Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Senior Machine Learning Engineer

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasone...

Location

United States , New York; San Francisco

Salary:

148000.00 - 200000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field
3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems
Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP
Solid software engineering skills with proficiency in one or more programming languages, including Python
Experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
Proficiency in SQL is also required for writing complex queries and transforming data
Experience building REST API-based services
Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes
Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences
A passion for quickly learning new technologies and a drive to solve challenging problems

Job Responsibility

Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery
End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring
Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes
Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation
Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle

What we offer

Taskrabbit is a Hybrid Company
The People
The Diverse Culture
Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees
We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more

Fulltime

Solutions Engineer

As a Solutions Engineer at Encord, you will be the core technical expert and pro...

Location

United Kingdom , London

Salary:

Not provided

Encord

Expiration Date

Until further notice

Requirements

2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
Expert-level proficiency in Python is a must
Excellent communication and presentation skills
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
A 'hacker mindset' with a strong engineering foundation
A solution-driven and customer-obsessed mindset
Ability to translate value between technical and commercial stakeholders

Job Responsibility

Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win
Lead deep technical discovery sessions with a wide range of stakeholders to not only uncover business pain but to architect a complete technical solution and integration path
Architect, build, and deliver highly-technical, customized product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems
Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations
Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data
Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs)
Serve as the 'voice of the customer' to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap

What we offer

Competitive salary and equity in a hyper growth business
Strong in-person culture
Room to grow into anything you choose to
25 days annual leave a year + public holidays

Fulltime

Senior Director – BioIntelligence

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a...

Location

United States , Thousand Oaks

Salary:

239775.00 - 295217.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems
OR Master’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems
OR Bachelor’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems
At least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources

Job Responsibility

Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling
Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery
Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities
Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity
Advance modeling approaches using modern AI techniques such as: protein language models
generative modeling and inverse folding
representation learning
active learning and Bayesian optimization
Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data
Lead development of production-quality research software and deployable ML models used across discovery teams

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Sr. Delivery Solutions Architect

At Databricks we are on a mission to empower our customers to solve the world's ...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Experience understanding architecture related distributed data systems, specifically within one of the following: Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts
Influencing and leading teams - especially without having direct reporting line responsibility
Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences at all levels of an organization with particular success in building and maintaing strong CxO level relationship
Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Building and steering to a value case - business value consulting and realization

Job Responsibility

Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts
Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account
Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to execute on the right tasks that are beyond your scope of activities or expertise
Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA
Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
10+ years of industry experience in software engineering and AI/ML
5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
Experience working with cross-functional teams (product, science, product ops, etc.)

Job Responsibility

Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer in Relevance to define and lead the techn...

Location

United States , San Francisco; New York

Salary:

284000.00 - 426000.00 USD / Year

Patreon

Expiration Date

Until further notice

Requirements

8+ years of professional experience in applied machine learning, with a focus on search, ranking, or recommendation systems
Proven experience designing and deploying production ML systems serving millions of users
Strong programming skills in Python
Proficiency in backend development and experience integrating ML systems into production environments
Ability to prototype or visualize ML outputs in interactive UI contexts to help teams interpret model impact
Expertise in building and maintaining data pipelines, feature stores, and model observability systems
Deep understanding of embedding-based retrieval, ranking algorithms, and personalization architectures
Strong collaboration skills — able to partner effectively with engineers, designers, and PMs
Experience mentoring senior engineers and driving cross-team technical alignment
Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent experience

Job Responsibility

Design and build large-scale ranking, search, and recommendation systems that power discovery across the platform
Architect and productionize end-to-end ML pipelines (data ingestion, feature generation, model training, evaluation, deployment, and monitoring)
Prototype visualizations for the impact of new ML models to help bridge collaboration with product and design partners
Develop embedding systems and retrieval models that serve millions of users in real time
Establish and evolve ML observability and performance monitoring for relevance metrics
Partner with cross-functional leaders to align on roadmap, goals, and impact
Mentor and guide engineers, fostering a high bar for technical excellence and experimentation

What we offer

Equity
healthcare
flexible time off
company holidays and recharge days
commuter benefits
lifestyle stipends
learning and development stipends
patronage
parental leave
401k plan with matching

Fulltime

Director senior director antibody discovery

BigHat is seeking an exceptional and highly experienced individual for a positio...

Location

United States , San Mateo

Salary:

230000.00 - 270000.00 USD / Year

BigHat Biosciences

Expiration Date

Until further notice

Requirements

Ph.D. in molecular biology, biochemistry, protein engineering, or related discipline with 12+ years of experience in antibody discovery and engineering within academia, biotechnology, or pharmaceutical industries
8+ years of managerial experience leading scientific teams
Strong expertise with protein display systems such as yeast, phage, mammalian, or mRNA display
Demonstrated experience with antibody library design, construction, screening, and selection analysis
Deep understanding of antibody structure-function relationships and mechanisms of antigen recognition
Experience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates
Familiarity with computational or ML-enabled approaches to protein design and optimization
Experience advancing biologics from early discovery through lead optimization stages
Knowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats
Strong leadership skills with experience building and mentoring scientific teams

Job Responsibility

Lead BigHat’s antibody discovery and display functions, setting the scientific, technical, and strategic direction
Oversee the routine execution of display-based selection campaigns to enhance and diversify affinity, developability, and function across diverse antibody formats and antigen types in support of BigHat and BigHat-partnered therapeutic programs
Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization
Shape and expand BigHat’s antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company’s integrated experimental and computational platform
Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics
Work closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization
Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives
Foster a collaborative and high-performance culture within the discovery organization

What we offer

Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
Dental, and vision coverage through Guardian
Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
401(k) with company match
DTO, two weeks of company-wide shutdown, and 12 company holidays
Paid parental leave
bonus
options

Fulltime

Senior Machine Learning Engineer - Discovery

Scribd

Location:
United States , San Francisco ▼
Atlanta
Austin
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Jacksonville
Los Angeles
Mexico City
Miami
New York City
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Sacramento
Salt Lake City
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Washington, D.C.

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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