diff --git a/crates/polars-ops/src/series/ops/is_in.rs b/crates/polars-ops/src/series/ops/is_in.rs
index cd773926fbdb..153eabc1a0c1 100644
--- a/crates/polars-ops/src/series/ops/is_in.rs
+++ b/crates/polars-ops/src/series/ops/is_in.rs
@@ -506,6 +506,8 @@ fn is_in_struct(ca_in: &StructChunked, other: &Series) -> PolarsResult<BooleanCh
         #[cfg(feature = "dtype-array")]
         DataType::Array(_, _) => is_in_struct_array(ca_in, other),
         _ => {
+            let ca_in = ca_in.cast(&ca_in.dtype().to_physical()).unwrap();
+            let ca_in = ca_in.struct_()?;
             let other = other.cast(&other.dtype().to_physical()).unwrap();
             let other = other.struct_()?;
 
diff --git a/py-polars/tests/unit/operations/test_is_in.py b/py-polars/tests/unit/operations/test_is_in.py
index 546a58d3b6fb..5e497c439823 100644
--- a/py-polars/tests/unit/operations/test_is_in.py
+++ b/py-polars/tests/unit/operations/test_is_in.py
@@ -390,3 +390,17 @@ def test_cat_list_is_in_from_single_str(val: str | None, expected: list[bool]) -
     res = df.select(pl.col("li").list.contains(pl.lit(val, dtype=pl.String)))
     expected_df = pl.DataFrame({"li": expected})
     assert_frame_equal(res, expected_df)
+
+
+def is_in_struct_enum_17618() -> None:
+    df = pl.DataFrame()
+    dtype = pl.Enum(categories=["HBS"])
+    df = df.insert_column(0, pl.Series("category", [], dtype=dtype))
+    assert df.filter(
+        pl.struct("category").is_in(
+            pl.Series(
+                [{"category": "HBS"}],
+                dtype=pl.Struct({"category": df["category"].dtype}),
+            )
+        )
+    ).shape == (0, 1)