Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: Machine Learning Engineer, Assessments
Machine Learning Engineer, Assessments
Speak LLCSan Francisco
About this role We’re hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces). You will work in a tight l
MACHINE LEARNING ENGINEER
Gerra GroupSan FranciscoBuild ML systems that process, validate, and enhance training data for physical AI at unprecedented scale.COMPENSATION $210K - $300K + 0.15% - 0.45% EQUITYAbout the Role Training data quality is the b
Machine Learning Engineer
DeWinter GroupSan FranciscoTitle:Machine Learning EngineerJob Type:ContractContract Length:6 monthsTarget Start Date:ASAPWork Location/Structure:RemoteAbout the Opportunity Our client, a leader in Social Media and Content Platf
Machine Learning Engineer
Framework VenturesSan FranciscoAndalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersectio
Machine Learning Infrastructure Engineer
ZensorsSan FranciscoAbout Zensors Zensors is the spatial intelligence platform for the physical world. Our AI platform provides real-time insights—from airport queue times to office utilization—helping organizations make
Senior Machine Learning Engineer, Machine Learning Platform Technologies
AppleSan FranciscoSenior Machine Learning Engineer, Machine Learning Platform Technologies Seattle, Washington, United States Machine Learning and AIImagine what you could do here. At Apple, great ideas have a way of b
Machine Learning Engineer: Evaluation
Bedrock Robotics IncSan FranciscoJoin the team bringing advanced autonomy to the built world At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scale
Machine Learning Engineer
UnavailableSan FranciscoCompany Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business
Machine Learning Engineer - Product
I did my part and supported the Regular ToiletSan FranciscoMeet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major
Machine Learning Engineer
DocuSignSan FranciscoCompany Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business
Machine Learning Infra Engineer
Reducto, Inc.San FranciscoReducto helps AI teams ingest real world enterprise data with state‑of‑the‑art accuracy. The vast majority of enterprise data — from financial statements to health records — is locked in unstructured
Applied Machine Learning Engineer
jobs.frontdoordefense.com - JobboardSan FranciscoApplied Machine Learning Engineer Assist in generalizing learnings into the core Snorkel Flow platform. Location: San Francisco Bay Area, Seattle, Los Angeles, New YorkCompensation: $140,000 - 200,000
Senior Machine Learning Engineer
Alumni VenturesSan FranciscoLocation Strava SFEmployment Type Full timeLocation Type HybridDepartment Department Technology EngineeringCompensation$198K – $221.5K • Offers EquityWhat You’ll DoBuild for a Well Loved Consumer Prod
Senior Machine Learning Engineer
SierracorpSan FranciscoDefine the ML strategy, raise the technical bar, and build the systems that scale. You are a systems thinker who turns ambiguous business problems into scalable ML architectures, serving as a bridge b
Machine Learning Research Engineer
Roboflow, Inc.San FranciscoWho We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.We’re building the tools, commun
Machine Learning Engineer (NLP)
TonicAISan FranciscoTonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experience
Associate Machine Learning Engineer
HandshakeSan FranciscoAbout Handshake Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foun
Machine Learning Engineer
Alumni VenturesSan FranciscoLocation Strava SFEmployment Type Full timeLocation Type HybridDepartment Department Technology EngineeringCompensation$160K – $180K • Offers EquityThis range reflects base compensation only and does
Machine Learning Engineer
Deft AI, Inc.San FranciscoWhat you'll doDesign and develop a modular robot autonomy stack that composes Vision‑Language‑Action (VLA) models with purpose‑built modules to enable grasping and dexterous behaviors in unstructured
Machine Learning Engineer
Stackruit Ltd.San FranciscoBe a Machine Learning Ads Mastermind (US Remote) Northwest Talent Solutions is searching for a Machine Learning Engineer to join a dynamic U.S. company and build the future of brand advertising!The Op
Machine Learning Engineer
LatentSan FranciscoLatent is building the intelligence infrastructure for American healthcare. Our products are already helping hospitals and clinics dramatically increase workflow output, speed up patient access to med
Machine Learning Engineer
ACI InfotechSan FranciscoSan Francisco, CA (Hybrid) Full time Senior Level About This Role Join our AI team to build and deploy production machine learning systems for enterprise clients. You\'ll work on everything from model
Machine Learning Engineer
TrypulseSan FranciscoOverview Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to
Machine Learning Engineer
Willing TechSan FranciscoThis range is provided by Willing Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $300,000.00/yr Direct mess
Machine Learning Engineer
RunSybilSan FranciscoAbout RunSybil Founded in 2023 by Ari Herbert-Voss and Vlad Ionescu, RunSybil is on a mission to automate hacker intuition. We’re building Sybil: an AI-driven pentester that discovers vulnerabilities
Machine Learning Engineer, Assessments
- San Francisco, California, United States
- San Francisco, California, United States
Über
This role owns the implementation, deployment, and ongoing quality of our assessment algorithms and ML systems. While there is immediate need to improve and expand production assessments, this work is also building a platform capability that can be reused across the app.
What you’ll be doing
Ship and own assessment ML systems end-to-end
Build, deploy, and maintain scoring models/pipelines (feature extraction → model training → inference → feedback generation)
Own monitoring, regression tests, and ongoing iteration to maintain accuracy targets
Define and operationalize evaluation
Implement validation/evaluation frameworks for assessments, including metrics, test sets, and offline/online analysis
Translate assessment requirements into measurable acceptance criteria and guardrails
Partner deeply with the Assessment Design Lead
Co-develop the strategy, together with the Content team, to grow assessments into a core platform at Speak
Work in a tight weekly loop to deliver incremental improvement
Drive near-term delivery across products
Stand up or improve summative assessments (spoken language ability) and bring them reliably to production
Prototype and validate formative assessment approaches to measure improvement over weeks/months
Support data and labeling strategy
Help define data needs for training/evaluation (including psychometric measurement needs)
Build or improve pipelines that support label collection and analysis (especially for efficacy studies)
What we’re looking for
Domain expertise in spoken language proficiency assessment (linguistics, applied linguistics, pedagogy, or equivalent experience)
Strong experience designing and running evaluation + validation for assessment/scoring systems, and tailoring approaches to a specific product use case
4+ years building automatic proficiency assessment systems (or equivalent depth in closely related scoring/evaluation domains)
PhD is helpful but not required
Proven ability to ship ML models to production (not only research), including reliability, monitoring, and iteration
Strong generalist ML/analysis skills (statistics, Python, PyTorch/model training)
Ability to operate cross-functionally and communicate clearly with non-technical partners (Content/LD, PM, leadership)
Nice to have
Experience with speech/audio ML
Experience with psychometrics concepts (reliability/validity, calibration)
How we work (collaboration expectations) This role is designed to be highly collaborative with the Assessment Design Lead. Success depends on a tight loop where constructs/rubrics and model outputs co-evolve — not a sequential handoff.
Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.