists and engineers who will work directly on Sno...
Location
Location
United States , New York City; Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of experience in data science and engineering roles
  • Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
  • Familiarity with LLM-based workflows and applying ML techniques in production contexts
  • Experience leveraging Backend APIs and interpreting associated technical documentation
Job Responsibility
Job Responsibility
  • Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
  • Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
  • Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
  • Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
  • Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
  • Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
  • Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
  • Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
  • Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
  • Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals
What we offer
What we offer
  • Equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Forward Deployed

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work direc...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
165000.00 - 266000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right

Forward-Deployed Data Scientist, AI Deployment

As our customer base continues to grow with the excitement around BrazeAI, we’re...
Location
Location
United States , New York City
Salary
Salary:
145800.00 - 2178000.00 USD / Year
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...
Location
Location
United States , New York City
Salary
Salary:
145800.00 - 2178000.00 USD / Year
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy